context-health-visual

name	context-health-visual
description	Diagnose Claude Code environment health — context budget, description obesity, trigger collisions, hooks, MCP, plugins, CLAUDE.md, memory, and skill-security scan. Use when asked to audit the environment, check context budget, review plugins, or scan installed skills for risky patterns.
argument-hint	[--format html|md] [--lang <code>] [--use-instructions-loaded-hook] [--local (force a local file instead of publishing)]
allowed-tools	Read, Glob, Grep, Agent, AskUserQuestion, Artifact, Skill(artifact-design), Bash(node *), Bash(open *), Bash(rm -rf /tmp/env-health-*)

Environment Health

Diagnose the user's Claude Code environment health. Outputs either an inline markdown report or a self-contained interactive HTML dashboard. Covers 10 diagnostic areas — 6 graded scores against official thresholds (§4 splits into §4a at-rest and §4b post-compact; §9 Skill Security Scan uses security baselines rather than docs-cited thresholds) plus 5 observational areas (raw numbers, no tier).

Instructions

Input Parsing

Parse these arguments:

Flag	Values	Default	Meaning
--format	html | md	html	Output mode. html generates a full interactive dashboard (default — recommended). md produces an inline markdown report for non-browser contexts or chat pasting
--lang	ISO code (en, ko, fr, etc.)	detected	Report language. Falls back to detecting the user message language, then en
--use-instructions-loaded-hook	(flag)	off	Guide the user through temporarily enabling the InstructionsLoaded hook for file-level ground-truth data, then offer to revert it
--local	(flag)	off	Force the local design-system dashboard — capable HTML publishes to an Artifact by default
--artifact	(flag)	retained no-op alias	Already the default on capable HTML — kept so muscle memory / natural-language triggers don't break

Channel is decided by the shared contract, not re-derived here — read ${CLAUDE_PLUGIN_ROOT}/references/design-system/channel-decision.md (SSOT, restates ADR 0009) for the (Format × capable) → channel table, flag semantics, and the optimistic-try-then-regenerate rule. The short version: capable HTML publishes to a claude.ai Artifact by default; --local forces the local dashboard; md and non-capable sessions stay local. Both flags apply to --format html only; --artifact combined with --format md is ignored and the normal markdown path runs. If --local and --artifact are both signalled, --local wins. --local also triggers on natural-language equivalents ("keep it local", "don't publish"); --artifact still triggers on "as an artifact", "publish as a link", "share as a URL" — in whatever language the user writes.

Config precedence. Explicit this-turn signal > config > default. Before falling back to the default, check stored preferences once: node ${CLAUDE_PLUGIN_ROOT}/scripts/config.js get (prints the config as JSON, or {}). A default_format value replaces the html default. For the channel: an absent artifact key means artifact-first (the default), artifact: false is a persistent force-local (the config twin of --local), and artifact: true is explicit artifact-first. Anything the user actually says this turn — a literal flag or a natural-language equivalent — always overrides config; config only fills in when the request is silent on format/channel.

Phase 1 — Data Collection

Ground-truth prompt (always ask, first thing). The whole point of this skill is an accurate context budget, and /context is the only ground truth for startup load — the scan can only estimate it. So before collecting anything, use AskUserQuestion to offer two paths:

• Paste /context output (recommended) — you'll parse the reported always-loaded token counts and use them to correct the estimate.
• Proceed with the estimate — the scan's public-formula estimate, carried with a caveat.

Ask this on every run. There's no flag and no stored preference gating it: the estimate is a fallback, not the default path. Keep the question lean — one question, two options.

• If the user chooses paste: ask them to paste their /context output, parse the always-loaded token counts, and override the estimates in the report. Clear the estimate-caveat when you do.
• If the user skips, doesn't respond, or the session is headless (no interactive AskUserQuestion): proceed with the estimate and keep the caveat. This is the current default behavior.

