Agent skill

AI Code Review

by pony-maggie in pony-maggie/code_minions

Structured review of a diff against a ticket's acceptance criteria.

No licenceAuto-check passedProduct & Project Management

Install AI Code Review

skills CLI
$ npx skills add pony-maggie/code_minions --skill ai-code-review -a claude-code

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

GitHub CLI
$ gh skill install pony-maggie/code_minions ai-code-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/pony-maggie/code_minions.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/code_minions/builtin/skills/ai-code-review .claude/skills/ai-code-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
ai-code-review
GitHub stars
156
Token cost
~381 tokens
SKILL.md length
132 words
Files
1
Skills in repo
11
Repo updated
First seen
Licence
None found

At a glance

Structured review of a diff against a ticket's acceptance criteria.

  • Tasks that involve User stories
  • SKILL.md covers Inputs, Instructions and Outputs (reply JSON)
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Code review

What it does

AI Code Review is an agent skill from pony-maggie/code_minions. Structured review of a diff against a ticket's acceptance criteria.

Its SKILL.md is about 380 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 Product & Project Management, covering User stories and Code review.

When your agent uses it

  • Tasks that involve User stories
  • Tasks that involve Code review

Example prompts

  • “/ai-code-review”

Requirements

  • Pre-approved tools (allowed-tools): Read

What it can do on your machine

Read from SKILL.md and the folder at commit ac75593. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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

AI Code Review loads about 381 tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 132 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~21
When it runs · the whole SKILL.md, loaded when a task matches
~381

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 132 words (~381 tokens).

“Review a code diff against the ticket's acceptance criteria and project conventions.”

— opening of SKILL.md by pony-maggie
name
ai-code-review
allowed-tools
Read
role
reviewer
llm.max_iterations
15
llm.temperature
0.1

Read the full SKILL.md on GitHub

Files

Just SKILL.md in src/code_minions/builtin/skills/ai-code-review of pony-maggie/code_minions.

Open the folder on GitHubat commit ac75593

Compare with similar skills

AI Code 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.

AI Code Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
AI Code Review this skillpony-maggie/code_minions156—~381Automated safety check: PassNone
Refactor Design Reportpenwyp/ClaudePreference136—~1.4kAutomated safety check: PassMIT
Code Review Completenesseric-tramel/moraine117—~404Automated safety check: PassApache-2.0
Implement FeatureLog2n-io/Typhon250—~2kAutomated safety check: PassCustom licence
Reviewgenkovich/sdd171—~1.9kAutomated safety check: PassMIT
Code ReviewOpenHands/extensions161—~2.1kAutomated safety check: PassMIT

Similar skills

  • Refactor Design Report

    penwyp/ClaudePreference

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    136 GitHub stars~1.4k tokensUpdated 4 mo ago
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  • Code Review Completeness

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    117 GitHub stars~404 tokensUpdated 5 days ago
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  • Implement Feature

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    250 GitHub stars~2k tokensUpdated yesterday
    DevelopmentAuto-check passed
  • Review

    genkovich/sdd

    A skill your agent uses to run an independent, clean-context code review of an implemented feature against its spec and acceptance criteria before shipping.

    171 GitHub stars~1.9k tokensUpdated 1 mo ago
    DevelopmentAuto-check passed
  • Code Review

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    Review code changes for material correctness, security, compatibility, and maintainability risks, grounded in the current repository and acceptance criteria.

    161 GitHub stars~2.1k tokensUpdated yesterday
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  • Solo Review

    LeoYeAI/openclaw-master-skills

    Final code review and quality gate — run tests, check coverage, audit security, verify acceptance criteria from spec, and generate ship-ready report.

    2.2k GitHub stars~5.6k tokensUpdated 2 mo ago
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Questions about AI Code Review

What does AI Code Review do?

Structured review of a diff against a ticket's acceptance criteria. AI Code Review is an agent skill from pony-maggie/code_minions. Structured review of a diff against a ticket's acceptance criteria.

When should I use AI Code Review?

AI Code Review fits situations like: tasks that involve User stories; tasks that involve Code review.

How do I install AI Code Review in Claude Code?

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

How do I install AI Code Review in Codex?

Run `npx skills add pony-maggie/code_minions --skill ai-code-review -a codex`. Or copy the skill folder (src/code_minions/builtin/skills/ai-code-review in pony-maggie/code_minions) into .agents/skills/ai-code-review in your project. Codex loads it when a task matches its description.

Can I use AI Code 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 pony-maggie/code_minions --skill ai-code-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/ai-code-review, .gemini/skills/ai-code-review, .github/skills/ai-code-review and .opencode/skills/ai-code-review in your project.

What does AI Code Review need to run?

SKILL.md names no scripts, command-line tools or credentials: AI Code Review is instructions for the agent only. Its frontmatter pre-approves these tools: Read.

Does AI Code Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is AI Code 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 AI Code Review use?

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

How many tokens does AI Code Review use?

About 381 tokens (SKILL.md is roughly 1.5k 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 AI Code Review?

Skills that share tags, products or a category with AI Code Review: Refactor Design Report (penwyp/ClaudePreference, 136 stars), Code Review Completeness (eric-tramel/moraine, 117 stars), Implement Feature (Log2n-io/Typhon, 250 stars) and Review (genkovich/sdd, 171 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains AI Code Review?

pony-maggie (a GitHub user) maintains it in pony-maggie/code_minions, which has 156 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on June 1, 2026.

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