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 agentmods add skills/smart-ai-memory/attune-ai/docsnpx skills add Smart-AI-Memory/attune-ai --skill docsgit clone --depth 1 https://github.com/Smart-AI-Memory/attune-aiWrote 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/smart-ai-memory/attune-ai/docs)<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="Measured on agentmods" 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 | $0.00006 | $0.01514 |
| Opus 5 | $0.00003 | $0.00757 |
| Sonnet 5 | $0.00001 | $0.00303 |
| Haiku 4.5 | $0.00001 | $0.00151 |
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 4d 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 — 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.jsonplugin/.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.
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.
- 4d ago First seen · 245 lines · 6 tokens per session scan A 32052fd38e4a
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. 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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