Determine the context window size. The scan subprocess cannot detect the active session's window from process.env. Derive it from the active model ID:

• Model ID contains [1m] (e.g. claude-opus-4-6[1m]) → 1000000
• Any other model ID → 200000

Pass this as --window-size=<N> so the scan records it and downstream formulas use the correct denominator.

Run the scan:

node ${CLAUDE_PLUGIN_ROOT}/skills/context-health-visual/scripts/env-health-scan.js --window-size=<N>

The script writes a JSON blob to stdout with these sections:

• scan_date, context_window_size, env_and_settings (normalized enable_tool_search per mcp.md's 5-value table, agent_teams_enabled, anthropic_base_url)
• installed_plugins ({plugins, orphan_count, orphans}), disabled_plugins
• installed_skills, installed_commands, local_skills (each entry carries desc_chars, when_to_use_chars, combined_chars, disabled, user_invocable)
• skill_bodies (at-rest 500-line flag + post-compact 5K-token flag)
• hook_inventory (type counts, event collisions, llm_hooks — includes inline hooks from plugin.json's hooks field: schema_issues and schema_issue_counts for hook schema validation)
• skill_security (scanned_count, findings with confidence levels, counts_by_severity, counts_by_category — covers 6 pattern categories: prompt_injection, data_exfil, destructive, hardcoded_credential, obfuscation, safety_override)
• context_metrics (MCP server count + source scopes — includes plugin .mcp.json files AND inline mcpServers from plugin.json)
• plugin_components (bin / monitors / lsp_servers / output_styles / channels per plugin + totals)
• subagent_preloads (agents with skills: frontmatter that preload bodies at start)
• plugin_options (per-plugin option keys only, values omitted — sensitive)
• claude_md (walks cwd → filesystem root + ~/.claude/CLAUDE.md, plus enumerates lazy-loaded nested files below cwd; respects claudeMdExcludes; each entry carries scope, load_mode, compact_resilient)
• rules, memory

Save to /tmp/env-health-<pid>/scan.json.

Optional ground truth refinement:

• The /context paste correction is handled by the always-ask prompt at the top of this phase — not gated by any flag.
• If --use-instructions-loaded-hook is set: walk the user through adding a temporary command-type InstructionsLoaded hook to ~/.claude/settings.json that logs to /tmp/env-health-<pid>/instructions-loaded.log. Instruct them to start a new Claude Code session so the hook fires, then parse the log for exact per-file loading. Offer to revert the hook after reading the log.

Phase 2 — Analysis

Read ${CLAUDE_PLUGIN_ROOT}/skills/context-health-visual/references/health-criteria.md for the full threshold specification. Apply it as follows:

Compute the effective description budget:

effective_budget = env_and_settings.desc_budget_override
                ?? max(8000, floor(context_window_size * 0.01))

Graded areas (§3, §4a, §4b, §7, §8, §9): classify into 🟢 healthy / 🟡 attention / 🔴 critical using the rules in health-criteria.md. Every threshold you apply must cite its docs source. (§9 Skill Security Scan is an exception — graded on security baselines without docs-cited thresholds; see health-criteria.md §9.)

Observational areas (§1 Plugin Inventory, §2 Startup Context Budget aggregate, §5 Trigger Collisions, §6 Hook Complexity, §10 Plugin Components): do NOT assign a tier. Emit raw numbers and info-level notes only. Delegate individual component grading in §2 to the owner area per the status-delegation table.

Trigger collisions (§5): delegate to the trigger-collision-inspector subagent. Build the input inventory by concatenating every installed skill and command description, one per line:

[plugin-name] skill-name: description text

Invoke the subagent via the Agent tool with subagent_type set to trigger-collision-inspector. The subagent returns {total_descriptions_analyzed, collisions: [...]}. Surface the pairs verbatim — DUPLICATE / OVERLAP classification is shown as reported, without aggregating into a tier (the prior 1-2 vs 3+ OVERLAP thresholds had no official basis and were removed in favor of raw observation).

Do NOT implement Jaccard or pairwise comparison in the orchestrator or the scan script. The subagent owns the entire comparison (direct adoption of Waza inspector-context.md:113).

