mindroom: Skill for Claude Code

.claude/skills/docs-review/SKILL.md

docs-review is a skill for Claude Code from mindroom-ai/mindroom. It costs 18 tokens per session (1,024 once invoked), scanned A, original, Apache-2.0.

A review guide for checking whether documentation matches the software it describes, including its options, behavior, examples, and configuration.

In plain words
What is it for?
Use it to review READMEs, configuration guides, CLI documentation, and other project docs after code changes.
Why use it?
It helps find misleading, incomplete, outdated, or contradictory documentation that automated formatting and lint checks cannot judge.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions CLAUDE.md.

This is mindroom-ai/mindroom's own configuration. It tells Claude Code how to work on mindroom itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything mindroom configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/mindroom-ai/mindroom/main/.claude/skills/docs-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/mindroom-ai/mindroom

Made for: Claude Code.

Wrote 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.

agentmods badge for docs-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/mindroom-ai/mindroom/docs-review.svg)](https://agentmods.dev/skills/mindroom-ai/mindroom/docs-review)
Your own site
<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>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,024 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 8d ago against content hash e5aded2c8178, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

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.

.claude/skills/docs-review/SKILL.md · 131 lines

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-runner regenerates CLI help blocks via docs/run_markdown_code_runner.py
  • Linting/formatting: Handled by pre-commit

What This Review Is For

Focus on things that require judgment:

  1. Accuracy: Does the documentation match what the code actually does?
  2. Completeness: Are there undocumented features, options, or behaviors?
  3. Clarity: Would a new user understand this? Are examples realistic?
  4. Consistency: Do different docs contradict each other?
  5. 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"

Read the full file on GitHub · 131 lines

Changes

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.

  1. 8d ago First seen · 131 lines · 18 tokens per session scan A e5aded2c8178

Subscribe to this mod's changes

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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens