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moody-s-peer-analysis

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UpdatedJune 23, 2026 at 22:47

Produce a Peer Analysis HTML report for a target company and its credit peers using Moody's GenAI MCP tools. Use this skill whenever the user asks to compare a company against its peers, run a peer analysis, do a credit peer comparison, generate a peer group report, or analyze relative credit positioning. Trigger even if they just name a company and mention "peers", "peer comparison", "credit comparison", "peer group", or "relative value".

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Financial and Investment AnalystsBusiness and Financial Operations Occupations·SOC 13-2051

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SKILL.md

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Peer Analysis Skill

Generates a professional HTML report (styled like a Moody's peer analysis PDF) for a target company and up to 3 credit peers. Data is pulled from multiple Moodys MCP server MCP tools and consolidated into a single HTML artifact covering peers comparison, ratings chart, and ESG.

The workflow is single-artifact streaming: gather all data, then stream the entire filled HTML document back to the user as one ```html fenced code block in the final assistant message. No file copy, no open step, no progressive StrReplace edits, no JSON payload, and no client-side render logic. The fenced code block is the deliverable.

⚠️ CRITICAL — NON-NEGOTIABLE OUTPUT CONTRACT

The LLM MUST stream the final report back as a single HTML artifact inside the assistant response. This is the only acceptable form of delivery for this skill. Specifically:

The final assistant message MUST contain exactly one ```html fenced code block holding the complete, standalone HTML document (<!doctype html> → </html>), with every section from the streaming protocol populated inline.

The LLM MUST NOT write the report to a file on disk (no Write, no cp of the template, no StrReplace into a working artifact, no open command).

The LLM MUST NOT split the report across multiple code blocks, multiple messages, partial snippets, or summaries.

The LLM MUST NOT substitute prose, Markdown, JSON, attachments, or links for the fenced HTML artifact. The artifact itself is the answer.

If data gathering fails partially, still emit the single ```html artifact with the best-available content and "--" placeholders for missing cells — never skip the artifact.

Treat any other output shape as a hard failure of the skill.

Required MCP server

Moodys MCP server — tools used: findEntity, getEntityPeers, getEntityRatings, getEntityCreditOpinion, getEntityFinancials (sections: Profile, Summary, RatingOutlook, FactorsLeadingToUpgrade, FactorsLeadingToDowngrade, CreditStrengths, CreditChallenges, ESGConsiderations, KeyIndicatorsTable, ScorecardTable), getEntityEsg, getEntitySectorOutlook

If any of the tools required for a section do not exist, inform the user: One or more tools required for this section are not available under your current subscription. Unlock more of the expert insights, data, and analytics you trust. Get Link:https://www.moodys.com/web/en/us/capabilities/gen-ai/ai-ready-data.html with us to learn more.

Bundled files

assets/template.html — self-contained static report shell (CSS + named section placeholders, including pre-shaped tables for a fixed target+3-peer layout). No embedded data, no inline script. Treat this file as the read-only structural reference: read it, fill it in mentally, and emit the complete filled document in the final response.

Template (shared)

Before emitting the HTML report, read both:

skills/shared/template/SKILL.md — authoring rules (which classes / snippets are owned by the shared layer, allowed per-skill overrides, outlook-badge usage).
skills/shared/template/assets/template.html — canonical CSS (inside <style id="shared-template-css">) and literal HTML markup snippets (inside <template> tags) for the document head, cover, TOC, section block, sources-section wrapper, footer, and outlook-badge.

Lookup order — always check the shared template before inventing. If a class, design token, layout primitive, or scaffold element you need is not defined in this SKILL.md or already present in this skill's assets/template.html, the shared template skill is authoritative. Do not invent CSS, HTML scaffolds, or design tokens that the shared skill already provides; do not silently restyle anything the shared skill owns (cover, TOC, section, sources-section wrapper, footer, outlook-badge, design tokens, reset, body / page base).

At emit time, copy the contents (not the <style> wrapper) of <style id="shared-template-css"> from the shared asset into the parent template's reserved marker region between the CSS-comment markers /* BEGIN shared-template-css ... */ and /* END shared-template-css */. For HTML scaffolds (head boilerplate, cover, TOC, sources-section wrapper, footer), use the literal markup from the matching <template> snippet in the shared asset. The parent template no longer carries duplicated chrome CSS — those rules ship only in the shared asset.

This skill uses the cover-multi variant. Skill-specific override retained above the marker region: **.page { max-width: 1050px }** (PA reports are wider than the 900px canonical default to fit the multi-column scorecard / key-indicators tables). Skill-specific CSS that stays local: .sub-heading, all PA-specific table classes (.pa-table, .credit-drivers-table, .ki-table, .sc-table), and the chart helpers (.chart-container, .chart-title, .chart-legend, .chart-legend-item, .chart-legend-swatch). All outlook-badge usage in this skill must use the canonical pastel variants (stable / positive / negative / review / na) defined by the shared skill — no solid-fill or inline-color overrides. PA flags the target entity on the cover with class="company-chip target"; the chip wrappers themselves come from the shared cover-multi snippet.

Citations (shared)

Before emitting any [n] reference inline, any per-section recap block, or the end-of-document Citations block, read both:

skills/shared/citations/SKILL.md — authoring rules (numbering, hyperlinking, source data shape, carve-outs).
skills/shared/citations/assets/template.html — canonical CSS (inside <style id="shared-citations-css">) and literal HTML markup snippets (inside <template> tags) for inline references, the end-of-document Citations block, and the optional .section-citations recap.

At emit time, copy the contents (not the wrapper) of <style id="shared-citations-css"> from the shared asset into the parent template's reserved marker region, located inside assets/template.html between the CSS-comment markers /* BEGIN shared-citations-css … */ and /* END shared-citations-css */. The parent template no longer carries duplicated citation CSS — those rules ship only in the shared asset.

The prefix used for the end-of-document container in this skill is pa, so the container id is #pa-sources. Optional per-section recap blocks live in #pa-cite-peers, #pa-cite-ratings, and #pa-cite-esg. Internal MCP tool names (e.g. getEntityCreditOpinion) are NEVER rendered inside .source-meta.

Step 1 — Resolve the target company

Call findEntity with the company name provided by the user. Store the canonical entity name and entity ID.

If the user provides only one company name, that is the target company. The peers will be discovered automatically in Step 2.

Step 2 — Discover and resolve peers

Call getEntityPeers for the target company. Select the top 3 peers returned.

You now have a set of up to 4 companies (1 target + up to 3 peers). For each peer, call findEntity to resolve its canonical entity name and ID.

Step 3 — Read the template

Read assets/template.html (relative to this skill directory) once. Keep its exact structure — CSS, <head>, section order, table skeletons (including all pre-shaped 4-company columns/rows), row labels, and element IDs — as the scaffold for the final artifact. Do not copy it to the workspace and do not open it.

Step 4 — Gather all data in parallel

For every company in the set (target + up to 3 peers), fire all of the following in a single parallel batch (one message, many tool calls):

Credit Opinion data (per company)

Call getEntityCreditOpinion,getEntityFinancials requesting these sections, about the key Indicators table this should be populated with most recent fiscal year available (e.g. 2025 FY) on getEntityFinancials. Not LTM allowed:

Section parameter	Purpose
`Profile`	Company description for the Peers Table
`FactorsLeadingToUpgrade`	Upgrade factors for Credit Drivers
`FactorsLeadingToDowngrade`	Downgrade factors for Credit Drivers
`CreditStrengths`	Credit strengths for Credit Drivers
`CreditChallenges`	Credit challenges for Credit Drivers
`KeyIndicatorsTable`	Financial metrics for Key Indicators table
`ScorecardTable`	Scorecard data

Ratings (per company)

Call getEntityRatings — retrieve the current long-term rating, rating class, rating date, outlook, and historical ratings (need at least the last 5 rating actions for the Ratings Chart).

ESG (per company)

Call getEntityEsg — overall CIS classification plus E, S, G sub-scores.

Sector outlook (once per sector)

Call getEntitySectorOutlook for the target company's sector. Reuse for peers in the same sector.

Hold all results in context for Step 5 synthesis.

Step 5 — Synthesize + emit the complete artifact

After data is gathered, produce one final assistant message. The message contains:

A one-line summary sentence (e.g. Peer Analysis for {Target Company}:).
A single fenced ```html code block containing the entire filled template.html document — with every element from the streaming protocol populated in place. No partial documents, no separate code blocks per section.

The code block must:

Start at column 0 with ```html and end with a closing ``` on its own line.
Contain a complete, standalone HTML document (doctype → </html>) that renders without external dependencies.
Preserve the template's <head> (CSS, fonts), section order, table skeletons, row labels, and element IDs exactly. Only the empty targets defined below are populated.

Write in professional financial/credit analysis language. Always reference specific companies by name. The target company is always the first column / first row in every table. Render order of content inside the code block follows the page top-to-bottom so the artifact is human-readable as well as browser-renderable: cover/header fields first, then Peers Comparison sub-sections (1–6), Ratings Chart, ESG, and citations/sources last.

Attribute substantive claims with numbered citation references. The exact inline markup, the URL-less fallback, and the rule that n matches the row position of the source inside #pa-sources are defined in skills/shared/citations/SKILL.md.

Cover / header fields (write first)

#pa-report-date — e.g. April 20, 2026 (plain text)
#pa-footer-date — same value (plain text)
#pa-target-company — canonical name of the target (plain text)
#pa-peer-count — integer count of peers resolved in Step 2 (plain text)
#pa-company-chips — <span class="company-chip target">Target</span> followed by one <span class="company-chip">Peer</span> per peer (space-separated; target first)
#pa-cover-img-right, #pa-cover-img-bottom — optional. If you have image URLs or data URIs to use, set the src attributes and add the has-cover-image class to the corresponding container (<div class="cover-top has-cover-image"> and/or <div class="cover-bottom has-cover-image">). If you do not have images, leave the template as-is — the empty image strips will collapse automatically and the cover will render as a clean navy block with the accent bar.