Top lever computation: rank possible actions by raw numeric impact (chars freed, tokens saved) — not by severity — so observational areas can still surface a lever. Examples:

• Adding disable-model-invocation: true to the N skills with the largest combined_chars → frees sum(combined_chars) (% of budget). Prefer skills users invoke manually (/commit, /deploy, /release)
• Trimming entries over 1,536 chars → frees combined_chars - 1536 per entry
• Moving body content of a 5K+ token SKILL.md to references/ → removes it from both at-rest and compact budgets

Pick the single lever with the largest projected savings and promote it to the header + recommendations top card.

Phase 3 — Report Generation

Principle: HTML is the default because a dashboard renders the 10 diagnostic areas as KPI cards, bars, and collision heatmaps that markdown can't match. Only choose md when running in a non-browser context (cowork, headless CI), when the user asks for markdown explicitly, or when pasting into a chat thread is more useful than opening a file.

Mermaid diagrams follow the design system references: semantic-tokens.md (tokens) / diagram-type-selection.md (type mapping) / diagram-density-rules.md (budget) / artifact-gate.md (checklist). Validated by scripts/artifact-gate.js.

Markdown mode (--format md):

Emit an inline markdown report, and save the same content to ${CLAUDE_PLUGIN_DATA}/reports/<scan_date>-context-health-visual.md — the chat text is the delivery, the file is the record that lets report-manager list and refine this report later. Use this structure:

# Environment Health — <scan_date>

**Graded:** N 🟢 / N 🟡 / N 🔴 (6 areas) · **Observational:** Plugin Inventory, Context Budget, Trigger Collisions, Hook Complexity, Plugin Components

**Top lever:** <one sentence>

**Estimated startup load:** ~N tokens (X% of <window> window) — *estimate, run `/context` for ground truth*

## §1 Plugin & Skill Inventory ℹ️
<raw tables, orphan/7-day-grace notes, plugin-option keys>

## §2 Startup Context Budget ℹ️
<component breakdown, delegation references>

## §3 Skill Description Obesity <status>
<numbers, truncated entries, disable-model-invocation candidates, subagent preload totals>

## §4 Skill Body Size <status>
<4a at-rest, 4b post-compact — report separately>

## §5 Trigger Collisions ℹ️
<subagent-returned DUPLICATE/OVERLAP pairs, verbatim, no tier>

## §6 Hook Complexity ℹ️
<type breakdown, event collisions, inline-vs-file sources>

## §7 MCP Overview <status>
<server count, ENABLE_TOOL_SEARCH 5-value table, effective mode, proxy fallback>

## §8 CLAUDE.md & Memory Health <status>
<file list with scope/load_mode/compact_resilient, MEMORY.md capacity, nested lazy-loaded totals>

## §9 Skill Security Scan <status>
<findings list with confidence; safe/likely_safe collapsed; hook schema_issues as info notes>

## §10 Plugin Components ℹ️
<bin / monitors / lsp_servers / output_styles / channels per plugin>

## Recommendations
<grouped by severity, top lever promoted>

Cite sources inline where a threshold fires. Keep it under 200 lines.

HTML channel routing (default = Artifact). For --format html the channel is decided by ${CLAUDE_PLUGIN_ROOT}/references/design-system/channel-decision.md: on a capable account the default is the Artifact channel — go straight to "HTML mode — Artifact channel" below. Write the local design-system + Mermaid dashboard (the section directly under this one) only when --local is in play, or as the non-capable regenerate fallback after a publish attempt fails (see "Publish"). md is unaffected — it stays local either way. --local coexists with the always-ask /context prompt and --use-instructions-loaded-hook: those are ground-truth-data controls, orthogonal to the output channel, so any combination is valid.

HTML mode — local design-system channel (--local / non-capable fallback):

Write the entire HTML file yourself — <!DOCTYPE html> to </html>. A self-contained single file with inline CSS and scripts. No templates, no intermediate JSON, no agent chains.

