render-html

name	render-html
description	Render an ARIS Markdown / JSON artifact (IDEA_REPORT, AUTO_REVIEW, KILL_ARGUMENT, PAPER_PLAN, research-wiki state, etc.) into a single-file HTML view designed for human reading. Use when the user says "渲染 HTML", "出一份 HTML 报告", "render html", "make this readable", "export to html", or wants a polished web-rendered view of a Markdown artifact.
argument-hint	<input.md> [--template academic|dashboard] [--out <path>] [--title ...] [--state <state.json>] [--json <sidecar.json>] [--offline] [--review|--no-review]
allowed-tools	Bash(*), Read, Write, mcp__codex__codex

/render-html: Markdown → single-file HTML for human reading

Markdown is for writers. HTML is for readers. ARIS workflow nodes write Markdown (canonical, audit-trail-friendly, machine-parseable). /render-html turns selected artifacts into a polished single-file HTML view for the human who actually has to read them. The Markdown stays the source of truth.

When to use this skill

Use /render-html for ARIS artifacts that have a real human reader:

Artifact	Why HTML helps	Template
idea-stage/IDEA_REPORT.md	Ranked ideas + pilot signal + scores feel like a decision dashboard, not a flat list	academic
review-stage/AUTO_REVIEW.md (+ REVIEW_STATE.json)	Round-by-round score progression + weakness status; pass --state to embed the JSON	academic
paper/KILL_ARGUMENT.md (+ KILL_ARGUMENT.json)	Per-point attack/defense with <details> Q&A cards + red/yellow/green callouts	academic
research-wiki/SUMMARY.md (or research-wiki/index.md)	Cross-entity cockpit: papers / ideas / experiments / claims at a glance	dashboard
PAPER_PLAN.md (optional)	Claims-evidence matrix renders better as a polished table than raw MD	academic
RESUBMIT_REPORT.{md,json} (optional)	7-state failure-mode ledger	academic or dashboard

Do NOT use for:

• LaTeX paper output — the final reader-facing artifact is PDF, not HTML.
• SKILL.md files — those are internal LLM-facing protocol.
• .aris/traces/* review traces — forensic debug, not human display.
• Every Markdown file in your project — only artifacts that benefit from sticky TOC, callouts, math, or score progressions.

Core invariants

• MD / JSON is canonical, HTML is generated view. Edit the source, then re-render. Do not hand-edit the HTML.
• Cross-model review at the artifact boundary (ARIS invariant). Academic-template HTML — used for the artifacts humans actually read (IDEA_REPORT, AUTO_REVIEW, KILL_ARGUMENT, PAPER_PLAN) — is reviewed by a fresh cross-family Codex thread before being claimed as a finished view. Dashboard-template HTML (cockpit / debug views) skips review by default but accepts --review to force it. See § HTML Review Gate below.
• Drift detection. Every rendered HTML embeds the source path, SHA256, and generation timestamp in <meta> tags AND in the visible page header. If the HTML and source diverge, the meta tells you which version of the source produced it.
• Single-file output. No build system, no separate CSS, no node_modules. Just one .html.
• CDN-friendly default, --offline fallback. MathJax 3 and highlight.js load from cdn.jsdelivr.net by default. Pass --offline to skip both — math will appear as raw $x$, code blocks won't get syntax highlighting, but everything stays readable.
• Pure stdlib helper. render_html.py uses only re, html, hashlib, json, datetime, pathlib, argparse, sys. No pip install required.
• Defense-in-depth XSS sanitization. The helper strips <script>/<style>/<iframe>/<object>/<embed>/<form>/<input>/<button>/<link>/<meta>/<base> tags, all on* event-handler attributes (onclick, onload, …), and rewrites javascript:/vbscript:/data: href/src/action schemes to #blocked-unsafe-url:. ARIS workflow artifacts should not contain these in the first place, but the sanitizer is the safety net in case an LLM hallucinates one. Markdown text content is HTML-escaped separately and never reaches the sanitizer.

Tool Location

Arch C self-contained: the canonical implementation lives at skills/render-html/scripts/render_html.py (this SKILL's own scripts/ subdirectory), together with its templates at skills/render-html/scripts/templates/{academic,dashboard}.html. The helper is new — no legacy tools/ shim exists.