Section 1 — Peers Comparison Table & Analysis

1) Peers Table → <tbody id="pa-peers-table">

Write one <tr> per company. Two columns: company name + a substantive description paragraph sourced from the Credit Opinion Profile section (headquarters, business overview, key brands/segments, approximate TTM revenue). Description paragraphs may carry inline citations.

2) Peers Rating → <tbody id="pa-peers-rating">

Write one <tr> per company. Three columns: company name, rating (formatted as {rating} ({rating class} / {date})), and <span class="outlook-badge …">Outlook</span>. Use class rules below.

3) Credit Drivers — 5 rows × 4 company columns, pre-shaped <table> with per-cell IDs

Write the 4 company header cells first:

#pa-cd-col-1 — target name (plain text)
#pa-cd-col-2, #pa-cd-col-3, #pa-cd-col-4 — peer names in order (leave empty if fewer than 3 peers were resolved)

Then write the 20 body cells (#pa-cd-r{1..5}-c{1..4}). Each cell is a substantive paragraph with specific quantitative thresholds where available. Cells may carry inline citations:

Row 1 (Upgrade factors) — from FactorsLeadingToUpgrade
Row 2 (Downgrade factors) — from FactorsLeadingToDowngrade
Row 3 (Credit strengths (qualitative)) — from CreditStrengths
Row 4 (Credit challenges (qualitative)) — from CreditChallenges
Row 5 (Quantitative support (most recent financials in context)) — from KeyIndicatorsTable; cite the most recent period's key metrics (debt/EBITDA, EBITA margin, EBITA/interest, RCF/net debt, revenue)

If a Credit Opinion section is missing for a company, write Not available in the corresponding cell rather than leaving it blank.

4) Key Indicators — 4 rows × 11 columns, pre-shaped <table>

For each company row r ∈ {1..4} (target = row 1), write the 11 cells:

#pa-ki-r{r}-company — company name
#pa-ki-r{r}-v1 — Period (e.g. 2025 FY)
#pa-ki-r{r}-v2 — Revenue (USD)
#pa-ki-r{r}-v3 — Total Debt (USD)
#pa-ki-r{r}-v4 — EBITA (USD)
#pa-ki-r{r}-v5 — EBITA Margin
#pa-ki-r{r}-v6 — EBITDA (USD)
#pa-ki-r{r}-v7 — Debt/EBITDA
#pa-ki-r{r}-v8 — EBITA/Interest
#pa-ki-r{r}-v9 — Net LT Debt (USD)
#pa-ki-r{r}-v10 — RCF/Net Debt

Source all values from getEntityFinancials. If fewer than 3 peers are resolved, leave the unused row's cells empty.

5) Scorecards — 7 rows × 8 sub-columns (4 companies × Current/Forward), pre-shaped <table>

Write the 4 top-level company headers first:

#pa-sc-col-1 — target name
#pa-sc-col-2, #pa-sc-col-3, #pa-sc-col-4 — peer names

Write the 8 sub-header labels:

#pa-sc-col-{1..4}-curr — current-period label (e.g. Current 2025 FY)
#pa-sc-col-{1..4}-fwd — forward-period label (e.g. Forward)

Then write the 56 body cells (#pa-sc-r{1..7}-c{1..4}-curr and -fwd) for the 7 rows:

Row 1 — Scale: Revenue/Sales (USD bn)
Row 2 — Profitability: EBIT(A) margin
Row 3 — Leverage: Debt/EBITDA
Row 4 — Cash flow: RCF/Net debt
Row 5 — Coverage: EBIT(A)/Interest
Row 6 — Scorecard-indicated outcome
Row 7 — Actual rating

Source from ScorecardTable in the Credit Opinion and getEntityFinancials

6) Conclusion → #pa-conclusion

Three <p> paragraphs focused on differentiation of the target among its peers. Paragraphs may carry inline citations:

Paragraph 1: How the target differentiates positively vs. weaker peers on quantitative metrics (leverage, coverage, cash flow). Cite specific ratios.
Paragraph 2: Business risk profile comparison — where the target is more concentrated or less diversified vs. stable peers. Reference upgrade/downgrade triggers.
Paragraph 3: Practical positioning — frame the target's "path to stand out" by linking back to the upgrade/downgrade framework and key risk factors.

Section 2 — Ratings Chart

Chart → #pa-ratings-chart

Emit a single inline <svg> block authored by the agent (see SVG template below). The chart plots the last 5 rating actions for each company as a line chart. X-axis uses sequential labels (Rating 1 … Rating 5, most recent first); Y-axis maps Moody's rating symbols to a numeric scale.

Analysis → #pa-ratings-analysis

One <p> paragraph on rating trajectories — which companies show improvement, deterioration, or stability, and what that implies for relative credit positioning. May carry inline citations.

Section 3 — ESG Table & Analysis

ESG Table → <tbody id="pa-esg-table">

Write one <tr> per company. Five columns: company name, Overall (CIS-), Environmental (E-), Social (S-), Governance (G-).

Analysis → #pa-esg-analysis

Two <p> paragraphs. Paragraphs may carry inline citations:

Paragraph 1: Compare ESG profiles across the peer set. Identify which companies share similar profiles and what drives the overall classification.
Paragraph 2: Highlight the key differentiator (typically Governance) and explain which company stands out as weaker/stronger and why.

Citations & sources (write last)

#pa-cite-peers — optional <div class="section-citations">…</div> recap for the peers-comparison section. Use the markup defined in skills/shared/citations/SKILL.md. Omit if empty.
#pa-cite-ratings — optional recap for the ratings-chart section. Same markup.
#pa-cite-esg — optional recap for the ESG section. Same markup.
#pa-sources — end-of-document Citations rows. One <div class="source-item"> per source, in [1], [2], … order, using the canonical row markup from the shared citations skill. Internal MCP tool names are NEVER rendered in .source-meta.

Streaming protocol (element → content mapping)

Element ID	Content type
`#pa-report-date`	Plain text date
`#pa-footer-date`	Plain text date (same value)
`#pa-target-company`	Plain text (canonical target name)
`#pa-peer-count`	Plain text integer
`#pa-company-chips`	`<span class="company-chip target">` + `<span class="company-chip">`s
`#pa-cover-img-right`, `#pa-cover-img-bottom`	`<img>` element — set `src` attribute
`<tbody id="pa-peers-table">`	`<tr>` rows (company name + description) with inline citations
`<tbody id="pa-peers-rating">`	`<tr>` rows with `<span class="outlook-badge …">`
`#pa-cd-col-1` … `#pa-cd-col-4`	Plain text (company names)
`#pa-cd-r{1..5}-c{1..4}`	Prose cell content (short `<p>` or plain text) with inline citations
`#pa-ki-r{1..4}-company`	Plain text (company name)
`#pa-ki-r{1..4}-v{1..10}`	Plain text (period / metric value)
`#pa-sc-col-1` … `#pa-sc-col-4`	Plain text (company names, span 2 sub-columns)
`#pa-sc-col-{1..4}-curr`, `#pa-sc-col-{1..4}-fwd`	Plain text sub-header labels (Current / Forward period)
`#pa-sc-r{1..7}-c{1..4}-curr`, `…-fwd`	Plain text scorecard cell values
`#pa-conclusion`	Three `<p>` paragraphs with inline citations
`#pa-ratings-chart`	Single `<div class="chart-container">…<svg>…</svg>…</div>` block
`#pa-ratings-analysis`	One `<p>` paragraph with inline citations
`<tbody id="pa-esg-table">`	`<tr>` rows (company + overall + E + S + G)
`#pa-esg-analysis`	Two `<p>` paragraphs with inline citations
`#pa-cite-peers`, `#pa-cite-ratings`, `#pa-cite-esg`	`<div class="section-citations">…</div>` (optional, see shared citations skill)
`#pa-sources`	`<div class="source-item">` rows (see shared citations skill)

If fewer than 3 peers are returned, leave unused column/row IDs empty. Do not collapse or remove cells — the pre-shaped table simply keeps those cells blank.

Reference HTML snippets

Peers table row (<tbody id="pa-peers-table">):

<tr>
  <td class="company-name">Target Co</td>
  <td>Headquartered in Dearborn, Michigan, Target Co is a global automaker with TTM revenue of approximately $180B <a href="https://example.com/credit-opinion-target" target="_blank" class="cite-ref">[1]</a>, anchored by its F-Series, SUV, and Pro commercial businesses <a href="https://example.com/profile-target" target="_blank" class="cite-ref">[2]</a>.</td>
</tr>

Peers rating row (<tbody id="pa-peers-rating">):

<tr>
  <td class="company-name">Target Co</td>
  <td>Baa3 (Senior Unsecured - Dom Curr / 2024-05-09)</td>
  <td><span class="outlook-badge stable">Stable</span></td>
</tr>

Company chips (#pa-company-chips):

<span class="company-chip target">Target Co</span>
<span class="company-chip">Peer One</span>
<span class="company-chip">Peer Two</span>
<span class="company-chip">Peer Three</span>

ESG table row (<tbody id="pa-esg-table">):

<tr>
  <td class="company-name">Target Co</td>
  <td>CIS-3</td>
  <td>E-4</td>
  <td>S-3</td>
  <td>G-2</td>
</tr>

Credit Drivers — per-cell write (repeat for each of the 20 body cells):

Leverage sustained below 2.5x Debt/EBITDA, EBITA margin above 7%, and sustained positive free cash flow after dividends <a href="https://example.com/credit-opinion-target" target="_blank" class="cite-ref">[1]</a>.

