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/dev)<a href="https://agentmods.dev/commands/smart-ai-memory/attune-ai/dev"><img src="https://agentmods.dev/badge/commands/smart-ai-memory/attune-ai/dev/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/dev"><img src="https://agentmods.dev/badge/commands/smart-ai-memory/attune-ai/dev.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 | $0.00016 | $0.00879 |
| Opus 5.5 | $0.00006 | $0.00352 |
| Sonnet 5.5 | $0.00003 | $0.00176 |
| Haiku 4.5 | $0.00002 | $0.00088 |
Grade A, and why
dev 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dev
Developer tools hub — debug, commit, PR, code review, and refactoring.
Quick Shortcuts
| Shortcut | Action |
|---|---|
/dev debug |
Start interactive debugging session |
/dev review |
Run code review workflow |
/dev review <path> |
Review specific file or directory |
/dev commit |
Stage and commit changes |
/dev pr |
Create a pull request |
/dev refactor |
Analyze and suggest refactoring |
/dev quality |
Run bug prediction analysis |
Natural Language
Describe what you need:
- "debug the authentication error"
- "review my changes"
- "commit with a good message"
- "create a PR for this feature"
- "this function is too complex, refactor it"
CRITICAL: Workflow Execution Instructions
When this command is invoked with arguments, you MUST execute the workflow, not answer ad-hoc.
Context Gathering (ALWAYS DO FIRST)
Before executing any action below, gather current project context:
- Run:
git status --short - Run:
git log --oneline -5 - Run:
git branch --show-current - Run:
git diff --cached --stat
Use this context to inform your actions (e.g., which files changed, current branch, staged changes).
Shortcut Routing (EXECUTE THESE)
| Input | Action |
|---|---|
/dev debug |
Run Debug wizard: gather error details → analyze root cause → decompose fix → preview → confirm |
/dev debug <description> |
Run Debug wizard with the described error |
/dev review |
uv run attune workflow run code-review |
/dev review <path> |
uv run attune workflow run code-review --path <path> |
/dev commit |
Use git to stage and commit with conventional commit format |
/dev pr |
Use gh to create a pull request with summary and test plan |
/dev refactor |
Run Refactor wizard: describe goal → analyze structure → decompose steps → preview → confirm |
/dev refactor <path> |
Run Refactor wizard for the specified file or module |
/dev quality |
uv run attune workflow run bug-predict |
/dev quality <path> |
uv run attune workflow run bug-predict --path <path> |
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 · 98 lines · 16 tokens per session scan A 2e8866a8e707
dev 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 16 tokens to every session and 879 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
yolo-abort
Immediate halt of /yolo Hive session mid-action — partial state saved, in-flight git operations rolled back where possible, audit log finalized with abort flag.
gsd:audit-fix
Autonomous audit-to-fix pipeline — find issues, classify, fix, test, commit.
fix-issues
Diagnose, reproduce, then fix reproducible open GitHub issues in parallel: one clean worktree/issue; symlink build artifacts to avoid rebuilds.
caveman-commit
Generate a terse caveman-style commit message for staged changes.
fix-issue
Fixes GitHub issues using parallel analysis agents for root cause investigation, code exploration, and regression detection. Reads issue context from gh CLI, searches codebase and memory for related patterns, generates a fix with tests, and links the resolution back to the issue via PR. Includes prevention analysis to…
bug-fix
Streamlines bug fixing by creating a GitHub issue first, then a feature branch for implementing and thoroughly testing the solution before merging.