Resolve $RENDER_HTML with the hybrid chain (Layer 0 prefers the self-contained location for the owning SKILL; Layers 1-3 are the shared-runtime chain documented in shared-references/integration-contract.md §2, Policy A — skill-local gate):

# Layer 0: self-contained (CC 1.0+ exposes $CLAUDE_SKILL_DIR).
RENDER_HTML=""
if [ -n "${CLAUDE_SKILL_DIR:-}" ] && [ -f "$CLAUDE_SKILL_DIR/scripts/render_html.py" ]; then
  RENDER_HTML="$CLAUDE_SKILL_DIR/scripts/render_html.py"
fi
# Layers 1-3: shared-runtime chain (non-CC hosts + manual installs).
if [ -z "$RENDER_HTML" ]; then
  cd "$(git rev-parse --show-toplevel 2>/dev/null || pwd)" || exit 1
  if [ -z "${ARIS_REPO:-}" ] && [ -f .aris/installed-skills.txt ]; then
      ARIS_REPO=$(awk -F'\t' '$1=="repo_root"{print $2; exit}' .aris/installed-skills.txt 2>/dev/null) || true
  fi
  RENDER_HTML=".aris/skills/render-html/scripts/render_html.py"
  [ -f "$RENDER_HTML" ] || RENDER_HTML="skills/render-html/scripts/render_html.py"
  [ -f "$RENDER_HTML" ] || { [ -n "${ARIS_REPO:-}" ] && RENDER_HTML="$ARIS_REPO/skills/render-html/scripts/render_html.py"; }
  [ -f "$RENDER_HTML" ] || RENDER_HTML=""
fi
[ -z "$RENDER_HTML" ] && {
  echo "ERROR: render_html.py not resolved (layer 0: \$CLAUDE_SKILL_DIR/scripts/; layers 1-3: .aris/skills/render-html/scripts/, skills/render-html/scripts/, \$ARIS_REPO/skills/render-html/scripts/)." >&2
    >&2
   1
}

Invocation

# Default: academic template, output to <input>.html alongside source
python3 "$RENDER_HTML" idea-stage/IDEA_REPORT.md

# Dashboard template for cockpit-style views
python3 "$RENDER_HTML" research-wiki/SUMMARY.md --template dashboard

# Custom output path + title + eyebrow
python3 "$RENDER_HTML" review-stage/AUTO_REVIEW.md \
  --out review-stage/AUTO_REVIEW.html \
  --title "Auto Review — overnight run" \
  --eyebrow "Workflow 2"

# Embed sidecar state JSON (rendered as a folded <details> JSON block at end)
python3 "$RENDER_HTML" review-stage/AUTO_REVIEW.md \
  --state review-stage/REVIEW_STATE.json

# Embed sidecar JSON (e.g., for KILL_ARGUMENT.md + KILL_ARGUMENT.json)
python3 "$RENDER_HTML" paper/KILL_ARGUMENT.md \
  --json paper/KILL_ARGUMENT.json \
  --title "Kill Argument — adversarial review"

# Offline (no CDN; math + code render as plain text)
python3 "$RENDER_HTML" idea-stage/IDEA_REPORT.md --offline

# JSON-only input (wrapped in a <pre><code class="language-json"> block)
python3 "$RENDER_HTML" review-stage/REVIEW_STATE.json --template dashboard

# Language attr (default zh-CN; set for English-primary artifacts)
python3 "$RENDER_HTML" docs/SKILLS_CATALOG.md --lang en

# Skip review (academic template otherwise reviews by default)
python3 "$RENDER_HTML" idea-stage/IDEA_REPORT.md
# … then the skill skips the mcp__codex__codex review step if --no-review
# was on the command line. Pass --review to a dashboard render to force it.

The --review / --no-review flags are parsed by the SKILL orchestrator (Claude Code), not by render_html.py. The helper itself stays pure stdlib and never calls MCP. See § HTML Review Gate below for the exact resolution and prompt.

