attune

attune is a command for coding agents from Smart-AI-Memory/attune-ai. It costs 12 tokens per session (1,632 once invoked), scanned A, original, Apache-2.0.

A command hub for AI-assisted developer workflows, using guided questions to route you to tasks such as planning, security checks, testing, releases, and Git work.

In plain words
What is it for?
Use it to browse or launch workflows for specifications, security audits, test gaps, releases, debugging, commits, pull requests, and refactoring.
Why use it?
It gives you one starting point for different software-development jobs instead of requiring you to remember every command.

Command

Install

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.

agentmods
npx agentmods add commands/smart-ai-memory/attune-ai/attune
Clone the repo
git clone --depth 1 https://github.com/Smart-AI-Memory/attune-ai

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.

agentmods badge for attune

README.md
[![agentmods](https://agentmods.dev/badge/commands/smart-ai-memory/attune-ai/attune.svg)](https://agentmods.dev/commands/smart-ai-memory/attune-ai/attune)
Your own site
<a href="https://agentmods.dev/commands/smart-ai-memory/attune-ai/attune"><img src="https://agentmods.dev/badge/commands/smart-ai-memory/attune-ai/attune.svg" alt="Measured on agentmods" height="20"></a>
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,632 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00012 $0.01632
Opus 5 $0.00006 $0.00816
Sonnet 5 $0.00002 $0.00326
Haiku 4.5 $0.00001 $0.00163

Measured yesterday against content hash 417d29fbea33, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 yesterday.

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.

src/attune/commands/attune.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 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. Type /attune to browse, or jump straight to any command below. Type /help for the full reference.

Quick Reference

Command What it does
/spec Spec-driven development with approval loop
/security Security audit
/smart-test Find test gaps, generate tests
/release Release preparation and publishing
/dev Debug, commit, PR, code review, refactoring
/help Full command reference

All Commands

Developer Tools

Command Description
/dev debug Investigate errors, trace execution
/dev review Quality + security + performance review
/dev commit Stage and commit with conventional messages
/dev pr Push branch, create PR with summary
/dev refactor Analyze structure, suggest improvements
/code-quality Code review + bug prediction
/refactor Refactoring analysis and roadmap
/deep-review <path> Multi-pass security + quality + test gaps

Testing

Command Description
/smart-test Find test gaps, generate tests
/fix-test Auto-diagnose and fix failing tests

Security and Quality

Command Description
/security Scan for eval, path traversal, secrets
/code-quality Code review + bug prediction

Planning and Docs

Command Description
/spec Full spec-driven development lifecycle
/plan feature Break down a feature into tasks
/brainstorm Guided discovery conversation
/doc-gen Generate documentation from source
/remember Store and retrieve persistent memory

Release

Command Description
/release prep Version bump, changelog, pre-flight
/release security Pre-release vulnerability audit
/release health Tests + coverage + lint + bandit
/release publish Build and publish to PyPI

Read the full file on GitHub · 205 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.

  1. yesterday First seen · 205 lines · 12 tokens per session scan A 417d29fbea33

Subscribe to this mod's changes

attune is a command 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 1,632 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 2026-09-03.