Output path: ${CLAUDE_PLUGIN_DATA}/reports/<scan_date>-context-health-visual.html

Dashboard structure — the 10 diagnostic areas as sections:

Section	Type	Content
§1 Plugin & Skill Inventory	ℹ️ observational	Tables, orphan notes, plugin-option keys
§2 Startup Context Budget	ℹ️ observational	Component breakdown with delegation references
§3 Skill Description Obesity	graded	Numbers, truncated entries, disable-model-invocation candidates
§4 Skill Body Size	graded	§4a at-rest + §4b post-compact, reported separately
§5 Trigger Collisions	ℹ️ observational	Subagent-returned DUPLICATE/OVERLAP pairs
§6 Hook Complexity	ℹ️ observational	Type breakdown, event collisions, inline-vs-file sources
§7 MCP Overview	graded	Server count, ENABLE_TOOL_SEARCH mode, proxy fallback
§8 CLAUDE.md & Memory Health	graded	File list with scope/load_mode, MEMORY.md capacity
§9 Skill Security Scan	graded	Findings with confidence, safe/likely_safe collapsed
§10 Plugin Components	ℹ️ observational	bin/monitors/lsp_servers/output_styles/channels per plugin

Include a header with: graded tally (N 🟢 / N 🟡 / N 🔴), top lever (one sentence), estimated startup load.

While shaping the dashboard, watch for seven authoring reflexes that pass every mechanical gate and still flatten the output — summary-leak (a KPI label where the actual number/finding belongs), linear dump (sections stacked at equal weight with no proportion), forced diagram (a quadrant or timeline on data a table conveys better), generic label (a panel titled "Section 3" instead of what it diagnoses), uniform density (every status panel the same visual weight), empty decoration (a callout or icon carrying no signal), and accent overuse (more than 1–2 focal points per view). Read ${CLAUDE_PLUGIN_ROOT}/references/design-system/anti-slop-tells.md for the full catalogue. They're named defaults to break, not design rules: layout and which area leads stay yours — the catalogue just flags the habits worth resisting.

Diagrams: Read these reference files for implementation:

• ${CLAUDE_PLUGIN_ROOT}/references/design-system/mermaid-patterns.md — Mermaid syntax, theming, dark mode
• ${CLAUDE_PLUGIN_ROOT}/references/design-system/semantic-tokens.md — Color/font roles, Mermaid themeVariables
• ${CLAUDE_PLUGIN_ROOT}/references/design-system/diagram-type-selection.md — 13-type selection guide
• ${CLAUDE_PLUGIN_ROOT}/references/design-system/diagram-density-rules.md — Complexity budgets

Key diagram rules:

1. Max 9 nodes, 12 arrows per diagram. Over budget → split
2. 1-2 focal accents only
3. No rgba() or color: in Mermaid classDef
4. Always theme: 'base' with themeVariables from semantic-tokens

CSS essentials: Write inline CSS. Must support:

• prefers-color-scheme: dark via CSS custom properties
• Korean font stack (CJK font in font-family)
• KPI cards for graded areas (colored borders: green/yellow/red)
• Mermaid zoom by SVG sizing (mermaid-patterns.md applyZoom()), not transform: scale() — a transform reserves no layout space and the overflow becomes unreachable
• prefers-reduced-motion: reduce
• Status indicators: colored dots via CSS, no emoji

Validation: After writing the HTML, run artifact-gate:

node ${CLAUDE_PLUGIN_ROOT}/scripts/artifact-gate.js <output-path>

If violations found: fix inline, max 2 retries.