Conclusion paragraph (inside #pa-conclusion, same inline-citation pattern applies to #pa-ratings-analysis and #pa-esg-analysis):

<p>On pure quantitative credit metrics, Target Co stands out decisively: Debt/EBITDA of 0.7x and EBITA/Interest of 27x are in line with the strongest-scoring peers, while its scale advantage (LTM revenue of $294B vs. $61B and $23B for the peer set) and FCF/Debt of 41% add a differentiation layer the others cannot match <a href="https://example.com/credit-opinion-target" target="_blank" class="cite-ref">[1]</a><a href="https://example.com/peer-ratings" target="_blank" class="cite-ref">[2]</a>.</p>

Key Indicators — single row (emit the full <tr> for each company inside the #pa-key-indicators table, keeping the per-cell id attributes intact):

<tr>
  <td id="pa-ki-r1-company">Target Co</td>
  <td id="pa-ki-r1-v1">LTM (30 Sep 2025)</td>
  <td id="pa-ki-r1-v2">180.2B</td>
  <td id="pa-ki-r1-v3">155.6B</td>
  <td id="pa-ki-r1-v4">7.8B</td>
  <td id="pa-ki-r1-v5">4.33%</td>
  <td id="pa-ki-r1-v6">13.1B</td>
  <td id="pa-ki-r1-v7">11.88x</td>
  <td id="pa-ki-r1-v8">3.62x</td>
  <td id="pa-ki-r1-v9">136.0B</td>
  <td id="pa-ki-r1-v10">18.5%</td>
</tr>

Scorecard — per-cell write (Current or Forward):

2.7x

Section citations recap (#pa-cite-peers, #pa-cite-ratings, #pa-cite-esg) and sources rows (#pa-sources): see skills/shared/citations/SKILL.md for the canonical markup. Reuse the same [n] numbering across inline references, optional recap blocks, and the end-of-document Citations block. Never include MCP tool names in .source-meta.

Ratings Chart SVG template

Emit the entire chart as a single HTML string into #pa-ratings-chart. The agent authors the SVG directly — there is no runtime script.

Hardcoded constants

Dimensions: W = 700, H = 350
Padding: PAD_L = 70, PAD_R = 30, PAD_T = 30, PAD_B = 50
Plot area: width = W - PAD_L - PAD_R = 600, height = H - PAD_T - PAD_B = 270
Number of x-axis points: maxPts = the largest number of ratings any company has, capped at 5
Palette (first = target): #0066cc, #e6550d, #1a7a4a, #8b5cf6, #d63384

Moody's rating → numeric value map

Rating	Value	Rating	Value
Aaa	21	Ba1	11
Aa1	20	Ba2	10
Aa2	19	Ba3	9
Aa3	18	B1	8
A1	17	B2	7
A2	16	B3	6
A3	15	Caa1	5
Baa1	14	Caa2	4
Baa2	13	Caa3	3
Baa3	12	Ca	2
		C	1

RATING_LABELS (index 0..20 → symbol): ["C", "Ca", "Caa3", "Caa2", "Caa1", "B3", "B2", "B1", "Ba3", "Ba2", "Ba1", "Baa3", "Baa2", "Baa1", "A3", "A2", "A1", "Aa3", "Aa2", "Aa1", "Aaa"].

Coordinate formulae

Compute once per chart:

Collect every rating value across all companies' last-5 series → values[].
minV = clamp(min(values) - 1, 1, 21)
maxV = clamp(max(values) + 1, 1, 21) (ensure maxV > minV; if equal, set maxV = minV + 1)

Per point (i, v) where i is the x-index (0-based) and v is the rating value:

xPos(i) = PAD_L + (i / (maxPts - 1)) * 600 = 70 + (i / (maxPts - 1)) * 600
yPos(v) = PAD_T + 270 - ((v - minV) / (maxV - minV)) * 270 = 30 + 270 - ((v - minV) / (maxV - minV)) * 270

Reference SVG block

<div class="chart-container">
  <div class="chart-title">Last 5 Ratings for Target and Peers</div>
  <svg viewBox="0 0 700 350" width="100%" preserveAspectRatio="xMidYMid meet">
    <!-- Horizontal gridlines + y-axis rating labels (one line + label per rating tick from minV to maxV) -->
    <line x1="70" y1="30"  x2="670" y2="30"  stroke="#e5e7eb" stroke-width="1"/>
    <text x="64" y="34" text-anchor="end" font-size="10" fill="#475569">Baa1</text>
    <line x1="70" y1="84"  x2="670" y2="84"  stroke="#e5e7eb" stroke-width="1"/>
    <text x="64" y="88" text-anchor="end" font-size="10" fill="#475569">Baa2</text>
    <line x1="70" y1="138" x2="670" y2="138" stroke="#e5e7eb" stroke-width="1"/>
    <text x="64" y="142" text-anchor="end" font-size="10" fill="#475569">Baa3</text>
    <line x1="70" y1="192" x2="670" y2="192" stroke="#e5e7eb" stroke-width="1"/>
    <text x="64" y="196" text-anchor="end" font-size="10" fill="#475569">Ba1</text>
    <line x1="70" y1="246" x2="670" y2="246" stroke="#e5e7eb" stroke-width="1"/>
    <text x="64" y="250" text-anchor="end" font-size="10" fill="#475569">Ba2</text>
    <line x1="70" y1="300" x2="670" y2="300" stroke="#e5e7eb" stroke-width="1"/>
    <text x="64" y="304" text-anchor="end" font-size="10" fill="#475569">Ba3</text>

    <!-- X-axis baseline + tick labels -->
    <line x1="70" y1="300" x2="670" y2="300" stroke="#334155" stroke-width="1.5"/>
    <text x="70"  y="320" text-anchor="middle" font-size="10" fill="#475569">Rating 1</text>
    <text x="220" y="320" text-anchor="middle" font-size="10" fill="#475569">Rating 2</text>
    <text x="370" y="320" text-anchor="middle" font-size="10" fill="#475569">Rating 3</text>
    <text x="520" y="320" text-anchor="middle" font-size="10" fill="#475569">Rating 4</text>
    <text x="670" y="320" text-anchor="middle" font-size="10" fill="#475569">Rating 5</text>

    <!-- Target company line (palette[0] = #0066cc) -->
    <path d="M70,138 L220,138 L370,192 L520,192 L670,192"
          fill="none" stroke="#0066cc" stroke-width="2.5"/>
    <circle cx="70"  cy="138" r="4" fill="#0066cc"/>
    <circle cx="220" cy="138" r="4" fill="#0066cc"/>
    <circle cx="370" cy="192" r="4" fill="#0066cc"/>
    <circle cx="520" cy="192" r="4" fill="#0066cc"/>
    <circle cx="670" cy="192" r="4" fill="#0066cc"/>

    <!-- Repeat <path>+<circle>s for peers 2, 3, 4 using palette[1..3] -->
  </svg>
  <div class="chart-legend">
    <div class="chart-legend-item"><span class="chart-legend-swatch" style="background:#0066cc"></span>Target Co</div>
    <div class="chart-legend-item"><span class="chart-legend-swatch" style="background:#e6550d"></span>Peer One</div>
    <div class="chart-legend-item"><span class="chart-legend-swatch" style="background:#1a7a4a"></span>Peer Two</div>
    <div class="chart-legend-item"><span class="chart-legend-swatch" style="background:#8b5cf6"></span>Peer Three</div>
  </div>
</div>

Class-selection rules

.outlook-badge modifier (inside peers-rating rows):

stable — outlook is "Stable"
positive — outlook is "Positive"
negative — outlook is "Negative"
review — outlook contains "Review" (e.g., "Rating Under Review")
na — outlook is missing or unknown

.company-chip.target applies only to the target (first) chip. Remaining chips use plain .company-chip.

Conventions

Use <p> for paragraphs, <ul><li> for bullets, <strong class="subsection-title">…</strong> for bold subheaders inside prose containers.
Emit inline citations per skills/shared/citations/SKILL.md. Inline citations are the primary attribution mechanism — the optional per-section blocks (#pa-cite-peers, #pa-cite-ratings, #pa-cite-esg) remain available as supplementary summary boxes.
Do NOT include overall section titles — the template already has those.
rating values: use Moody's rating symbol (e.g. Aaa, Aa1, Baa2, Ba1). If not found, use N/A.
outlook values: Stable, Positive, Negative, Rating Under Review, or N/A.

Step 6 — Tell the user

After the ```html code block, add a single short sentence confirming the artifact is complete (e.g. Artifact rendered above — the report is fully self-contained HTML.). Do not write the artifact to disk and do not suggest shell commands. The code block itself is the deliverable.

Tips

Run ALL data-gathering tool calls in a single parallel batch (one message, many tool calls).
Emit the final HTML as one html fenced code block — do not stream partial sections, do not split across multiple messages, do not write to disk.
The target company always appears as the first column / first row in every table and comparison.
The conclusion must orient around the target company — how it differentiates from its peers.
If fewer than 3 peers are returned, leave the unused column/row IDs empty. The pre-shaped tables keep those cells blank — do not attempt to collapse or restructure the table.
If getEntityCreditOpinion does not return a particular section, write Not available in the corresponding cell rather than leaving it blank.
getEntitySectorOutlook typically applies to all companies in the same sector — call once and reuse.
Emit the ratings-chart SVG directly into #pa-ratings-chart — the template no longer builds the chart at render time. Pick the .outlook-badge class yourself using the rules above.
For companies with fewer than 5 historical ratings, either repeat the oldest available rating value to fill the trailing points, or reduce maxPts in the chart formula to the largest available count (and drop the corresponding Rating k x-axis labels).
Inline citations follow the shared citations skill — read skills/shared/citations/SKILL.md before authoring any [n] reference or the Citations block.

Step 7 — Save and deliver the report as a downloadable file

After assembling the complete HTML string (same content that would have been emitted as the fenced code block), write it to disk as a standalone .html file and make it available for the user to download. Do not print the raw HTML in the chat.

File naming

Use the pattern: {target_company_slug}_peer_analysis.html

Where {target_company_slug} is the target company's canonical name lowercased, spaces and special characters replaced with underscores (e.g. apple_inc_peer_analysis.html).

Delivery

After writing the file, use whatever file-presentation capability is available in the current environment to surface the file to the user so they can open or download it. Do not describe the tool being used — just invoke it. Then add one short confirmation sentence, for example: The peer analysis report for [Target Company] is ready to download above.

Do not print the HTML source in the chat. Do not emit a fenced ```html code block. The saved file is the sole deliverable.

