Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add GabrielAmz/web-anatomy --skill audit-pagegit clone --depth 1 https://github.com/GabrielAmz/web-anatomyWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/gabrielamz/web-anatomy/audit-page)<a href="https://agentmods.dev/skills/gabrielamz/web-anatomy/audit-page"><img src="https://agentmods.dev/badge/skills/gabrielamz/web-anatomy/audit-page/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/gabrielamz/web-anatomy/audit-page"><img src="https://agentmods.dev/badge/skills/gabrielamz/web-anatomy/audit-page.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00182 | $0.04856 |
| Opus 5 | $0.00091 | $0.02428 |
| Sonnet 5 | $0.00036 | $0.00971 |
| Haiku 4.5 | $0.00018 | $0.00486 |
Grade A, and why
audit-page scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 373 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit Page
Diagnose the current state of a page, section by section, and tell the user which sections to revamp first and why. Apply a proven CRO framework as the lens, but organize the audit by SECTION so the output routes straight into the fix.
This is the Audit altitude of Web Anatomy: a whole-page diagnosis that runs standalone, with no benchmark data required. It feeds the grounded rework in write-page.
You do NOT write copy, headlines, or rewrites here, and you do NOT need benchmark data. Output is problem framing and prioritization: where conversion leaks and what to fix first. This is the on-ramp. The grounded next step is where the real edge is, so always end by handing off to it. There are two grounded paths and they answer different questions, so Step 6 asks the user which one they want.
Output Behavior
When file access is available, always write the orchestration handoff:
.webanatomy/audit-page/{page-or-section}-{YYYY-MM-DD}/scorecard.json(your per-item judgments).webanatomy/audit-page/{page-or-section}-{YYYY-MM-DD}/score.json(written by the scorer).webanatomy/audit-page/{page-or-section}-{YYYY-MM-DD}/audit.json.webanatomy/audit-page/{page-or-section}-{YYYY-MM-DD}/report.md
audit.json is the machine handoff that write-page reads so it does not
re-diagnose. The score block is copied verbatim from score.json (Step 3); do
not hand-edit those numbers. Use this exact shape:
{
"schema": "webanatomy.audit-page.v2",
"target": "<url or page name>",
"industry": "<resolved or inferred industry>",
"locale": "en|fr",
"score": {
"overall": 0,
"band": [0, 0],
"coverage": 1,
"evidenceBacked": 1,
"evaluated": 49,
"naCount": 0,
"categoryScores": [
{ "category": "Hero", "score": 0, "passCount": 0, "failCount": 0, "naCount": 0, "failedItemIds": [] }
]
},
"currentSnapshot": [{ "label": "Headline", "text": "..." }],
"strengths": [
{ "section": "trust", "what": "Recognizable customer logos sit above the fold", "why": "fast credibility for a cold visitor; keep it" }
],
"recommendations": [
{
"section": "hero",
"severity": "HIGH",
"kind": "copy",
"opportunity": "Lead the H1 with the outcome, not the product name",
"why": "what it unlocks, tied to the real page",
"failedItemIds": ["hero.outcome_focus"]
}
],
"pageLevel": [
{ "section": "page", "opportunity": "Fix the narrative order (pain then outcome then product)", "why": "..." }
],
"sectorSpecific": [
{ "section": "contact", "opportunity": "Surface the capital-loss risk notice near the form", "why": "regulated finance; judgment, not the rubric" }
],
"startHere": "hero",
"notes": "industry inferred; capture method + confidence"
}
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 373 lines · 182 tokens per session scan A 4bff4eba4cf4
audit-page is a skill published in the GitHub repository GabrielAmz/web-anatomy (8 stars, last pushed 2mo ago), licensed MIT. It adds 182 tokens to every session and 4,856 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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