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.
git 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/commands/smart-ai-memory/attune-ai/code-quality)<a href="https://agentmods.dev/commands/smart-ai-memory/attune-ai/code-quality"><img src="https://agentmods.dev/badge/commands/smart-ai-memory/attune-ai/code-quality/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/commands/smart-ai-memory/attune-ai/code-quality"><img src="https://agentmods.dev/badge/commands/smart-ai-memory/attune-ai/code-quality.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 | $0.00020 | $0.00100 |
| Opus 5.5 | $0.00008 | $0.00040 |
| Sonnet 5.5 | $0.00004 | $0.00020 |
| Haiku 4.5 | $0.00002 | $0.00010 |
Grade A, and why
code-quality 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.
What it actually says
Run a code review on $ARGUMENTS.
If no path was provided, ask the user what to review.
Use uv run attune workflow run code-review --path <target>
to execute. Scope with AskUserQuestion first: target path,
focus (security, quality, performance, or all).
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 · 14 lines · 20 tokens per session scan A 9357d3e10ec3
code-quality is a command published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed 5d ago), licensed Apache-2.0. It adds 20 tokens to every session and 100 once invoked, about $0.0001 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 2026-09-03.
Other commands, from other repositories
crystallize
After a session or an incident, turn what happened into reusable knowledge — learn captures this session's lessons, review/approve promotes incident patterns into agent improvements, skill turns a repeating procedure into a skill.
bugfix
TDD-driven bugfix workflow: tester writes failing test (RED) → developer fixes (GREEN) → developer refactors (REFACTOR) → reviewer validates. Accepts issue number, description, or both. Asks before pushing and creating a PR; --no-pr commits locally without asking.
council-sweep
Walk the configured watch paths and run Council on every artifact modified in the last N hours (default 24h).
doctor
Diagnose what is busting Claude Code's DeepSeek prefix cache.
council-review
Run the 5-agent Council on the current file or a specified path. Returns SHIP / REVISE / HOLD plus a revision brief.
distil-doctor
Diagnose your distil setup — ledger, shadow validation, proxy round-trip, wiring.