Amendment: Always use the most recent fiscal year for Key Indicators and Scorecards

When populating the Key Indicators table (#pa-ki-r{1..4}-*) and the Scorecard table (#pa-sc-r{1..7}-c{1..4}-curr), always use the most recent fiscal year-end (FY) data available from getEntityFinancials — never default to an earlier year simply because the credit opinion's Key Indicators table cites it, or because one peer's most recent year differs from another's.

Procedure

After calling getEntityFinancials with excludeInterimData: true, inspect the returned columns for each entity and identify the latest year with a non-null Revenue value — that is the most recent fiscal year end for that entity.
Use that year's figures for the Key Indicators table and the "Current" column of the Scorecard, regardless of what year the credit opinion's exhibit uses.
If different entities have different most-recent years (e.g. one entity has 2025 data while another only has 2024), use each entity's own most recent year independently and label the #pa-ki-r{n}-v1 cell accordingly (e.g. 2025 FY vs 2024 FY).

Handling distorted EBITDA years

If the most recent fiscal year contains a non-cash charge (e.g. goodwill impairment) that makes reported EBITDA or Debt/EBITDA not meaningful on a reported basis:

Still use that year as the period reference.
Populate EBITDA and ratio cells with the reported figure plus a † marker (e.g. -$1.6B†, N/M†).
Add a footnote below the Key Indicators table explaining the distortion and citing the Moody's-adjusted figure where available from the credit opinion.
Use the Moody's-adjusted ratio (from the credit opinion's Key Indicators table) for the Scorecard leverage cell rather than the distorted reported figure.

Amendment: Visual Enhancements

Three additional visual components are added to the report. Emit them inline as part of the single HTML artifact (same non-negotiable output contract applies). All new elements use only the CSS classes already defined in assets/template.html — no external scripts or libraries.

Visual 1 — Rating Summary Cards (`#pa-rating-cards`)

Placed immediately after the Peers Rating table (sub-heading 2), before sub-heading 3 (Credit Drivers). Emit one .rating-card per company (target first, then peers in order). The target card carries the extra class target-card.

What to populate:

.rc-company — abbreviated company name (≤ 25 chars; truncate with "…" if longer)
.rc-rating — Moody's rating symbol (e.g. Baa2)
.rc-class — rating class + date (e.g. Senior Unsecured / 2024-05-09)
.outlook-badge — outlook badge using the canonical pastel classes (stable, positive, negative, review, na)

Reference snippet (emit one block like this per company inside #pa-rating-cards):

<div class="rating-card target-card">
  <div class="rc-company">Target Co</div>
  <div class="rc-rating">Baa2</div>
  <div class="rc-class">Senior Unsecured / 2024-05-09</div>
  <span class="outlook-badge stable">Stable</span>
</div>

Visual 2 — Financial Comparison Bar Charts (`#pa-fi-charts`)

Placed immediately after the Key Indicators table (sub-heading 4), before sub-heading 5 (Scorecards). Emit a two-column grid (div.fi-chart-grid) containing exactly two div.fi-chart-box blocks:

Revenue — horizontal bar chart comparing Revenue (USD) for all companies
Debt/EBITDA — horizontal bar chart comparing Debt/EBITDA ratio for all companies

For each chart, the widths are proportional: the company with the largest value gets a fi-bar-fill width of 100%; all others are scaled relative to that maximum.

Colour palette (same as the ratings chart): target = #0066cc, peer 1 = #e6550d, peer 2 = #1a7a4a, peer 3 = #8b5cf6. Assign colours in the same company order as all other tables (target first).

Values: source from getEntityFinancials (same figures used in Key Indicators). Format Revenue as $XB or $XM; Debt/EBITDA as X.Xx.

If a value is missing or N/A, set fi-bar-fill width to 0% and display N/A in .fi-bar-value.

Reference snippet for one chart box (repeat once for Revenue, once for Debt/EBITDA):

<div class="fi-chart-box">
  <div class="fi-chart-title">Revenue (USD)</div>
  <div class="fi-bar-row">
    <span class="fi-bar-label">Target Co</span>
    <div class="fi-bar-track"><div class="fi-bar-fill" style="width:100%;background:#0066cc;"></div></div>
    <span class="fi-bar-value">$180B</span>
  </div>
  <div class="fi-bar-row">
    <span class="fi-bar-label">Peer One</span>
    <div class="fi-bar-track"><div class="fi-bar-fill" style="width:34%;background:#e6550d;"></div></div>
    <span class="fi-bar-value">$61B</span>
  </div>
  <div class="fi-bar-row">
    <span class="fi-bar-label">Peer Two</span>
    <div class="fi-bar-track"><div class="fi-bar-fill" style="width:13%;background:#1a7a4a;"></div></div>
    <span class="fi-bar-value">$23B</span>
  </div>
  <div class="fi-bar-row">
    <span class="fi-bar-label">Peer Three</span>
    <div class="fi-bar-track"><div class="fi-bar-fill" style="width:20%;background:#8b5cf6;"></div></div>
    <span class="fi-bar-value">$36B</span>
  </div>
</div>

Omit bar rows for companies that were not resolved (fewer than 3 peers).

Visual 3 — ESG Score Heatmap (`#pa-esg-heatmap`)

Placed immediately after the ESG table, before #pa-esg-analysis. Emit a colour-coded HTML table (inside div.esg-heatmap) that makes the CIS and sub-scores scannable at a glance.

Colour mapping — apply a CSS class to each score <td> based on numeric severity (lower CIS/sub-score = better):

Score	Class	Meaning
1	`esg-s1`	Green — minimal risk
2	`esg-s2`	Light green — limited risk
3	`esg-s3`	Amber — moderate risk
4	`esg-s4`	Orange — high risk
5	`esg-s5`	Red — very high risk

Parse the numeric suffix from the Moody's score string (e.g. CIS-3 → 3, E-4 → 4). If the score is N/A or missing, omit the colour class (plain white cell).

Reference snippet:

<table>
  <thead>
    <tr>
      <th>Company</th>
      <th>CIS (Overall)</th>
      <th>E Score</th>
      <th>S Score</th>
      <th>G Score</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>Target Co</td>
      <td class="esg-s3">CIS-3</td>
      <td class="esg-s4">E-4</td>
      <td class="esg-s3">S-3</td>
      <td class="esg-s2">G-2</td>
    </tr>
    <!-- one <tr> per company, same order as all other tables -->
  </tbody>
</table>

Updated element ID mapping (addendum)

Element ID / selector	Content
`#pa-rating-cards`	`.rating-card` divs — one per company (target first)
`#pa-fi-charts`	Two `.fi-chart-box` divs inside `.fi-chart-grid` (Revenue, Debt/EBITDA)
`#pa-esg-heatmap`	`.esg-heatmap` table with colour-coded CIS / E / S / G scores

Amendment: Section Layout, Ratings Chart, and ESG Display Overrides

Section 1 — Revised sub-section order

Emit sub-sections in this exact order:

Peers Table (<tbody id="pa-peers-table">) — unchanged, as defined above.
Rating Cards only (#pa-rating-cards) — emit the .rating-card blocks as defined in Visual 1. Do NOT emit the <tbody id="pa-peers-rating"> table at all. The cards are the sole representation of peer ratings in Section 1.
Credit Drivers table — unchanged, as defined above.
Key Indicators table + Financial Comparison Bar Charts (#pa-fi-charts) — unchanged, both emitted as defined above (table first, then the two bar-chart boxes).
Scorecard table — unchanged, as defined above.
Conclusion (#pa-conclusion) — unchanged.

The <table> element whose <tbody> carries id="pa-peers-rating" must be omitted entirely from the emitted HTML. Do not render it, do not hide it with CSS, do not leave an empty wrapper.

Section 2 — Enhanced Ratings Chart

Replace the plain SVG line chart described earlier with the enhanced version below. The output must still be emitted inline inside #pa-ratings-chart.

Design goals: visually polished, readable at a glance, clearly differentiates companies with colour and shape, highlights the most-recent rating prominently.

Layout — SVG viewBox "0 0 780 400":

Left padding (y-axis labels): 80 px
Right padding: 30 px
Top padding: 40 px
Bottom padding (x-axis labels + legend): 60 px
Plot area: 670 × 300 px (x: 80→750, y: 40→340)

Y-axis: draw one horizontal gridline + label per rating tier present in the data set (use the minV→maxV range from the coordinate formulae above, but now label with the Moody's symbol, not a number). Gridlines are stroke="#e5e7eb". Labels are font-size="11", fill="#64748b", text-anchor="end" at x="74".

X-axis: draw the baseline (stroke="#334155", stroke-width="1.5"). Label each point with the actual rating date (formatted MMM YYYY, e.g. Jan 2023) instead of Rating N. Labels font-size="10", fill="#64748b", text-anchor="middle", y="358".

Lines: stroke-width="2.5", rounded joins (stroke-linejoin="round", stroke-linecap="round").

Data points: each rating action is a <circle r="5"> filled with the company colour. The most-recent point (rightmost) for each company is instead a <circle r="7"> with a white inner ring — achieved by stacking a white <circle r="4" fill="white"/> on top of the coloured outer circle. Add a <title> element inside each point group for tooltip text: {company} · {rating symbol} · {date}.

Value labels: above each data point, emit a <text> showing the Moody's rating symbol (font-size="9", fill = company colour, text-anchor="middle", dy="-10"). Suppress the label if it would overlap a neighbour (points within 40 px horizontally from the same series can share a label only at the leftmost occurrence; skip the rest in that cluster).

Colour palette: same as all other charts — target #0066cc, peer 1 #e6550d, peer 2 #1a7a4a, peer 3 #8b5cf6.

Legend: emit below the SVG as a <div class="chart-legend"> row (same pattern as before), but add the actual current rating symbol in parentheses after each company name, e.g. Target Co (Baa2).