Visual self-audit (HTML only)

The gate reads the HTML as text — it never sees the rendered dashboard. A quadrant or timeline can pass the density check and still render as an unreadable tangle; a long skill name or finding can clip at a panel edge; a graded tally that reads fine in source can flatten into a uniform grid of identical cards once styled. After the gate passes, render the dashboard and look at it before delivering:

node ${CLAUDE_PLUGIN_ROOT}/scripts/render-report.js <output-path>

On success it prints a PNG path. Read that PNG (you read images multimodally) and scan it for what the text gate can't judge:

• Density — is any section a uniform wall of KPI cards or a table past its budget, or a diagram too dense to read?
• Hierarchy — does the section you judged load-bearing draw the eye first, or are all 10 sections the same weight? (see uniform density / accent overuse in anti-slop-tells.md)
• Diagram integrity — did a Mermaid quadrant/timeline/status diagram render as raw <pre> text or as crossing/overlapping edges?
• Overflow — does a panel, table, long skill name, or collision pair run past its container or off the page?

Fix what you see and re-render. Cap at 2 audit passes — if something still looks off after the second, ship with a one-line note to the user rather than looping. This catches gross breakage, not pixel-perfection.

If Chrome is absent, render-report.js exits 1 (non-zero). Skip the audit and tell the user it was skipped (e.g. "rendered-image check skipped: Chrome not found — set CHROME_BIN or install Chrome"). The report already passed the gate; the visual pass is an enhancement and never blocks delivery.

Full procedure, limits (fixed-height clipping, downscaling, render cost), and the rationale for not mechanizing this with a measurement script live in ${CLAUDE_PLUGIN_ROOT}/references/design-system/visual-self-audit.md.

Then run open <output-path>.

HTML mode — Artifact channel (default on a capable account)

Same content decisions as the local design-system channel above (10-section dashboard structure, graded/observational split, header tally + top lever, anti-slop-tells) — only the page's shape and delivery mechanism change, because it ships inside Claude Code's official Artifacts feature instead of as a local file.

Before writing anything, load the built-in artifact-design skill (Skill tool, skill name artifact-design). This is a tool contract MUST, not a suggestion — it conditions you for the CSP sandbox this page runs in, and skipping it is how a page ends up broken on publish.

Then write the page as a fragment, not a full document:

• No <!DOCTYPE>, <html>, <head>, or <body> tags — content only, starting from your first real element. The Artifact tool wraps the file in that skeleton at publish time.
• Set a concise <title> directly in the content — it names the artifact in the browser tab. Keep it stable across every republish of the same scan in this session.
• Zero external requests — the Artifact viewer's CSP blocks all of them. No Mermaid CDN <script>, no hotlinked images or fonts. Quadrant/timeline/status diagrams become inline SVG or HTML+CSS layouts instead (follow the artifact-design skill's guidance) — same diagram-type decision from diagram-type-selection.md, different rendering technique. mermaid-patterns.md's CDN setup and classDef rules don't apply here.
• Support both themes: @media (prefers-color-scheme: dark) as the default signal, plus :root[data-theme="dark"] / :root[data-theme="light"] overrides — the artifact viewer's theme toggle stamps data-theme on the root and it must win in both directions.

Watch KPI-card density here in particular — 10 diagnostic sections (6 graded + 4 observational) packed into a narrower fragment than the local dashboard's full-width layout is the likeliest place a card grid wraps awkwardly or a long finding/skill-name string clips. This is exactly what this slice's local-vs-artifact comparison run is for (see the issue's S4 acceptance criteria), not something to assume away here.

Save the fragment to ${CLAUDE_PLUGIN_DATA}/reports/<scan_date>-context-health-visual.artifact.html — a distinct filename from the default channel's <scan_date>-context-health-visual.html, so the two never collide or overwrite each other for the same scan.

Re-running this skill within the same conversation reuses that same path (as long as scan_date is unchanged). Publishing to the same file_path again redeploys to the same URL instead of minting a new one, so keep the <title> and favicon identical across those republishes (the tool reads a changed favicon as a different page). If ${output-path}.artifact.json already exists from an earlier publish this session, read it first and reuse its title/favicon verbatim.

Validation: run the gate in content-only mode instead of the full check:

node ${CLAUDE_PLUGIN_ROOT}/scripts/artifact-gate.js <output-path> --content-only

This checks only missing images, raw markdown leakage, anchor hrefs, image alt, and placeholders — the facts that must survive regardless of who designed the page. Density/classDef/palette checks don't apply: the built-in artifact-design skill owns the design layer on this channel (ADR 0007).

