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Agent skill

Review

by av in av/mi

Review code, a PR, branch, or staged diff. An agent skill from av/mi.

No licenceAuto-check passedDevelopment

Install Review

skills CLI
$ npx skills add av/mi --skill review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install av/mi review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/av/mi.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/review .claude/skills/review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
review
GitHub stars
102
Token cost
~865 tokens
SKILL.md length
384 words
Files
1
Skills in repo
21
Repo updated
First seen
Licence
None found

At a glance

Review code, a PR, branch, or staged diff. An agent skill from av/mi.

  • Works in 6 steps: Get the diff and the intent. git diff… → Size gate. If the diff touches ≤ 3 files… → Partition by concern. Otherwise: split… → …
  • Asked to review
  • Calls git and node
  • Whats wrong with this diff

What it does

Review is an agent skill from av/mi. Review code, a PR, branch, or staged diff. Use when asked to "review", "give feedback", "check this PR", or "what's wrong with this diff".

Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Code review. The repository describes itself as: self-extending sandboxed agentic harness. a loop, two tools and an llm.

When your agent uses it

  • Asked to review
  • Whats wrong with this diff

Example prompts

  • “review”
  • “give feedback”
  • “check this PR”
  • “/review”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Get the diff and the intent. git diff ..HEAD / git diff --staged / whatever the user points at. Read the description first — the change's…
  2. Size gate. If the diff touches ≤ 3 files and ≤ 200 lines, review it in-context yourself and skip delegation. Do NOT spawn subagents for a…
  3. Partition by concern. Otherwise: split the diff by module / subsystem / changed-file cluster / tests-vs-impl — whichever boundary makes…
  4. Spawn one subagent per partition via node "$MI_PATH" -p '' with bg=truthy — the harness returns pid:X log:/tmp/mi-X.log and detaches the…
  5. Summary contract — each subagent writes /tmp/mi-review-.md with
  6. Aggregate. Dedupe overlapping findings across partitions. Group the output by severity or by file (ask the user if unclear). If every…

What it can do on your machine

Read from SKILL.md and the folder at commit 2bf50c9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • node

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Review loads about 865 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 384 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~865

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 384 words (~865 tokens).

“A review without intent is just grep. Always read the commit message / PR body / user-stated purpose before looking at any diff line.”

— opening of SKILL.md by av
name
review

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/review of av/mi.

Open the folder on GitHubat commit 2bf50c9

Compare with similar skills

Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review this skillav/mi102—~865Automated safety check: PassNone
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
Backend Code Reviewlangflow-ai/langflow156k—~3.5kAutomated safety check: NotesMIT
Understand Diff AnalysisEgonex-AI/Understand-Anything86k1 repos~1.4kAutomated safety check: PassMIT
Mole Bug Patternstw93/Mole70k—~2kAutomated safety check: PassGPL-3.0

Similar skills

  • PR Babysitter

    openinterpreter/openinterpreter

    Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.

    69k GitHub starsUsed in 3 repos~4.2k tokens
    DevelopmentAuto-check passed

  • Code Review Checklist

    shareAI-lab/learn-claude-code

    Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.

    78k GitHub starsUsed in 5 repos~1.1k tokens
    DevelopmentAuto-check passed

  • Backend Code Review

    langflow-ai/langflow

    Review backend code for quality, security, maintainability, and best practices based on established checklist rules.

    156k GitHub stars~3.5k tokensUpdated today
    DevelopmentAuto-check: notes

  • Understand Diff Analysis

    Egonex-AI/Understand-Anything

    Reads your git changes or a pull request against a prebuilt knowledge graph of the project to explain what changed, which components are affected and what is risky.

    86k GitHub starsUsed in 1 repo~1.4k tokens
    DevelopmentAuto-check passed

  • Mole Bug Patterns

    tw93/Mole

    A catalog of recurring bug shapes in the Mole Mac cleaner, used to review safety-sensitive diffs for deletion safety, unbounded commands, shell traps and weak tests.

    70k GitHub stars~2k tokensUpdated today
    DevelopmentAuto-check passed

  • Backend Code Review

    langgenius/dify

    Reviews backend code under api/ for concrete, reproducible defects, routes to rule packs for architecture, schema, repositories and SQLAlchemy, and ranks findings from P0 to P3.

    158k GitHub stars~676 tokensUpdated today
    DevelopmentAuto-check passed

More from av/mi

All 21 skills in this repo

  • Agent Integration Testing

    av/mi

    Writes plain-English integration test specs with verifiable steps and expectations, then runs each one through a subagent that reports pass or fail with logs.

    102 GitHub stars~908 tokensUpdated 12 days ago
    Auto-check passed

  • Anneal

    av/mi

    A skill your agent uses when the user wants to systematically fix AI code slop — duplicated logic, over-engineering, silent error swallowing, convention drift, cargo-cult patterns, and other…

    102 GitHub stars~3.8k tokensUpdated 12 days ago
    Auto-check passed

  • Fact Sheet Discovery and Sync

    av/mi

    Scans a codebase to tag every fact as draft, spec or implemented based on what the code actually shows, adding missing facts and fixing or removing wrong ones.

    102 GitHub stars~2.8k tokensUpdated 12 days ago
    Auto-check passed

  • Facts Implementer

    av/mi

    Implements every @spec fact from a project's fact sheet in code, tags each one @implemented once done, and reports exactly what is left if it cannot finish.

    102 GitHub stars~1.3k tokensUpdated 12 days ago
    Auto-check passed

  • Facts Spec Refiner

    av/mi

    Works with you to turn draft behavioral facts into precise, implementable spec facts, resolving vague labels, gaps and contradictions one at a time through discussion.

    102 GitHub stars~1.5k tokensUpdated 12 days ago
    Auto-check passed

  • Ideate

    av/mi

    Timeboxed ideation on a topic using propose-and-critique subagent pairs.

    102 GitHub stars~2.8k tokensUpdated 12 days ago
    Auto-check passed

Categories

Questions about Review

What does Review do?

Review code, a PR, branch, or staged diff. An agent skill from av/mi. Review is an agent skill from av/mi. Review code, a PR, branch, or staged diff.

When should I use Review?

Review fits situations like: asked to review; whats wrong with this diff.

How do I install Review in Claude Code?

Run `npx skills add av/mi --skill review -a claude-code`. Or copy the skill folder (skills/review in av/mi) into .claude/skills/review in your project. Claude Code loads it when a task matches its description.

How do I install Review in Codex?

Run `npx skills add av/mi --skill review -a codex`. Or copy the skill folder (skills/review in av/mi) into .agents/skills/review in your project. Codex loads it when a task matches its description.

Can I use Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add av/mi --skill review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review, .gemini/skills/review, .github/skills/review and .opencode/skills/review in your project.

What does Review need to run?

Going by SKILL.md and its folder, Review needs the command-line tools its instructions call (git and node).

Does Review access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Review use?

No licence was found for Review or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Review use?

About 865 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Review?

Skills that share tags, products or a category with Review: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Backend Code Review (langflow-ai/langflow, 156k stars) and Understand Diff Analysis (Egonex-AI/Understand-Anything, 86k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review?

av (a GitHub user) maintains it in av/mi, which has 102 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on September 26, 2026.

Source: av/mi on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.