Reference snippet (abbreviated — fill in real coordinates from the formulae):

<div class="chart-container">
  <div class="chart-title">Rating History — Last 5 Actions</div>
  <svg viewBox="0 0 780 400" width="100%" preserveAspectRatio="xMidYMid meet">

    <!-- Gridlines + Y-axis labels -->
    <line x1="80" y1="40"  x2="750" y2="40"  stroke="#e5e7eb" stroke-width="1"/>
    <text x="74" y="44"  text-anchor="end" font-size="11" fill="#64748b">Baa1</text>
    <!-- … one per tier … -->

    <!-- X-axis baseline -->
    <line x1="80" y1="340" x2="750" y2="340" stroke="#334155" stroke-width="1.5"/>
    <!-- X-axis date labels -->
    <text x="80"  y="358" text-anchor="middle" font-size="10" fill="#64748b">Jan 2021</text>
    <!-- … -->

    <!-- Target company — line -->
    <path d="M80,192 L247,192 L415,138 L582,138 L750,138"
          fill="none" stroke="#0066cc" stroke-width="2.5"
          stroke-linejoin="round" stroke-linecap="round"/>
    <!-- Rating labels above points -->
    <text x="80"  y="182" text-anchor="middle" font-size="9" fill="#0066cc">Baa2</text>
    <!-- Regular points -->
    <circle cx="80"  cy="192" r="5" fill="#0066cc"/>
    <circle cx="247" cy="192" r="5" fill="#0066cc"/>
    <circle cx="415" cy="138" r="5" fill="#0066cc"/>
    <circle cx="582" cy="138" r="5" fill="#0066cc"/>
    <!-- Most-recent point (highlighted) -->
    <circle cx="750" cy="138" r="7" fill="#0066cc"/>
    <circle cx="750" cy="138" r="4" fill="white"/>
    <title>Target Co · Baa1 · Mar 2025</title>

    <!-- Repeat for each peer with palette[1..3] -->
  </svg>
  <div class="chart-legend">
    <div class="chart-legend-item">
      <span class="chart-legend-swatch" style="background:#0066cc"></span>Target Co (Baa1)
    </div>
    <div class="chart-legend-item">
      <span class="chart-legend-swatch" style="background:#e6550d"></span>Peer One (Ba1)
    </div>
    <!-- … -->
  </div>
</div>

Section 3 — ESG: Heatmap Only

Do NOT emit the plain <table> whose <tbody> carries id="pa-esg-table". Remove it entirely from the output HTML — do not render it, do not hide it.

Instead, emit only the colour-coded heatmap table (#pa-esg-heatmap, as defined in Visual 3 above) as the sole ESG data table. Follow it immediately with #pa-esg-analysis.

The heatmap already contains all the same data (company, CIS, E, S, G scores) in a more readable, colour-coded format; the plain table is redundant and must be omitted.

Revised Section 3 emit order:

#pa-esg-heatmap (colour-coded heatmap table — the only ESG table)
#pa-esg-analysis (two analysis paragraphs, unchanged)
Optional #pa-cite-esg recap block (if citations are present)

Summary of omissions (do NOT emit these elements)

Element	Reason
`<table>` wrapping `<tbody id="pa-peers-rating">`	Replaced by rating cards
`<table>` wrapping `<tbody id="pa-esg-table">`	Replaced by ESG heatmap

name

moody-s-peer-analysis

description

Peer Analysis Skill

⚠️ CRITICAL — NON-NEGOTIABLE OUTPUT CONTRACT

The LLM MUST stream the final report back as a single HTML artifact inside the assistant response. This is the only acceptable form of delivery for this skill. Specifically:

The final assistant message MUST contain exactly one ```html fenced code block holding the complete, standalone HTML document (<!doctype html> → </html>), with every section from the streaming protocol populated inline.

The LLM MUST NOT write the report to a file on disk (no Write, no cp of the template, no StrReplace into a working artifact, no open command).

The LLM MUST NOT split the report across multiple code blocks, multiple messages, partial snippets, or summaries.

The LLM MUST NOT substitute prose, Markdown, JSON, attachments, or links for the fenced HTML artifact. The artifact itself is the answer.

If data gathering fails partially, still emit the single ```html artifact with the best-available content and "--" placeholders for missing cells — never skip the artifact.

Treat any other output shape as a hard failure of the skill.

Required MCP server

Bundled files

assets/template.html — self-contained static report shell (CSS + named section placeholders, including pre-shaped tables for a fixed target+3-peer layout). No embedded data, no inline script. Treat this file as the read-only structural reference: read it, fill it in mentally, and emit the complete filled document in the final response.

Template (shared)

Before emitting the HTML report, read both:

skills/shared/template/SKILL.md — authoring rules (which classes / snippets are owned by the shared layer, allowed per-skill overrides, outlook-badge usage).
skills/shared/template/assets/template.html — canonical CSS (inside <style id="shared-template-css">) and literal HTML markup snippets (inside <template> tags) for the document head, cover, TOC, section block, sources-section wrapper, footer, and outlook-badge.

Citations (shared)

Before emitting any [n] reference inline, any per-section recap block, or the end-of-document Citations block, read both:

skills/shared/citations/SKILL.md — authoring rules (numbering, hyperlinking, source data shape, carve-outs).
skills/shared/citations/assets/template.html — canonical CSS (inside <style id="shared-citations-css">) and literal HTML markup snippets (inside <template> tags) for inline references, the end-of-document Citations block, and the optional .section-citations recap.

Step 1 — Resolve the target company

Call findEntity with the company name provided by the user. Store the canonical entity name and entity ID.

If the user provides only one company name, that is the target company. The peers will be discovered automatically in Step 2.

Step 2 — Discover and resolve peers

Call getEntityPeers for the target company. Select the top 3 peers returned.

You now have a set of up to 4 companies (1 target + up to 3 peers). For each peer, call findEntity to resolve its canonical entity name and ID.

Step 3 — Read the template

Step 4 — Gather all data in parallel

For every company in the set (target + up to 3 peers), fire all of the following in a single parallel batch (one message, many tool calls):

Credit Opinion data (per company)

Section parameter	Purpose
`Profile`	Company description for the Peers Table
`FactorsLeadingToUpgrade`	Upgrade factors for Credit Drivers
`FactorsLeadingToDowngrade`	Downgrade factors for Credit Drivers
`CreditStrengths`	Credit strengths for Credit Drivers
`CreditChallenges`	Credit challenges for Credit Drivers
`KeyIndicatorsTable`	Financial metrics for Key Indicators table
`ScorecardTable`	Scorecard data

Ratings (per company)

Call getEntityRatings — retrieve the current long-term rating, rating class, rating date, outlook, and historical ratings (need at least the last 5 rating actions for the Ratings Chart).

ESG (per company)

Call getEntityEsg — overall CIS classification plus E, S, G sub-scores.

Sector outlook (once per sector)

Call getEntitySectorOutlook for the target company's sector. Reuse for peers in the same sector.

Hold all results in context for Step 5 synthesis.

Step 5 — Synthesize + emit the complete artifact

After data is gathered, produce one final assistant message. The message contains:

A one-line summary sentence (e.g. Peer Analysis for {Target Company}:).
A single fenced ```html code block containing the entire filled template.html document — with every element from the streaming protocol populated in place. No partial documents, no separate code blocks per section.

The code block must:

Start at column 0 with ```html and end with a closing ``` on its own line.
Contain a complete, standalone HTML document (doctype → </html>) that renders without external dependencies.
Preserve the template's <head> (CSS, fonts), section order, table skeletons, row labels, and element IDs exactly. Only the empty targets defined below are populated.

Cover / header fields (write first)

#pa-report-date — e.g. April 20, 2026 (plain text)
#pa-footer-date — same value (plain text)
#pa-target-company — canonical name of the target (plain text)
#pa-peer-count — integer count of peers resolved in Step 2 (plain text)
#pa-company-chips — <span class="company-chip target">Target</span> followed by one <span class="company-chip">Peer</span> per peer (space-separated; target first)
#pa-cover-img-right, #pa-cover-img-bottom — optional. If you have image URLs or data URIs to use, set the src attributes and add the has-cover-image class to the corresponding container (<div class="cover-top has-cover-image"> and/or <div class="cover-bottom has-cover-image">). If you do not have images, leave the template as-is — the empty image strips will collapse automatically and the cover will render as a clean navy block with the accent bar.

Section 1 — Peers Comparison Table & Analysis

1) Peers Table → <tbody id="pa-peers-table">

2) Peers Rating → <tbody id="pa-peers-rating">

Write one <tr> per company. Three columns: company name, rating (formatted as {rating} ({rating class} / {date})), and <span class="outlook-badge …">Outlook</span>. Use class rules below.

3) Credit Drivers — 5 rows × 4 company columns, pre-shaped <table> with per-cell IDs

Write the 4 company header cells first:

#pa-cd-col-1 — target name (plain text)
#pa-cd-col-2, #pa-cd-col-3, #pa-cd-col-4 — peer names in order (leave empty if fewer than 3 peers were resolved)

Then write the 20 body cells (#pa-cd-r{1..5}-c{1..4}). Each cell is a substantive paragraph with specific quantitative thresholds where available. Cells may carry inline citations:

Row 1 (Upgrade factors) — from FactorsLeadingToUpgrade
Row 2 (Downgrade factors) — from FactorsLeadingToDowngrade
Row 3 (Credit strengths (qualitative)) — from CreditStrengths
Row 4 (Credit challenges (qualitative)) — from CreditChallenges
Row 5 (Quantitative support (most recent financials in context)) — from KeyIndicatorsTable; cite the most recent period's key metrics (debt/EBITDA, EBITA margin, EBITA/interest, RCF/net debt, revenue)

If a Credit Opinion section is missing for a company, write Not available in the corresponding cell rather than leaving it blank.

4) Key Indicators — 4 rows × 11 columns, pre-shaped <table>

For each company row r ∈ {1..4} (target = row 1), write the 11 cells:

#pa-ki-r{r}-company — company name
#pa-ki-r{r}-v1 — Period (e.g. 2025 FY)
#pa-ki-r{r}-v2 — Revenue (USD)
#pa-ki-r{r}-v3 — Total Debt (USD)
#pa-ki-r{r}-v4 — EBITA (USD)
#pa-ki-r{r}-v5 — EBITA Margin
#pa-ki-r{r}-v6 — EBITDA (USD)
#pa-ki-r{r}-v7 — Debt/EBITDA
#pa-ki-r{r}-v8 — EBITA/Interest
#pa-ki-r{r}-v9 — Net LT Debt (USD)
#pa-ki-r{r}-v10 — RCF/Net Debt

Source all values from getEntityFinancials. If fewer than 3 peers are resolved, leave the unused row's cells empty.