Skip the visual self-audit (render-report.js) entirely on this channel. The rendered picture is the built-in artifact-design skill's responsibility here, not this skill's — there's no local Chrome render loop to run before publishing.

The privacy guard below still applies unchanged — the pre-render strip of raw content fields runs before writing the fragment exactly as it does for the default HTML and markdown channels. Publishing to claude.ai doesn't change what's safe to include; it only changes the CSS/CDN mechanics around it.

Publish, once the gate passes:

1. Publish with the Artifact tool: file_path = the fragment you saved, favicon = one or two emoji fitting a health/diagnostic theme (reused unchanged if a sidecar from this session already set one — see above), description = one sentence naming the scan date and top lever.
2. Record the publish so a later refine (even across sessions, once that lands) can find this URL:

   node ${CLAUDE_PLUGIN_ROOT}/scripts/write-artifact-sidecar.js --report <output-path> --url <artifact-url> --title <title> --favicon <favicon>
   

3. Report the URL to the user with one line — and on this skill in particular never omit it: the scan reads the user's environment, so disclosing that the result now lives on claude.ai is a privacy-relevant fact, not a nicety. Use the canonical publish notice (noun = dashboard): Published to claude.ai — design is delegated to Claude's built-in Artifact renderer, so it differs from the local dashboard's look; run --local for the local design-system + Mermaid version. This one line does double duty — it discloses the publish (the deliverable is now a URL, not a local file) and the design delegation. Phrase it in whatever language you're already replying in; the structure (published · delegated-design · --local escape hatch) is what's canonical, not the exact English words. (The report body still emits counts/paths only — the privacy guard below is unchanged; this notice is about disclosing the publish itself.)

Fallback — non-capable session (regenerate, don't just open). If the Artifact tool is unavailable or the publish call fails, the session is non-capable. Don't guess at the specific cause and don't ask before falling back. The fragment you authored is a Mermaid-less, skeleton-less page meant for the Artifact viewer — do not open it (that serves a broken, diagram-free page and breaks ADR 0009 §3's promise of design-system + Mermaid on a non-capable session). Instead regenerate the full local design-system + Mermaid dashboard ("HTML mode — local design-system channel" above), run its full gate + visual self-audit (the all-channels privacy guard applies as always), save to the <scan_date>-context-health-visual.html path, open it, and state the fallback in one line (e.g. "Artifact publish unavailable — generated the local design-system dashboard instead."). Cost = one regeneration, only on a non-capable session.

Privacy guard (all channels): strip any raw file content before rendering. The report emits counts, sizes, line numbers, and file paths — never CLAUDE.md body text, MEMORY.md body text, API keys, or arbitrary file contents. Enforce this as a pre-render pass: walk the sections-data.json tree and remove any field named body, content, raw, text (excluding purposefully-set text fields in info_notes and recommendation action strings, which contain only computed messages).

Cleanup

Remove the temp directory:

rm -rf /tmp/env-health-<pid>

If the user enabled the InstructionsLoaded hook, remind them to revert it now.

