A documentation assistant for generating, explaining, reviewing, and updating project documentation. It can check written claims against the codebase and create items such as READMEs and changelogs.

Use it to audit documentation, explain code, generate docs, update a README, create a changelog, or produce a project overview.

It helps keep documentation aligned with the code instead of relying on outdated descriptions or manual checks.

How Smart-AI-Memory/attune-ai configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to Smart-AI-Memory/attune-ai. 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/Smart-AI-Memory/attune-ai/main/.agents/skills/docs/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/Smart-AI-Memory/attune-ai

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/docs/github.svg)](https://agentmods.dev/skills/smart-ai-memory/attune-ai/docs)

Your own site

<a href="https://agentmods.dev/skills/smart-ai-memory/attune-ai/docs"><img src="https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/docs/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/smart-ai-memory/attune-ai/docs"><img src="https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 6 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,514 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.

Model	Per session	Once invoked
Fable 5.1	$0.00006	$0.01514
Opus 5.5	$0.00002	$0.00606
Sonnet 5.5	$0.00001	$0.00303
Haiku 4.5	$0.00001	$0.00151

Measured 1mo ago against content hash 32052fd38e4a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

docs 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 1mo 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.

.agents/skills/docs/SKILL.md · 245 lines

How it starts

The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.

docs

Documentation generation, explanation, and accuracy auditing.

Routes

Subcommand	Action
`audit`	Quick inline accuracy checks (10 checks)
`audit-deep`	Full DocAuditWorkflow with auto-fix
`explain`	Explain how code works
`generate`	Generate documentation
`readme`	Update README
`changelog`	Generate changelog
`overview`	High-level project overview

Usage

/docs                   # Ask what to do
/docs audit             # Verify doc accuracy
/docs explain           # Explain code
/docs generate          # Generate documentation
/docs readme            # Update README
/docs changelog         # Generate changelog

Behavior

audit

Cross-reference documentation claims against the actual codebase. Run all checks below and report a summary table with pass/fail per check and file:line references for any mismatches.

1. Test count

Run:

pytest --collect-only -q 2>/dev/null | tail -1

Compare the collected/passing count against:

The static badge in README.md (the number in the img.shields.io/badge/tests- URL)
Any "X+ tests" claims in README body text
Any test counts in CHANGELOG.md (current release only)

Flag if the README count exceeds the actual count by more than 5%.

2. Workflow count

Count entries under [project.entry-points."attune.workflows"] in pyproject.toml. Compare against any "N built-in" claims in README.md. Flag mismatches.

3. Skill count

Count directories in plugin/skills/ (each directory with a SKILL.md is one skill). Compare against:

README.md (any "N skills" claims)
CHANGELOG.md (current release section)
.claude-plugin/marketplace.json
plugin/.claude-plugin/marketplace.json

Flag mismatches.

4. MCP tool count

Count @server.tool() decorators or tool registrations in src/attune/mcp/server.py. Compare against any "N tools" or "N MCP tools" claims in README.md and plugin/README.md. Flag mismatches.

Read the full file on GitHub · 245 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.

1mo ago First seen · 245 lines · 6 tokens per session scan A 32052fd38e4a

Subscribe to this mod's changes

docs is a skill published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed today), licensed Apache-2.0. It adds 6 tokens to every session and 1,514 once invoked, about $0.0000 per session on Opus 5.5. 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.

Cost Optimization Documents LLM Multi-Agent Writing and docs ai claude developer-tools

officecli-commonly-templates

Use this skill when producing a polished, Commonly-branded deliverable (.docx brief / memo, .xlsx data matrix, .pptx deck) and you do not have specific brand guidance from the user. Trigger on: 'write me a brief', 'one-pager', 'memo', 'data sheet', 'status matrix', 'short deck', 'summary deck', 'closing slide', 'final…

Team-Commonly/commonly · 182 tokens

attune-ai: Skill for Claude Code