5) Scorecards — 7 rows × 8 sub-columns (4 companies × Current/Forward), pre-shaped <table>

Write the 4 top-level company headers first:

#pa-sc-col-1 — target name
#pa-sc-col-2, #pa-sc-col-3, #pa-sc-col-4 — peer names

Write the 8 sub-header labels:

#pa-sc-col-{1..4}-curr — current-period label (e.g. Current 2025 FY)
#pa-sc-col-{1..4}-fwd — forward-period label (e.g. Forward)

Then write the 56 body cells (#pa-sc-r{1..7}-c{1..4}-curr and -fwd) for the 7 rows:

Row 1 — Scale: Revenue/Sales (USD bn)
Row 2 — Profitability: EBIT(A) margin
Row 3 — Leverage: Debt/EBITDA
Row 4 — Cash flow: RCF/Net debt
Row 5 — Coverage: EBIT(A)/Interest
Row 6 — Scorecard-indicated outcome
Row 7 — Actual rating

Source from ScorecardTable in the Credit Opinion and getEntityFinancials

6) Conclusion → #pa-conclusion

Three <p> paragraphs focused on differentiation of the target among its peers. Paragraphs may carry inline citations:

Paragraph 1: How the target differentiates positively vs. weaker peers on quantitative metrics (leverage, coverage, cash flow). Cite specific ratios.
Paragraph 2: Business risk profile comparison — where the target is more concentrated or less diversified vs. stable peers. Reference upgrade/downgrade triggers.
Paragraph 3: Practical positioning — frame the target's "path to stand out" by linking back to the upgrade/downgrade framework and key risk factors.

Section 2 — Ratings Chart

Chart → #pa-ratings-chart

Analysis → #pa-ratings-analysis

One <p> paragraph on rating trajectories — which companies show improvement, deterioration, or stability, and what that implies for relative credit positioning. May carry inline citations.

Section 3 — ESG Table & Analysis

ESG Table → <tbody id="pa-esg-table">

Write one <tr> per company. Five columns: company name, Overall (CIS-), Environmental (E-), Social (S-), Governance (G-).

Analysis → #pa-esg-analysis

Two <p> paragraphs. Paragraphs may carry inline citations:

Paragraph 1: Compare ESG profiles across the peer set. Identify which companies share similar profiles and what drives the overall classification.
Paragraph 2: Highlight the key differentiator (typically Governance) and explain which company stands out as weaker/stronger and why.

Citations & sources (write last)

#pa-cite-peers — optional <div class="section-citations">…</div> recap for the peers-comparison section. Use the markup defined in skills/shared/citations/SKILL.md. Omit if empty.
#pa-cite-ratings — optional recap for the ratings-chart section. Same markup.
#pa-cite-esg — optional recap for the ESG section. Same markup.
#pa-sources — end-of-document Citations rows. One <div class="source-item"> per source, in [1], [2], … order, using the canonical row markup from the shared citations skill. Internal MCP tool names are NEVER rendered in .source-meta.

Streaming protocol (element → content mapping)

Element ID	Content type
`#pa-report-date`	Plain text date
`#pa-footer-date`	Plain text date (same value)
`#pa-target-company`	Plain text (canonical target name)
`#pa-peer-count`	Plain text integer
`#pa-company-chips`	`<span class="company-chip target">` + `<span class="company-chip">`s
`#pa-cover-img-right`, `#pa-cover-img-bottom`	`<img>` element — set `src` attribute
`<tbody id="pa-peers-table">`	`<tr>` rows (company name + description) with inline citations
`<tbody id="pa-peers-rating">`	`<tr>` rows with `<span class="outlook-badge …">`
`#pa-cd-col-1` … `#pa-cd-col-4`	Plain text (company names)
`#pa-cd-r{1..5}-c{1..4}`	Prose cell content (short `<p>` or plain text) with inline citations
`#pa-ki-r{1..4}-company`	Plain text (company name)
`#pa-ki-r{1..4}-v{1..10}`	Plain text (period / metric value)
`#pa-sc-col-1` … `#pa-sc-col-4`	Plain text (company names, span 2 sub-columns)
`#pa-sc-col-{1..4}-curr`, `#pa-sc-col-{1..4}-fwd`	Plain text sub-header labels (Current / Forward period)
`#pa-sc-r{1..7}-c{1..4}-curr`, `…-fwd`	Plain text scorecard cell values
`#pa-conclusion`	Three `<p>` paragraphs with inline citations
`#pa-ratings-chart`	Single `<div class="chart-container">…<svg>…</svg>…</div>` block
`#pa-ratings-analysis`	One `<p>` paragraph with inline citations
`<tbody id="pa-esg-table">`	`<tr>` rows (company + overall + E + S + G)
`#pa-esg-analysis`	Two `<p>` paragraphs with inline citations
`#pa-cite-peers`, `#pa-cite-ratings`, `#pa-cite-esg`	`<div class="section-citations">…</div>` (optional, see shared citations skill)
`#pa-sources`	`<div class="source-item">` rows (see shared citations skill)

If fewer than 3 peers are returned, leave unused column/row IDs empty. Do not collapse or remove cells — the pre-shaped table simply keeps those cells blank.

Reference HTML snippets

Peers table row (<tbody id="pa-peers-table">):

<tr>
  <td class="company-name">Target Co</td>
  <td>Headquartered in Dearborn, Michigan, Target Co is a global automaker with TTM revenue of approximately $180B <a href="https://example.com/credit-opinion-target" target="_blank" class="cite-ref">[1]</a>, anchored by its F-Series, SUV, and Pro commercial businesses <a href="https://example.com/profile-target" target="_blank" class="cite-ref">[2]</a>.</td>
</tr>

Peers rating row (<tbody id="pa-peers-rating">):

<tr>
  <td class="company-name">Target Co</td>
  <td>Baa3 (Senior Unsecured - Dom Curr / 2024-05-09)</td>
  <td><span class="outlook-badge stable">Stable</span></td>
</tr>

Company chips (#pa-company-chips):

<span class="company-chip target">Target Co</span>
<span class="company-chip">Peer One</span>
<span class="company-chip">Peer Two</span>
<span class="company-chip">Peer Three</span>

ESG table row (<tbody id="pa-esg-table">):

<tr>
  <td class="company-name">Target Co</td>
  <td>CIS-3</td>
  <td>E-4</td>
  <td>S-3</td>
  <td>G-2</td>
</tr>

Credit Drivers — per-cell write (repeat for each of the 20 body cells):

Leverage sustained below 2.5x Debt/EBITDA, EBITA margin above 7%, and sustained positive free cash flow after dividends <a href="https://example.com/credit-opinion-target" target="_blank" class="cite-ref">[1]</a>.

Conclusion paragraph (inside #pa-conclusion, same inline-citation pattern applies to #pa-ratings-analysis and #pa-esg-analysis):

<p>On pure quantitative credit metrics, Target Co stands out decisively: Debt/EBITDA of 0.7x and EBITA/Interest of 27x are in line with the strongest-scoring peers, while its scale advantage (LTM revenue of $294B vs. $61B and $23B for the peer set) and FCF/Debt of 41% add a differentiation layer the others cannot match <a href="https://example.com/credit-opinion-target" target="_blank" class="cite-ref">[1]</a><a href="https://example.com/peer-ratings" target="_blank" class="cite-ref">[2]</a>.</p>

Key Indicators — single row (emit the full <tr> for each company inside the #pa-key-indicators table, keeping the per-cell id attributes intact):

<tr>
  <td id="pa-ki-r1-company">Target Co</td>
  <td id="pa-ki-r1-v1">LTM (30 Sep 2025)</td>
  <td id="pa-ki-r1-v2">180.2B</td>
  <td id="pa-ki-r1-v3">155.6B</td>
  <td id="pa-ki-r1-v4">7.8B</td>
  <td id="pa-ki-r1-v5">4.33%</td>
  <td id="pa-ki-r1-v6">13.1B</td>
  <td id="pa-ki-r1-v7">11.88x</td>
  <td id="pa-ki-r1-v8">3.62x</td>
  <td id="pa-ki-r1-v9">136.0B</td>
  <td id="pa-ki-r1-v10">18.5%</td>
</tr>

Scorecard — per-cell write (Current or Forward):

2.7x

Ratings Chart SVG template

Emit the entire chart as a single HTML string into #pa-ratings-chart. The agent authors the SVG directly — there is no runtime script.

Hardcoded constants

Dimensions: W = 700, H = 350
Padding: PAD_L = 70, PAD_R = 30, PAD_T = 30, PAD_B = 50
Plot area: width = W - PAD_L - PAD_R = 600, height = H - PAD_T - PAD_B = 270
Number of x-axis points: maxPts = the largest number of ratings any company has, capped at 5
Palette (first = target): #0066cc, #e6550d, #1a7a4a, #8b5cf6, #d63384

Moody's rating → numeric value map

Rating	Value	Rating	Value
Aaa	21	Ba1	11
Aa1	20	Ba2	10
Aa2	19	Ba3	9
Aa3	18	B1	8
A1	17	B2	7
A2	16	B3	6
A3	15	Caa1	5
Baa1	14	Caa2	4
Baa2	13	Caa3	3
Baa3	12	Ca	2
		C	1

RATING_LABELS (index 0..20 → symbol): ["C", "Ca", "Caa3", "Caa2", "Caa1", "B3", "B2", "B1", "Ba3", "Ba2", "Ba1", "Baa3", "Baa2", "Baa1", "A3", "A2", "A1", "Aa3", "Aa2", "Aa1", "Aaa"].