Gotchas

• Skill description budget is 1% of context window, not 2%. Earlier drafts used 2% / 16K chars. The official number (skills.md — "Skill descriptions are cut short") is 1% scaling, 8,000-char fallback. Use the effective budget formula: SLASH_COMMAND_TOOL_CHAR_BUDGET ?? max(8000, floor(context_window * 0.01)).
• Skill description loading is a 3-layer model, not a single number. Per skills.md: (A) each entry's combined description + when_to_use is truncated at 1,536 characters — hard per-entry cap. (B) Total across all listing-included entries is capped at effective_budget = SLASH_COMMAND_TOOL_CHAR_BUDGET ?? max(8000, floor(window × 0.01)). When the total exceeds budget, every entry is dynamically shortened (keywords stripped). (C) Even below saturation, a few oversize entries can dominate. Earlier drafts cited "250 chars" — that number does not appear anywhere in the docs. §3 of the report evaluates all three axes separately. disable-model-invocation: true removes a skill from the listing entirely per the frontmatter table, so it contributes zero to the budget.
• 5K/25K skill body limit is POST-COMPACT, not at-rest. The 5,000-tokens-per-skill / 25,000-total limit applies only to re-injection after /compact, and only for skills that were invoked in the session. The at-rest recommendation is separate: keep SKILL.md under 500 lines (skills.md tip). Report them as two distinct sections (§4a and §4b) — do not conflate.
• Skill descriptions are NOT re-injected after compact. Only invoked skills survive compaction. The always-loaded description budget vanishes after compact, which changes what "always-loaded cost" means mid-session. Mention this caveat in the report.
• Auto-compaction can enter a thrashing state and halt. Per how-claude-code-works.md: "If a single file or tool output is so large that context refills immediately after each summary, Claude Code stops auto-compacting after a few attempts and shows an error." The scan cannot detect thrashing directly, but it can surface its ingredients — large SKILL.md bodies, many rules without paths:, and large CLAUDE.md chains all amplify the risk. When all three co-occur, flag it in the report and link users to https://code.claude.com/docs/en/troubleshooting#auto-compaction-stops-with-a-thrashing-error.
• Trigger collision uses a subagent, not inline orchestrator logic. The trigger-collision-inspector subagent owns the entire comparison (Waza-style). Do NOT add Jaccard code in the scanner or do the comparison in the main orchestrator — both would bloat main-session context and duplicate the subagent's job. If accuracy becomes a problem, revise the subagent prompt before adding deterministic pre-filter stages (YAGNI).
• Context budget is always-loaded only. Don't count deferred items in the always-loaded budget unless ENABLE_TOOL_SEARCH is auto (with pressure) or false. Report deferred items separately so users see both views.
• /context is ground truth, not the scan's estimate. The scan uses public formulas but Claude Code's actual context accounting can drift per version. The report must say "Estimated — run /context for ground truth". Phase 1 always offers to accept pasted /context output to correct the estimate.
• InstructionsLoaded hook is the file-level ground truth. For users who want exact per-file instruction loading data, recommend temporarily enabling the InstructionsLoaded hook (hooks.md) to log which CLAUDE.md / rules / skills files actually loaded. Offered as --use-instructions-loaded-hook.
• Skill body tokens are estimated (chars/4). Actual tokenization varies. Flag as approximate.
• MEMORY.md path varies by project. The encoded path format can vary. The scan script tries multiple paths — if none match, report "no memory file found" rather than erroring.
• prompt/agent hooks cost tokens per event. Unlike command/http hooks, prompt/agent hook types invoke an LLM call each time they fire. This is a per-event runtime cost, not a startup cost.
• ENABLE_TOOL_SEARCH changes the MCP cost model. The default (deferred) means only tool names in context. auto may load schemas upfront if they fit in 10% of context. false always loads them. The scan reads this env var and adjusts the MCP budget line accordingly.
• claudeMdExcludes and --add-dir CLAUDE.md loading. Respect claudeMdExcludes (exclude matching paths from CLAUDE.md total) and CLAUDE_CODE_ADDITIONAL_DIRECTORIES_CLAUDE_MD=1 (include CLAUDE.md from --add-dir paths). Both affect the always-loaded budget.