Workflow

Step 1: Identify the artifact

From $ARGUMENTS, determine what to render. Common patterns:

• "render IDEA_REPORT" → idea-stage/IDEA_REPORT.md, academic template
• "make AUTO_REVIEW readable" → review-stage/AUTO_REVIEW.md + --state review-stage/REVIEW_STATE.json
• "show the kill argument as HTML" → paper/KILL_ARGUMENT.md + --json paper/KILL_ARGUMENT.json
• "research-wiki dashboard" → look for research-wiki/SUMMARY.md or generate from raw entity counts (Phase 2 work; for Phase 1 just render SUMMARY.md if present, else fall back to listing top-level wiki structure)

Step 2: Pick template

• academic (default): linear long-form. Sticky TOC sidebar + serif body + callouts + tables + math + Q&A <details>. Use for IDEA_REPORT, AUTO_REVIEW, KILL_ARGUMENT, PAPER_PLAN.
• dashboard: grid layout, smaller font, denser metrics cards, no TOC sidebar. Use for research-wiki cockpit, RESUBMIT_REPORT, multi-project overviews.

Step 3: Run the helper

Use the resolver above to get $RENDER_HTML, then invoke. The script writes the HTML alongside the source by default (or wherever --out says) and prints a one-line confirmation including the source SHA256 prefix.

Step 4: HTML Review Gate (cross-model)

Decide whether to run review. Per ARIS invariant "executor must not judge its own output", the academic-template HTML is reviewed by a fresh cross-family Codex thread before being claimed as a delivered view. Resolution:

should_review = explicit --review present
             or (template == "academic" and --no-review NOT present)

So:

• --template academic (default) → review by default. Skip with --no-review.
• --template dashboard → no review by default. Force with --review.
• Phase 2 workflow auto-emit (activated 2026-05) selects per-skill via the RENDER_HTML hooks documented below — interim views default to --no-review, final / audit-class deliverables default to full gate.

If should_review is true, fire a fresh mcp__codex__codex thread (NEVER codex-reply; pin model: gpt-5.6-sol + config: {"model_reasoning_effort": "xhigh"} per ../shared-references/reviewer-routing.md) with the prompt below. The reviewer reads the source MD + generated HTML directly; it does not see this skill's intermediate state.

Scope of review (narrow on purpose). The HTML reviewer audits render fidelity / safety / structure only — not claim truthfulness. Claim audit belongs upstream (/paper-claim-audit, /research-review, /result-to-claim). Specifically the reviewer checks:

1. Information fidelity — every section, claim, table, code block, list, math snippet, sidecar payload is present in the HTML (no silent drop)
2. Structural integrity — heading hierarchy / nested lists / table cells / code fences / <details> blocks / math delimiters survive parsing
3. Callout routing — > 🚨 … got .callout-bad, > 💡 … got .callout-info, etc.
4. Safety / escaping — no raw <script> / onclick= / javascript: / unreplaced placeholders / template-leak survives
5. Expected-difference allowance — frontmatter strip, generated header/footer/meta, TOC insert, sanitized unsafe HTML are all expected, not flagged

Codex prompt (mandatory shape). Send this as a fresh thread (mcp__codex__codex, NOT codex-reply):

You are an independent ARIS HTML render auditor. This is a fresh review thread.

Read these files directly:
- Source artifact: <ABS path to source.md or source.json>
- Generated HTML:  <ABS path to out.html>
- Optional sidecars: <state.json>, <kill_argument.json> (if any)

Task: Audit whether the generated HTML is a faithful, safe, structurally
usable view of the source artifact. Do NOT judge whether the research
claims are true. Judge only rendering fidelity.

Checks:
1. Information fidelity — sections / claims / tables / code blocks /
   lists / math / sidecars not silently dropped or materially altered.
2. Structural integrity — heading hierarchy, tables, nested lists,
   code fences, details/summary, math delimiters preserved.
3. Callout routing — warning/critical/good/info blockquotes map to
   appropriate CSS classes when present.
4. Safety/escaping — no unexpected raw script/style/iframe/form/
   event-handler/javascript/data URL survives from source.
5. Placeholder/template leakage — no unreplaced {{PLACEHOLDER}} or
   parser private placeholder character appears.
6. Expected differences — frontmatter strip, generated header/footer/
   meta, TOC insertion, sanitized unsafe HTML are EXPECTED and not a
   defect.