Coordinate formulae

Compute once per chart:

Collect every rating value across all companies' last-5 series → values[].
minV = clamp(min(values) - 1, 1, 21)
maxV = clamp(max(values) + 1, 1, 21) (ensure maxV > minV; if equal, set maxV = minV + 1)

Per point (i, v) where i is the x-index (0-based) and v is the rating value:

xPos(i) = PAD_L + (i / (maxPts - 1)) * 600 = 70 + (i / (maxPts - 1)) * 600
yPos(v) = PAD_T + 270 - ((v - minV) / (maxV - minV)) * 270 = 30 + 270 - ((v - minV) / (maxV - minV)) * 270

Reference SVG block

<div class="chart-container">
  <div class="chart-title">Last 5 Ratings for Target and Peers</div>
  <svg viewBox="0 0 700 350" width="100%" preserveAspectRatio="xMidYMid meet">
    <!-- Horizontal gridlines + y-axis rating labels (one line + label per rating tick from minV to maxV) -->
    <line x1="70" y1="30"  x2="670" y2="30"  stroke="#e5e7eb" stroke-width="1"/>
    <text x="64" y="34" text-anchor="end" font-size="10" fill="#475569">Baa1</text>
    <line x1="70" y1="84"  x2="670" y2="84"  stroke="#e5e7eb" stroke-width="1"/>
    <text x="64" y="88" text-anchor="end" font-size="10" fill="#475569">Baa2</text>
    <line x1="70" y1="138" x2="670" y2="138" stroke="#e5e7eb" stroke-width="1"/>
    <text x="64" y="142" text-anchor="end" font-size="10" fill="#475569">Baa3</text>
    <line x1="70" y1="192" x2="670" y2="192" stroke="#e5e7eb" stroke-width="1"/>
    <text x="64" y="196" text-anchor="end" font-size="10" fill="#475569">Ba1</text>
    <line x1="70" y1="246" x2="670" y2="246" stroke="#e5e7eb" stroke-width="1"/>
    <text x="64" y="250" text-anchor="end" font-size="10" fill="#475569">Ba2</text>
    <line x1="70" y1="300" x2="670" y2="300" stroke="#e5e7eb" stroke-width="1"/>
    <text x="64" y="304" text-anchor="end" font-size="10" fill="#475569">Ba3</text>

    <!-- X-axis baseline + tick labels -->
    <line x1="70" y1="300" x2="670" y2="300" stroke="#334155" stroke-width="1.5"/>
    <text x="70"  y="320" text-anchor="middle" font-size="10" fill="#475569">Rating 1</text>
    <text x="220" y="320" text-anchor="middle" font-size="10" fill="#475569">Rating 2</text>
    <text x="370" y="320" text-anchor="middle" font-size="10" fill="#475569">Rating 3</text>
    <text x="520" y="320" text-anchor="middle" font-size="10" fill="#475569">Rating 4</text>
    <text x="670" y="320" text-anchor="middle" font-size="10" fill="#475569">Rating 5</text>

    <!-- Target company line (palette[0] = #0066cc) -->
    <path d="M70,138 L220,138 L370,192 L520,192 L670,192"
          fill="none" stroke="#0066cc" stroke-width="2.5"/>
    <circle cx="70"  cy="138" r="4" fill="#0066cc"/>
    <circle cx="220" cy="138" r="4" fill="#0066cc"/>
    <circle cx="370" cy="192" r="4" fill="#0066cc"/>
    <circle cx="520" cy="192" r="4" fill="#0066cc"/>
    <circle cx="670" cy="192" r="4" fill="#0066cc"/>

    <!-- Repeat <path>+<circle>s for peers 2, 3, 4 using palette[1..3] -->
  </svg>
  <div class="chart-legend">
    <div class="chart-legend-item"><span class="chart-legend-swatch" style="background:#0066cc"></span>Target Co</div>
    <div class="chart-legend-item"><span class="chart-legend-swatch" style="background:#e6550d"></span>Peer One</div>
    <div class="chart-legend-item"><span class="chart-legend-swatch" style="background:#1a7a4a"></span>Peer Two</div>
    <div class="chart-legend-item"><span class="chart-legend-swatch" style="background:#8b5cf6"></span>Peer Three</div>
  </div>
</div>

Class-selection rules

.outlook-badge modifier (inside peers-rating rows):

stable — outlook is "Stable"
positive — outlook is "Positive"
negative — outlook is "Negative"
review — outlook contains "Review" (e.g., "Rating Under Review")
na — outlook is missing or unknown

.company-chip.target applies only to the target (first) chip. Remaining chips use plain .company-chip.

Conventions

Use <p> for paragraphs, <ul><li> for bullets, <strong class="subsection-title">…</strong> for bold subheaders inside prose containers.
Emit inline citations per skills/shared/citations/SKILL.md. Inline citations are the primary attribution mechanism — the optional per-section blocks (#pa-cite-peers, #pa-cite-ratings, #pa-cite-esg) remain available as supplementary summary boxes.
Do NOT include overall section titles — the template already has those.
rating values: use Moody's rating symbol (e.g. Aaa, Aa1, Baa2, Ba1). If not found, use N/A.
outlook values: Stable, Positive, Negative, Rating Under Review, or N/A.

Step 6 — Tell the user

Tips

Run ALL data-gathering tool calls in a single parallel batch (one message, many tool calls).
Emit the final HTML as one html fenced code block — do not stream partial sections, do not split across multiple messages, do not write to disk.
The target company always appears as the first column / first row in every table and comparison.
The conclusion must orient around the target company — how it differentiates from its peers.
If fewer than 3 peers are returned, leave the unused column/row IDs empty. The pre-shaped tables keep those cells blank — do not attempt to collapse or restructure the table.
If getEntityCreditOpinion does not return a particular section, write Not available in the corresponding cell rather than leaving it blank.
getEntitySectorOutlook typically applies to all companies in the same sector — call once and reuse.
Emit the ratings-chart SVG directly into #pa-ratings-chart — the template no longer builds the chart at render time. Pick the .outlook-badge class yourself using the rules above.
For companies with fewer than 5 historical ratings, either repeat the oldest available rating value to fill the trailing points, or reduce maxPts in the chart formula to the largest available count (and drop the corresponding Rating k x-axis labels).
Inline citations follow the shared citations skill — read skills/shared/citations/SKILL.md before authoring any [n] reference or the Citations block.

Step 7 — Save and deliver the report as a downloadable file

File naming

Use the pattern: {target_company_slug}_peer_analysis.html

Where {target_company_slug} is the target company's canonical name lowercased, spaces and special characters replaced with underscores (e.g. apple_inc_peer_analysis.html).

Delivery

Do not print the HTML source in the chat. Do not emit a fenced ```html code block. The saved file is the sole deliverable.

Amendment: Always use the most recent fiscal year for Key Indicators and Scorecards

Procedure

After calling getEntityFinancials with excludeInterimData: true, inspect the returned columns for each entity and identify the latest year with a non-null Revenue value — that is the most recent fiscal year end for that entity.
Use that year's figures for the Key Indicators table and the "Current" column of the Scorecard, regardless of what year the credit opinion's exhibit uses.
If different entities have different most-recent years (e.g. one entity has 2025 data while another only has 2024), use each entity's own most recent year independently and label the #pa-ki-r{n}-v1 cell accordingly (e.g. 2025 FY vs 2024 FY).

Handling distorted EBITDA years

If the most recent fiscal year contains a non-cash charge (e.g. goodwill impairment) that makes reported EBITDA or Debt/EBITDA not meaningful on a reported basis:

Still use that year as the period reference.
Populate EBITDA and ratio cells with the reported figure plus a † marker (e.g. -$1.6B†, N/M†).
Add a footnote below the Key Indicators table explaining the distortion and citing the Moody's-adjusted figure where available from the credit opinion.
Use the Moody's-adjusted ratio (from the credit opinion's Key Indicators table) for the Scorecard leverage cell rather than the distorted reported figure.

Amendment: Visual Enhancements

Visual 1 — Rating Summary Cards (`#pa-rating-cards`)

What to populate:

.rc-company — abbreviated company name (≤ 25 chars; truncate with "…" if longer)
.rc-rating — Moody's rating symbol (e.g. Baa2)
.rc-class — rating class + date (e.g. Senior Unsecured / 2024-05-09)
.outlook-badge — outlook badge using the canonical pastel classes (stable, positive, negative, review, na)

Reference snippet (emit one block like this per company inside #pa-rating-cards):

<div class="rating-card target-card">
  <div class="rc-company">Target Co</div>
  <div class="rc-rating">Baa2</div>
  <div class="rc-class">Senior Unsecured / 2024-05-09</div>
  <span class="outlook-badge stable">Stable</span>
</div>

Visual 2 — Financial Comparison Bar Charts (`#pa-fi-charts`)

Revenue — horizontal bar chart comparing Revenue (USD) for all companies
Debt/EBITDA — horizontal bar chart comparing Debt/EBITDA ratio for all companies

For each chart, the widths are proportional: the company with the largest value gets a fi-bar-fill width of 100%; all others are scaled relative to that maximum.

Values: source from getEntityFinancials (same figures used in Key Indicators). Format Revenue as $XB or $XM; Debt/EBITDA as X.Xx.

If a value is missing or N/A, set fi-bar-fill width to 0% and display N/A in .fi-bar-value.

Reference snippet for one chart box (repeat once for Revenue, once for Debt/EBITDA):

<div class="fi-chart-box">
  <div class="fi-chart-title">Revenue (USD)</div>
  <div class="fi-bar-row">
    <span class="fi-bar-label">Target Co</span>
    <div class="fi-bar-track"><div class="fi-bar-fill" style="width:100%;background:#0066cc;"></div></div>
    <span class="fi-bar-value">$180B</span>
  </div>
  <div class="fi-bar-row">
    <span class="fi-bar-label">Peer One</span>
    <div class="fi-bar-track"><div class="fi-bar-fill" style="width:34%;background:#e6550d;"></div></div>
    <span class="fi-bar-value">$61B</span>
  </div>
  <div class="fi-bar-row">
    <span class="fi-bar-label">Peer Two</span>
    <div class="fi-bar-track"><div class="fi-bar-fill" style="width:13%;background:#1a7a4a;"></div></div>
    <span class="fi-bar-value">$23B</span>
  </div>
  <div class="fi-bar-row">
    <span class="fi-bar-label">Peer Three</span>
    <div class="fi-bar-track"><div class="fi-bar-fill" style="width:20%;background:#8b5cf6;"></div></div>
    <span class="fi-bar-value">$36B</span>
  </div>
</div>

Omit bar rows for companies that were not resolved (fewer than 3 peers).

