Borrowing it
Nothing to install: this file belongs to mindroom-ai/mindroom. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mindroom-ai/mindroom/main/.claude/skills/docs-review/SKILL.mdgit clone --depth 1 https://github.com/mindroom-ai/mindroomWrote 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/mindroom-ai/mindroom/docs-review)<a href="https://agentmods.dev/skills/mindroom-ai/mindroom/docs-review"><img src="https://agentmods.dev/badge/skills/mindroom-ai/mindroom/docs-review.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.01024 |
| Opus 5 | $0.00009 | $0.00512 |
| Sonnet 5 | $0.00004 | $0.00205 |
| Haiku 4.5 | $0.00002 | $0.00102 |
Grade A, and why
docs-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review documentation for accuracy, completeness, and consistency. Focus on things that require judgment—automated checks handle the rest.
What's Already Automated
Don't waste time on these—CI and pre-commit hooks handle them:
- README CLI output:
markdown-code-runnerregenerates CLI help blocks viadocs/run_markdown_code_runner.py - Linting/formatting: Handled by pre-commit
What This Review Is For
Focus on things that require judgment:
- Accuracy: Does the documentation match what the code actually does?
- Completeness: Are there undocumented features, options, or behaviors?
- Clarity: Would a new user understand this? Are examples realistic?
- Consistency: Do different docs contradict each other?
- Freshness: Has the code changed in ways the docs don't reflect?
Review Process
1. Check Recent Changes
# What changed recently that might need doc updates?
git log --oneline -20 | grep -iE "feat|fix|add|remove|change|option"
# What code files changed?
git diff --name-only HEAD~20 | grep "\.py$"
Look for new features, changed defaults, renamed options, or removed functionality.
2. Verify Configuration Docs Against Code
Compare docs under docs/configuration/ against the Pydantic models in the src/mindroom/config/ package, whose root model is in src/mindroom/config/main.py.
Do not rely on a fixed list of files; discover what exists in both locations and check they match.
# Find every config class declaration, including indirect Pydantic subclasses
rg -n "^class " src/mindroom/config
# Find all config doc files
ls docs/configuration/
Trace inheritance for every discovered class instead of assuming each Pydantic model directly subclasses BaseModel.
Check:
- All config keys documented, types and defaults match code
- No models exist without corresponding docs (or vice versa)
- Example YAML would actually work
3. Verify Architecture Docs Against Source
# What source files actually exist?
git ls-files "src/mindroom/**/*.py"
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.
- 8d ago First seen · 131 lines · 18 tokens per session scan A e5aded2c8178
docs-review is a skill published in the GitHub repository mindroom-ai/mindroom (263 stars, last pushed today), licensed Apache-2.0. It adds 18 tokens to every session and 1,024 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 2026-08-30.
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