Agent skill

Code Review

by peintune in peintune/runjam

A skill your agent uses when reviewing code for bugs, security issues, performance problems, or adherence to best practices.

MITAuto-check passedDevelopment

Install Code Review

skills CLI
$ npx skills add peintune/runjam --skill code-review -a claude-code

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

GitHub CLI
$ gh skill install peintune/runjam 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/peintune/runjam.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src-tauri/builtin-skills/code-review .claude/skills/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
code-review
GitHub stars
228
Token cost
~244 tokens
SKILL.md length
102 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when reviewing code for bugs, security issues, performance problems, or adherence to best practices.

  • Works in 3 steps: Read the diff or code changes → Analyze for: correctness, security,… → Report findings by severity
  • Reviewing code for bugs
  • SKILL.md covers Process and Guidelines
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Code Review is an agent skill from peintune/runjam. Use when reviewing code for bugs, security issues, performance problems, or adherence to best practices. Provides structured code review with severity levels and actionable feedback.

Its SKILL.md is about 240 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: One desktop for all your AI coding Agent — Claude Code, Codex CLI & Gemini CLI. Auto-detect, one-click install, unified chat, file explorer, terminal & editor. Local-first. Built… The licence is MIT.

When your agent uses it

  • Reviewing code for bugs
  • Security issues
  • Performance problems
  • Adherence to best practices

Example prompts

  • “/code-review”

Workflow steps

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

  1. Read the diff or code changes
  2. Analyze for: correctness, security, performance, maintainability, style
  3. Report findings by severity

What it can do on your machine

Read from SKILL.md and the folder at commit b186c61. 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

    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

Code Review loads about 244 tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 102 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~49
When it runs · the whole SKILL.md, loaded when a task matches
~244

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

The full file from peintune/runjam at commit b186c61, republished under its MIT licence (© peintune). 102 words, ~244 tokens.

Download SKILL.mdSave it as .claude/skills/code-review/SKILL.md (or your agent's skills folder).
name
code-review
description
Use when reviewing code for bugs, security issues, performance problems, or adherence to best practices. Provides structured code review with severity levels and actionable feedback.

Code Review

Provide thorough, structured code reviews with actionable feedback.

Process

  1. Read the diff or code changes
  2. Analyze for: correctness, security, performance, maintainability, style
  3. Report findings by severity:
    • Critical: Bugs, security holes, data loss risk
    • Warning: Performance issues, poor error handling, race conditions
    • Info: Style inconsistencies, naming suggestions, documentation gaps

Guidelines

  • Never rewrite code unless asked — point out issues and suggest fixes
  • Focus on the diff, not the whole file
  • If you see a pattern of issues, mention it once with a general recommendation
  • Be specific: cite exact line numbers and code snippets
  • Suggest concrete fixes, not vague advice

© peintune, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in src-tauri/builtin-skills/code-review of peintune/runjam.

Open the folder on GitHubat commit b186c61

Compare with similar skills

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.

Code Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Code Review this skillpeintune/runjam228—~244Automated safety check: PassMIT
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-Anything85k1 repos~1.4kAutomated safety check: PassMIT
Mole Bug Patternstw93/Mole69k—~2kAutomated safety check: PassGPL-3.0

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  • PR Babysitter

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Categories

Questions about Code Review

What does Code Review do?

A skill your agent uses when reviewing code for bugs, security issues, performance problems, or adherence to best practices. Code Review is an agent skill from peintune/runjam. Use when reviewing code for bugs, security issues, performance problems, or adherence to best practices.

When should I use Code Review?

Code Review fits situations like: reviewing code for bugs; security issues; performance problems; adherence to best practices.

How do I install Code Review in Claude Code?

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

How do I install Code Review in Codex?

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

Can I use 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 peintune/runjam --skill 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/code-review, .gemini/skills/code-review, .github/skills/code-review and .opencode/skills/code-review in your project.

What does Code Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Code Review is instructions for the agent only.

Does 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 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 Code Review use?

Code Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Code Review use?

About 244 tokens (SKILL.md is roughly 976 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 Code Review?

Skills that share tags, products or a category with Code 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, 85k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Code Review?

peintune (a GitHub user) maintains it in peintune/runjam, which has 228 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 5, 2026.

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