Return STRICT JSON first, then a short prose note:

{
  "verdict": "PASS|WARN|FAIL|ERROR",
  "checks": {
    "source_hash_match": "pass|warn|fail|unknown",
    "information_fidelity": "pass|warn|fail",
    "structure": "pass|warn|fail",
    "math_code_tables": "pass|warn|fail",
    "callouts": "pass|warn|fail|not_applicable",
    "safety_escaping": "pass|warn|fail",
    "placeholder_leak": "pass|warn|fail"
  },
  "blocking_issues": [
    {"severity": "fail",
     "source_location": "L<n>...",
     "html_location": "<selector or near-text>",
     "issue": "...",
     "suggested_fix": "..."}
  ],
  "warnings": [
    {"severity": "warn", "issue": "...", "suggested_fix": "..."}
  ],
  "summary": "one paragraph"
}

Verdict rules:
- PASS: no material fidelity/safety issue.
- WARN: readable output with minor unsupported-Markdown or cosmetic
  degradation only.
- FAIL: missing/altered meaningful content, broken tables/math/code/
  callouts that change interpretation, unsafe executable HTML, source
  hash mismatch, or placeholder leakage.
- ERROR: files could not be read or audit could not complete.

Save outputs:

1. Write the JSON verdict to <out_path>.review.json (sibling to the HTML).
2. Save the raw codex trace to .aris/traces/render-html/<YYYY-MM-DD>_run<NN>/review.{txt,json} per shared-references/review-tracing.md.
3. Print a one-line summary to the user: verdict, N blocking, N warnings, trace: <path>.

If verdict == FAIL: the HTML is NOT a delivered review-passed view. Tell the user the blocking issues, point them at the source (fix MD or template, not the HTML), and re-render. Do not silently overwrite or mark as complete.

If verdict == WARN: deliver the HTML but surface the warning list. User decides whether to fix or accept.

If mcp__codex__codex is not available (e.g., user runs /render-html on a Codex-CLI-only setup where Codex MCP isn't wired): emit verdict: REVIEW_UNAVAILABLE to the sidecar, do not fabricate PASS, and tell the user the HTML was generated but not independently reviewed. The user can manually invoke /research-review on the source MD or re-run with Codex MCP available.

Step 5: (Optional) Verify in browser

open <out.html> on macOS, xdg-open on Linux, start on Windows. Math + code highlighting need internet (CDN); offline mode degrades gracefully to readable text.

What the helper supports

Markdown subset (chosen to match what ARIS workflows actually emit):

• Headings #/##/###/#### with auto-generated IDs for TOC
• Paragraphs, bold **x**, italic *x* / _x_, inline code `x`, strikethrough ~~x~~, links [t](url), images ![a](url)
• Unordered/ordered lists with 2-space nested indentation
• Code blocks with optional language (```python) — gets <pre><code class="language-python"> for highlight.js
• ASCII-art code blocks (heuristic: many box-drawing chars) → <pre class="diagram"> with a distinct cream-yellow background
• Tables with :--- / :---: / ---: alignment
• Blockquotes > ... — emoji-prefix detection routes to callout variants:
  • ⚠️ → .callout-warn (Warning)
  • 💡 / 📝 → .callout-info (Tip / Note)
  • ✅ / 🔒 → .callout-good (OK / Guarantee)
  • ❌ / 🚨 → .callout-bad (Blocked / Critical)
• HTML passthrough for <details>, <summary>, <div>, <figure>, <table>, <section>, etc. (block-level) — used for the existing Round-1/2/3 fix details in KILL_ARGUMENT.md
• LaTeX math: inline $x$ and display $$x$$ pass through verbatim to MathJax

What the helper does NOT support (intentional simplifications):

• Footnotes ([^1])
• Definition lists
• Reference-style links [label][ref]
• Setext-style headings (=== / --- underline form — ARIS doesn't emit these)

Frontmatter (--- ... ---) at the very top of the file is stripped before rendering (SKILL.md frontmatter style); the body that follows is what gets converted.

Two-phase integration plan (Phase 1 was this skill; Phase 2 is workflow hooks, activated 2026-05)

Phase 1 (originally shipped): Opt-in only. Users explicitly called /render-html <artifact.md> after a workflow completes.

Phase 2 (activated 2026-05): Eight key skills now auto-emit HTML at workflow termination, each guarded by a RENDER_HTML = true constant that the user can flip off per skill (or pass — render html: false at invocation).