• Privacy. The scan reads CLAUDE.md, MEMORY.md, and settings files, but the report must emit counts and sizes only — never file contents, API keys, or memory body text. Enforce as a pre-render guard that strips raw content fields before producing sections-data.json.
• Context window size is not self-detectable from the scan. The node env-health-scan.js subprocess has no way to know the current session's window size (200K vs 1M). Detect it from the active model ID (e.g. claude-opus-4-6[1m] → 1000000) and pass via --window-size=<N>. Without this, percentage-of-window calculations default to 200K and will be wrong on 1M sessions.
• Shell-level env vars only — child process inheritance. The scan reads SLASH_COMMAND_TOOL_CHAR_BUDGET, ENABLE_TOOL_SEARCH, CLAUDE_CODE_ADDITIONAL_DIRECTORIES_CLAUDE_MD, CLAUDE_CODE_DISABLE_AUTO_MEMORY from process.env. These are only visible to the Node subprocess if the user exported them from their shell init. Env vars set only inside a Claude Code session (not exported before CC launched) are invisible. Surface this caveat next to any env-var-derived field.
• CLAUDE.md walk scope: cwd → filesystem root, plus ~/.claude/CLAUDE.md. Per memory.md, Claude Code loads CLAUDE.md from every ancestor directory above cwd plus ~/.claude/CLAUDE.md. The docs do NOT specify a $HOME boundary. The scan walks up to the filesystem root so that projects under /tmp, /var, or other non-home locations still get a complete ancestor chain. Scope is reported as one of project-root / ancestor / ancestor-local / nested / local-root / user.
• Nested CLAUDE.md files are lazy-loaded and NOT re-injected after /compact. Per memory.md, nested CLAUDE.md files (below cwd) load only when files in their subtree are read. Unlike project-root ./CLAUDE.md / ./.claude/CLAUDE.md, they don't survive compaction — only always-loaded project-root files are re-injected. The scan reports load_mode and compact_resilient per file, and keeps nested_lines / nested_bytes / nested_est_tokens separate from always-loaded totals so the report doesn't exaggerate startup load.
• Observational areas never contribute to the tally. §1 and §2 emit raw numbers and info-level notes only. They are counted separately from the graded tally. A report showing 0 critical means zero critical among graded areas — observational areas may still have info-level observations worth surfacing.
• Skill security scan uses heuristic confidence, not binary safe/unsafe. Every finding is kept in the output — nothing is silently discarded. A confidence field adjusts how prominently findings are shown: safe / likely_safe findings are collapsed by default (temp-path cleanup, loopback-only calls, frontmatter metadata lines, and scanner self-references do not warrant loud alerts). Grade is driven only by uncertain / suspicious findings. When multiple heuristics apply to one finding, the most cautious level (lowest confidence) is used.
• Self-exclusion by frontmatter name:, not by path. The scanner skips the skill whose name: frontmatter field equals context-health-visual. Path-based exclusion would break across install locations (cache vs local). Scope is this skill only — other vision-powers skills (plugin-visual, doc-visual, fact-check, etc.) remain in-scope so any legitimate security findings surface.
• Hook schema validation applies only to tool-gated events. PreToolUse and PostToolUse entries are flagged when they lack a matcher field. Other events (SessionStart, UserPromptSubmit, Stop, etc.) don't use matchers — flagging them would be noise. This scope is hard-coded in env-health-scan.js; update the MATCHER_EVENTS set if future docs add more tool-gated event types.

Reference Files

Read these as needed (not upfront):

File	When to read
references/health-criteria.md	Phase 2 — grading thresholds and recommendation templates
agents/trigger-collision-inspector.md	Phase 2 — trigger collision detection subagent spec
scripts/env-health-scan.js	Phase 1 — data collection (execute, don't read)
${CLAUDE_PLUGIN_ROOT}/references/design-system/mermaid-patterns.md	Before writing any Mermaid diagram
${CLAUDE_PLUGIN_ROOT}/references/design-system/semantic-tokens.md	When setting up CSS/Mermaid theme
${CLAUDE_PLUGIN_ROOT}/references/design-system/diagram-type-selection.md	When deciding diagram type
${CLAUDE_PLUGIN_ROOT}/references/design-system/diagram-density-rules.md	When a diagram feels complex
${CLAUDE_PLUGIN_ROOT}/references/design-system/anti-slop-tells.md	While shaping content — to check you're not falling into a behavioral-slop reflex
${CLAUDE_PLUGIN_ROOT}/references/design-system/visual-self-audit.md	After the gate passes — the render-and-look loop (full procedure)