A set of developer workflows for reviewing, debugging, refactoring, committing, and checking code. It also helps create pull requests, which are requests to merge code changes into a shared project.

Use it to review selected code, investigate bugs, reorganize code, stage and commit changes, create pull requests, check code quality, and audit performance.

It groups common coding tasks into clear actions, so you do not need to guide each workflow from scratch.

How Smart-AI-Memory/attune-ai configures Claude Code and Codex

Reuse

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.

Copy the file

curl -O https://raw.githubusercontent.com/Smart-AI-Memory/attune-ai/main/.agents/skills/dev/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/Smart-AI-Memory/attune-ai

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/dev/github.svg)](https://agentmods.dev/skills/smart-ai-memory/attune-ai/dev)

Your own site

<a href="https://agentmods.dev/skills/smart-ai-memory/attune-ai/dev"><img src="https://agentmods.dev/badge/skills/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/smart-ai-memory/attune-ai/dev"><img src="https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/dev.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 13 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 896 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00013	$0.00896
Opus 5.5	$0.00005	$0.00358
Sonnet 5.5	$0.00003	$0.00179
Haiku 4.5	$0.00001	$0.00090

Measured 1mo ago against content hash c9b1bf754729, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

.agents/skills/dev/SKILL.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

dev

Developer tools for daily coding workflows.

Routes

Subcommand	Action
`review`	Code review workflow
`debug`	Debugging session
`refactor`	Refactoring session
`commit`	Stage and commit changes
`pr`	Create a pull request
`quality`	Code quality check
`perf-audit`	Performance audit

Usage

/dev                    # Ask what to do
/dev review             # Code review
/dev commit             # Stage and commit
/dev debug              # Debug session
/dev refactor           # Refactoring
/dev pr                 # Create PR

Fast-Path Detection

When explicit args satisfy scoping, skip questions:

/dev commit --auto → stage all + commit
/dev review ./src/auth → review that path
/dev commit → ask what to stage
/dev → ask what to do

Rule: If input contains BOTH an action AND a target (or --auto flag), proceed to execution. If either is missing, use AskUserQuestion.

Behavior

Plan Detection (all routes)

Before starting scoping questions for any route, check for saved plans from /plan:

Use Glob to check .claude/plans/{route}-*.md for the current route (e.g., refactor-*.md for /dev refactor)
If matching plans exist, use Read to check their Status field (skip completed plans)
If no pending plans match, proceed normally with the scoping flow below
If multiple pending plans match, show a list and let the user choose which one
If a pending/in-progress plan is found, use AskUserQuestion with these options:

"Yes, use this plan": Read the plan file. Update its Status to in-progress. Use the plan's Scope and Approach sections to drive execution. Do NOT re-ask scoping questions.
"No, start fresh": Proceed with the normal AskUserQuestion scoping flow below.

Example prompt:

question: "I found a saved plan:
  {plan-title} ({date}). Pick up where you
  left off?"
header: "Plan"
options:
  - label: "Yes, use this plan"
    description: "Skip scoping — execute based
      on the saved plan"
  - label: "No, start fresh"
    description: "Ignore the plan and scope
      from scratch"

Read the full file on GitHub · 161 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.

1mo ago First seen · 161 lines · 13 tokens per session scan A c9b1bf754729

Subscribe to this mod's changes

dev is a skill published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed today), licensed Apache-2.0. It adds 13 tokens to every session and 896 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 2026-08-31.

Code review Commits Cost Optimization Git and workflow LLM Multi-Agent ai claude developer-tools

guardian

Gatekeeping Git/PR by classifying change essence and recommending granularity, naming, and strategy; the ship recipe also executes PR delivery (create, CI watch, merge, cleanup) with Ask First on merge. Use when PR preparation, commit strategy, or gated PR delivery is needed.

simota/agent-skills · 62 tokens

pr-authoring

Playbook for deployment-aware pull requests — the 11-section format that turns a PR into a reviewable contract; why, decision requested, change map, review order, evidence, verification, risk, rollback. Used for the Define→build handoff and any PR a great-pm-driven project opens.

VandanaAjayDubey111/great-pm · 65 tokens

pr-review

Playbook for reviewing pull requests — verdict format, verification-not-trust, severity-ranked findings with concrete fixes, risk acceptance on the record. The reviewer-side counterpart of pr-authoring.

VandanaAjayDubey111/great-pm · 40 tokens

feature-publish

Commit the feature, write the PR body, publish in the selected mode, and drive the PR.

omnigent-ai/omnigent · 24 tokens

lean-review

CocoLean diff-scoped over-engineering audit — scans uncommitted git diff and applies five classification tags (delete/stdlib/native/yagni/shrink) to identify unnecessary surface area before commit.

Snowflake-Labs/cocoplus · 44 tokens

flag-cleanup

Weekly reusable-session feature-flag cleanup for {{targetrepo}}. Inventories every feature flag, classifies each as fully rolled out, long dead, partial rollout, or active experiment, removes the flag and the dead branch it guards on an isolated branch when the suite is green, and opens a PR — never touching a flag…

kortix-ai/suna · 74 tokens

attune-ai: Skill for Claude Code