Cost-tiered review gate (per artifact type):

Skill	Artifact	Review tier	Why
/idea-discovery	idea-stage/IDEA_REPORT.md	--no-review	Interim; source went through novelty + cross-model review already
/auto-review-loop	review-stage/AUTO_REVIEW.md	--no-review	Per-round log; the loop itself is the cross-model review
/research-pipeline	NARRATIVE_REPORT.md	--no-review	Internal Stage 5 handoff to /paper-writing; not reviewer-facing — upstream Stage 4 auto-review-loop already gated the claims
/kill-argument	<paper-dir>/KILL_ARGUMENT.md	full gate	Audit-class artifact; matches skill's own cross-model invariant
/paper-claim-audit	paper/PAPER_CLAIM_AUDIT.md	full gate	Audit-class artifact
/citation-audit	paper/CITATION_AUDIT.md	full gate	Audit-class artifact
/proof-checker	PROOF_AUDIT.md	full gate	Audit-class artifact
/rebuttal	REBUTTAL_DRAFT_rich.md	full gate	Pre-submission deliverable
/paper-writing	(no auto-HTML)	n/a	The final reader artifact is PDF
/research-wiki	research-wiki/index.html dashboard	future	Phase 2.1 — dashboard template work, not in this round

--no-review for interim reports is intentional: the source MD has already been reviewed by the producing skill's own cross-model gate, and the HTML render only converts structure — it doesn't add new claims. Full review at every checkpoint would multiply Codex calls per pipeline by 4-6×.

To disable HTML output for a specific skill: set RENDER_HTML = false in the skill's constants block or pass — render html: false. To globally disable: skip with environment variable ARIS_RENDER_HTML=0 (planned, not yet implemented; flag per skill in the meantime).

Customizing the templates

The two templates live at skills/render-html/scripts/templates/{academic,dashboard}.html. Each is a single self-contained HTML file with inline CSS using {{PLACEHOLDER}} substitution. To customize:

1. Copy one of the templates to a new name, e.g., my_brand.html.
2. Edit the CSS variables in :root { ... } to change colors, the font stack, or layout dimensions.
3. Add the template name to the --template choices in render_html.py argparse.
4. Re-run /render-html <input> --template my_brand.

The default templates are derived from the user's own academic-newspaper tutorial style (Source Serif Pro + Songti SC, 3-color palette, sticky TOC, low-flash). Stay close to that idiom for ARIS artifacts unless you have a specific reason to break the visual language.

External alternatives (for richer surfaces)

For deck / poster / Xiaohongshu card / tweet card / data report style outputs, point users to html-anything (Apache-2.0, 3000⭐ at time of writing). It ships 75 SKILL.md templates across 9 surfaces and detects 8 coding-agent CLIs (including Claude Code, Codex, Copilot). ARIS does not depend on it — /render-html covers ARIS-native artifacts; html-anything is the recommended path for richer publishing surfaces.

Key rules

• Do not auto-render every Markdown file. Only artifacts on the whitelist above. File proliferation is the main anti-pattern.
• Do not hand-edit the generated HTML. Edit the source, then re-render. The embedded SHA256 in the HTML meta tells you if the source has changed since render.
• academic-template HTML is a reviewed artifact by default, not raw output. Cross-model Codex review (fresh thread) gates the academic deliverables — the same way /proof-checker, /paper-claim-audit, /citation-audit, /kill-argument gate their respective products. --no-review is appropriate for interim auto-emits (e.g., idea-stage/IDEA_REPORT.html, per-round review-stage/AUTO_REVIEW.html) where the source MD has already passed an upstream cross-model gate — the HTML render is then a structural conversion, not a new claim audit. For shipped / reviewer-facing / audit-class outputs, keep the full gate.
• The reviewer audits rendering, not research. Claim truthfulness is owned upstream by /paper-claim-audit, /result-to-claim, /research-review. The HTML reviewer asks: "did the renderer faithfully + safely convert this source?" — nothing more.
• CDN dependency is opt-out, not opt-in. Most users have internet; --offline is for air-gapped runs / archival.
• The default style is academic-newspaper, not marketing-flashy. Match the existing ARIS tonal voice. If you want decks/posters/social cards, point users to html-anything.
• Pure stdlib only. Adding a pip install dependency to render_html.py requires an explicit decision — the helper currently has none. MCP calls live in the skill orchestrator, never in the helper script.