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 moodboardgit 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/moodboard)<a href="https://agentmods.dev/skills/gabrielamz/web-anatomy/moodboard"><img src="https://agentmods.dev/badge/skills/gabrielamz/web-anatomy/moodboard/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/moodboard"><img src="https://agentmods.dev/badge/skills/gabrielamz/web-anatomy/moodboard.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 | $0.00289 | $0.02416 |
| Opus 5 | $0.00144 | $0.01208 |
| Sonnet 5 | $0.00058 | $0.00483 |
| Haiku 4.5 | $0.00029 | $0.00242 |
Grade A, and why
moodboard 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Moodboard
Assemble a section-by-section visual moodboard for a page. For every section the report shows the current state large, the problems identified beside it, a grid of benchmark screenshots each captioned with the practice it demonstrates, the best practices grouped by discipline, and the recommendation for the brand.
This is the page altitude, visual-first output of Web Anatomy. It generates its own content: it captures the live page section by section (the same on-page reading audit-page does) and pulls benchmarks per section from the MCP (the same retrieval find-examples does), then composes both into one scrollable board.
How moodboard differs from the neighbors
Keep the routing clean. The closest neighbor is benchmark-compare, and they share the same MCP retrieval underneath, so the distinction matters.
benchmark-comparetakes one target (a URL, screenshot, or pasted section) and returns a verdict: a gap analysis where each gap is labeledHIGH,MEDIUM, orLOW. The screenshots are evidence for the gaps. Use it to answer "how far is this from the winners, and what is the biggest gap."moodboardtakes the whole page and returns a reference board: every section in scroll order, the current state large beside the problems, and a grid of benchmark screenshots as the centerpiece. The screenshots are the point. Use it to answer "what should each block look like, as a brief I can hand to design or import into Figma." It does not score gaps.find-examplesis one section's swipe file.research-best-practicesis a narrative report.improve-pageis a grounded rework with copy-paste fixes.
In short: benchmark-compare scores a gap on one target; moodboard composes the page-wide visual reference you build from.
Output Behavior
Always write:
.webanatomy/moodboard/{page}-{YYYY-MM-DD}/report-data.json.webanatomy/moodboard/{page}-{YYYY-MM-DD}/report.html.webanatomy/moodboard/{page}-{YYYY-MM-DD}/report.md.webanatomy/moodboard/{page}-{YYYY-MM-DD}/references/
What ships with it
2 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 · 107 lines · 289 tokens per session scan A 6350cacea2f7
moodboard is a skill published in the GitHub repository GabrielAmz/web-anatomy (8 stars, last pushed 2mo ago), licensed MIT. It adds 289 tokens to every session and 2,416 once invoked, about $0.0014 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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