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.
curl -O https://raw.githubusercontent.com/Smart-AI-Memory/attune-ai/main/.agents/skills/attune/SKILL.mdgit 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/attune)<a href="https://agentmods.dev/skills/smart-ai-memory/attune-ai/attune"><img src="https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/attune.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 | $0.00012 | $0.01728 |
| Opus 5 | $0.00006 | $0.00864 |
| Sonnet 5 | $0.00002 | $0.00346 |
| Haiku 4.5 | $0.00001 | $0.00173 |
Grade A, and why
attune 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 — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.
attune
Your AI-powered developer workflow assistant with Socratic discovery.
One command. Every workflow.
How It Works
Type /attune and I'll guide you through questions to find the right workflow.
/attune # Start Socratic discovery
/attune "I need to fix a bug" # Natural language
/attune debug # Direct shortcut
Fast-Path Detection
When the user provides sufficient context inline, skip scoping questions and execute directly. This satisfies the Socratic requirement because the user's explicit args provide the scoping context.
Fast-path triggers (execute immediately):
- Specific subcommand + target path:
/attune security-audit ./src - Natural language with clear scope:
/attune "review src/auth" - Explicit
--autoflag:/attune commit --auto
Socratic flow (ask questions first):
/attune(no args)/attune "fix something"(vague)
Rule: If input contains BOTH an action AND a target,
proceed to execution. If either is missing or ambiguous,
use AskUserQuestion.
Workflows by Goal
🔧 Fix or Improve Something
Debugging:
- Investigate errors and exceptions
- Trace execution flow
- Identify root causes
Code Review:
- Quality and pattern analysis
- Security review
- Performance review
Refactoring:
- Improve structure and organization
- Extract functions/classes
- Simplify complex code
✅ Validate My Work
Testing:
- Run test suites
- Generate new tests
Coverage:
- Analyze test coverage
- Identify gaps
- Boost coverage
Security Audit:
- Vulnerability scanning
- Dependency analysis
- Code security review
Performance Audit:
- Identify bottlenecks
- Memory analysis
- Optimization recommendations
🚀 Ship My Changes
Commit:
- Stage and commit changes
- Generate commit messages
- Follow conventional commits
Pull Request:
- Create PR with description
- Review checklist
- Link to issues
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 · 249 lines · 12 tokens per session scan A b49a64464a43
attune is a skill published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed today), licensed Apache-2.0. It adds 12 tokens to every session and 1,728 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 2026-08-31.
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dev-doctor
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config-validator
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aiwg-doctor
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dx-audit
Audits libraries, CLIs, and SDKs using 38 rules for public contracts, package exports, piped output, errors, and configuration. Use when asked to "audit my CLI", "review my SDK", "make this agent-friendly", or diagnose package type resolution. For agentic product trust use ax-audit; for docs use docs-writing.