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 tomzx/agents --skill review-documentationgit clone --depth 1 https://github.com/tomzx/agentsWrote 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/tomzx/agents/review-documentation)<a href="https://agentmods.dev/skills/tomzx/agents/review-documentation"><img src="https://agentmods.dev/badge/skills/tomzx/agents/review-documentation/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/tomzx/agents/review-documentation"><img src="https://agentmods.dev/badge/skills/tomzx/agents/review-documentation.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 | $0.00018 | $0.00806 |
| Opus 5 | $0.00009 | $0.00403 |
| Sonnet 5 | $0.00004 | $0.00161 |
| Haiku 4.5 | $0.00002 | $0.00081 |
Grade A, and why
review-documentation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Documentation
Audits documentation and reports findings across five categories: completeness, accuracy, clarity, usability, and structure.
Prerequisites
- Apply the shared SDLC conventions in
skills/sdlc/references/shared.md. - If no argument is provided, locate the feature directory under
.sdlc/features/whose frontmatterissuefield references$ISSUE_NUMBER. - Documentation provided in context or as a file path to read
- The feature or component being documented (for accuracy checking, if accessible)
Steps
- Read the documentation thoroughly.
- Compare it against the feature or component being documented, if accessible.
- Identify issues in each category below.
- Report findings. Omit categories with no findings.
- Write the findings to
.sdlc/features/N-<slug>/review-documentation.mdwith frontmatterartifact: documentation,verdict(approvedif there are no blocking findings,changes-requestedif the author must address findings,rejectedfor a fundamental flaw), andreviewed_at: <ISO date>, and the findings as the body, perskills/sdlc/references/shared.md. Record any unresolved open questions in the findings body.
Review Checklist
Completeness
- Are all public APIs, configuration options, and interfaces documented?
- Are common use cases covered?
- Are error conditions and failure modes documented?
- Is there a getting-started or onboarding path for new users?
Accuracy
- Are code examples correct and runnable?
- Are parameter types, defaults, and constraints accurately stated?
- Does the described behavior match the actual implementation?
- Are version-specific behaviors called out?
Clarity
- Is the intended audience clear?
- Are concepts explained before they are used?
- Is jargon avoided or defined on first use?
- Are examples concrete and relevant to real use cases?
Usability
- Can a user find what they need without reading end-to-end?
- Are there clear headings and a logical flow?
- Are related sections cross-referenced?
- Is the getting-started path achievable in under 10 minutes?
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.
- 6d ago First seen · 109 lines · 18 tokens per session scan A 3b5c0fd524a8
review-documentation is a skill published in the GitHub repository tomzx/agents (6 stars, last pushed yesterday), licensed MIT. It adds 18 tokens to every session and 806 once invoked, about $0.0001 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 2026-09-03.
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