Visual 3 — ESG Score Heatmap (`#pa-esg-heatmap`)

Placed immediately after the ESG table, before #pa-esg-analysis. Emit a colour-coded HTML table (inside div.esg-heatmap) that makes the CIS and sub-scores scannable at a glance.

Colour mapping — apply a CSS class to each score <td> based on numeric severity (lower CIS/sub-score = better):

Score	Class	Meaning
1	`esg-s1`	Green — minimal risk
2	`esg-s2`	Light green — limited risk
3	`esg-s3`	Amber — moderate risk
4	`esg-s4`	Orange — high risk
5	`esg-s5`	Red — very high risk

Parse the numeric suffix from the Moody's score string (e.g. CIS-3 → 3, E-4 → 4). If the score is N/A or missing, omit the colour class (plain white cell).

Reference snippet:

<table>
  <thead>
    <tr>
      <th>Company</th>
      <th>CIS (Overall)</th>
      <th>E Score</th>
      <th>S Score</th>
      <th>G Score</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>Target Co</td>
      <td class="esg-s3">CIS-3</td>
      <td class="esg-s4">E-4</td>
      <td class="esg-s3">S-3</td>
      <td class="esg-s2">G-2</td>
    </tr>
    <!-- one <tr> per company, same order as all other tables -->
  </tbody>
</table>

Updated element ID mapping (addendum)

Element ID / selector	Content
`#pa-rating-cards`	`.rating-card` divs — one per company (target first)
`#pa-fi-charts`	Two `.fi-chart-box` divs inside `.fi-chart-grid` (Revenue, Debt/EBITDA)
`#pa-esg-heatmap`	`.esg-heatmap` table with colour-coded CIS / E / S / G scores

Amendment: Section Layout, Ratings Chart, and ESG Display Overrides

Section 1 — Revised sub-section order

Emit sub-sections in this exact order:

Peers Table (<tbody id="pa-peers-table">) — unchanged, as defined above.
Rating Cards only (#pa-rating-cards) — emit the .rating-card blocks as defined in Visual 1. Do NOT emit the <tbody id="pa-peers-rating"> table at all. The cards are the sole representation of peer ratings in Section 1.
Credit Drivers table — unchanged, as defined above.
Key Indicators table + Financial Comparison Bar Charts (#pa-fi-charts) — unchanged, both emitted as defined above (table first, then the two bar-chart boxes).
Scorecard table — unchanged, as defined above.
Conclusion (#pa-conclusion) — unchanged.

The <table> element whose <tbody> carries id="pa-peers-rating" must be omitted entirely from the emitted HTML. Do not render it, do not hide it with CSS, do not leave an empty wrapper.

Section 2 — Enhanced Ratings Chart

Replace the plain SVG line chart described earlier with the enhanced version below. The output must still be emitted inline inside #pa-ratings-chart.

Design goals: visually polished, readable at a glance, clearly differentiates companies with colour and shape, highlights the most-recent rating prominently.

Layout — SVG viewBox "0 0 780 400":

Left padding (y-axis labels): 80 px
Right padding: 30 px
Top padding: 40 px
Bottom padding (x-axis labels + legend): 60 px
Plot area: 670 × 300 px (x: 80→750, y: 40→340)

Lines: stroke-width="2.5", rounded joins (stroke-linejoin="round", stroke-linecap="round").

Colour palette: same as all other charts — target #0066cc, peer 1 #e6550d, peer 2 #1a7a4a, peer 3 #8b5cf6.

Reference snippet (abbreviated — fill in real coordinates from the formulae):

<div class="chart-container">
  <div class="chart-title">Rating History — Last 5 Actions</div>
  <svg viewBox="0 0 780 400" width="100%" preserveAspectRatio="xMidYMid meet">

    <!-- Gridlines + Y-axis labels -->
    <line x1="80" y1="40"  x2="750" y2="40"  stroke="#e5e7eb" stroke-width="1"/>
    <text x="74" y="44"  text-anchor="end" font-size="11" fill="#64748b">Baa1</text>
    <!-- … one per tier … -->

    <!-- X-axis baseline -->
    <line x1="80" y1="340" x2="750" y2="340" stroke="#334155" stroke-width="1.5"/>
    <!-- X-axis date labels -->
    <text x="80"  y="358" text-anchor="middle" font-size="10" fill="#64748b">Jan 2021</text>
    <!-- … -->

    <!-- Target company — line -->
    <path d="M80,192 L247,192 L415,138 L582,138 L750,138"
          fill="none" stroke="#0066cc" stroke-width="2.5"
          stroke-linejoin="round" stroke-linecap="round"/>
    <!-- Rating labels above points -->
    <text x="80"  y="182" text-anchor="middle" font-size="9" fill="#0066cc">Baa2</text>
    <!-- Regular points -->
    <circle cx="80"  cy="192" r="5" fill="#0066cc"/>
    <circle cx="247" cy="192" r="5" fill="#0066cc"/>
    <circle cx="415" cy="138" r="5" fill="#0066cc"/>
    <circle cx="582" cy="138" r="5" fill="#0066cc"/>
    <!-- Most-recent point (highlighted) -->
    <circle cx="750" cy="138" r="7" fill="#0066cc"/>
    <circle cx="750" cy="138" r="4" fill="white"/>
    <title>Target Co · Baa1 · Mar 2025</title>

    <!-- Repeat for each peer with palette[1..3] -->
  </svg>
  <div class="chart-legend">
    <div class="chart-legend-item">
      <span class="chart-legend-swatch" style="background:#0066cc"></span>Target Co (Baa1)
    </div>
    <div class="chart-legend-item">
      <span class="chart-legend-swatch" style="background:#e6550d"></span>Peer One (Ba1)
    </div>
    <!-- … -->
  </div>
</div>

Section 3 — ESG: Heatmap Only

Do NOT emit the plain <table> whose <tbody> carries id="pa-esg-table". Remove it entirely from the output HTML — do not render it, do not hide it.

Instead, emit only the colour-coded heatmap table (#pa-esg-heatmap, as defined in Visual 3 above) as the sole ESG data table. Follow it immediately with #pa-esg-analysis.

The heatmap already contains all the same data (company, CIS, E, S, G scores) in a more readable, colour-coded format; the plain table is redundant and must be omitted.

Revised Section 3 emit order:

#pa-esg-heatmap (colour-coded heatmap table — the only ESG table)
#pa-esg-analysis (two analysis paragraphs, unchanged)
Optional #pa-cite-esg recap block (if citations are present)

Summary of omissions (do NOT emit these elements)

Element	Reason
`<table>` wrapping `<tbody id="pa-peers-rating">`	Replaced by rating cards
`<table>` wrapping `<tbody id="pa-esg-table">`	Replaced by ESG heatmap

moody-s-peer-analysis

More from this repository

Peer Analysis Skill

⚠️ CRITICAL — NON-NEGOTIABLE OUTPUT CONTRACT

Required MCP server

Bundled files

Template (shared)

Citations (shared)

Step 1 — Resolve the target company

Step 2 — Discover and resolve peers

Step 3 — Read the template

Step 4 — Gather all data in parallel

Credit Opinion data (per company)

Ratings (per company)

ESG (per company)

Sector outlook (once per sector)

Step 5 — Synthesize + emit the complete artifact

Cover / header fields (write first)

Section 1 — Peers Comparison Table & Analysis

Section 2 — Ratings Chart

Section 3 — ESG Table & Analysis

Citations & sources (write last)

Streaming protocol (element → content mapping)

Reference HTML snippets

Ratings Chart SVG template

Hardcoded constants

Moody's rating → numeric value map

Coordinate formulae

Reference SVG block

Class-selection rules

Conventions

Step 6 — Tell the user

Tips

Step 7 — Save and deliver the report as a downloadable file

File naming

Delivery

Amendment: Always use the most recent fiscal year for Key Indicators and Scorecards

Procedure

Handling distorted EBITDA years

Amendment: Visual Enhancements

Visual 1 — Rating Summary Cards (#pa-rating-cards)

Visual 2 — Financial Comparison Bar Charts (#pa-fi-charts)

Visual 3 — ESG Score Heatmap (#pa-esg-heatmap)

Updated element ID mapping (addendum)

Amendment: Section Layout, Ratings Chart, and ESG Display Overrides

Section 1 — Revised sub-section order

Section 2 — Enhanced Ratings Chart

Section 3 — ESG: Heatmap Only

Summary of omissions (do NOT emit these elements)

Peer Analysis Skill

⚠️ CRITICAL — NON-NEGOTIABLE OUTPUT CONTRACT

Required MCP server

Bundled files

Template (shared)

Citations (shared)

Step 1 — Resolve the target company

Step 2 — Discover and resolve peers

Step 3 — Read the template

Step 4 — Gather all data in parallel

Credit Opinion data (per company)

Ratings (per company)

ESG (per company)

Sector outlook (once per sector)

Step 5 — Synthesize + emit the complete artifact

Cover / header fields (write first)

Section 1 — Peers Comparison Table & Analysis

Section 2 — Ratings Chart

Section 3 — ESG Table & Analysis

Citations & sources (write last)

Streaming protocol (element → content mapping)

Reference HTML snippets

Ratings Chart SVG template

Hardcoded constants

Moody's rating → numeric value map

Coordinate formulae

Reference SVG block

Class-selection rules

Conventions

Step 6 — Tell the user

Tips

Visual 1 — Rating Summary Cards (`#pa-rating-cards`)

Visual 2 — Financial Comparison Bar Charts (`#pa-fi-charts`)

Visual 3 — ESG Score Heatmap (`#pa-esg-heatmap`)

Visual 1 — Rating Summary Cards (`#pa-rating-cards`)

Visual 2 — Financial Comparison Bar Charts (`#pa-fi-charts`)

Visual 3 — ESG Score Heatmap (`#pa-esg-heatmap`)