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/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/skills/smart-ai-memory/attune-ai/attune"><img src="https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/attune.svg" alt="Reviewed on agentmods" width="80" 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 5.5 | $0.00005 | $0.00691 |
| Sonnet 5.5 | $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 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.
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.
- 1mo 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 (11 stars, last pushed yesterday), licensed Apache-2.0. It adds 12 tokens to every session and 1,728 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.
Other skills, from other repositories
ripple
Analyzing pre-change impact across vertical (dependency chains, files) and horizontal (pattern consistency, naming) dimensions. Use to estimate blast radius before a refactor. No code.
sweep
Detecting unnecessary files, unused code, and orphaned files, and proposing safe deletion. Not for removal execution (Builder), repo structure (Grove), or scope cutting (Void).
bolt
Optimizing frontend (re-render, memoization, lazy loading) and backend (N+1, indexing, caching, async) performance, plus continuous auto-tuning loops for GC/threadpool/cache/worker settings.
lens
Comprehending and investigating codebases: structure mapping, feature discovery, data flow tracing for 'does X exist?' or 'how does Y work?'. Includes a conversational ask mode. Does not write code.
scout
Investigating bugs via root cause analysis, reproduction steps, and impact assessment. Investigation-only — finds why bugs occur and where to fix them, no code. Use when a bug needs RCA before a fix.
trail
Investigating git history, analyzing regression root causes, and performing code archaeology. Time-travels through commits to uncover truth. Use for git history investigation.