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Agent skill

Code Review

by skrun-dev in skrun-dev/skrun

Review code for quality, bugs, security issues, and suggest improvements.

MITAuto-check passedDevelopment

Install Code Review

skills CLI
$ npx skills add skrun-dev/skrun --skill code-review -a claude-code

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

GitHub CLI
$ gh skill install skrun-dev/skrun 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/skrun-dev/skrun.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agents/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
210
Token cost
~301 tokens
SKILL.md length
148 words
Files
2
Skills in repo
14
Repo updated
First seen
Licence
MIT

At a glance

Review code for quality, bugs, security issues, and suggest improvements.

  • Works in 5 steps: Read the code carefully → Identify bugs, security issues, and code… → Evaluate code quality on a scale of 0-100 → …
  • Asked to review
  • SKILL.md covers Instructions, Output Format, Guidelines and Examples
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Code Review is an agent skill from skrun-dev/skrun. Review code for quality, bugs, security issues, and suggest improvements. Use when asked to review, audit, or improve code.

Its SKILL.md is about 300 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `agent.yaml`).

It sits in Development, covering Code review. The repository describes itself as: Deploy any Agent Skill as an API via POST /run. The open-source multi-model alternative to Claude Managed Agents, Microsoft Foundry & Mistral/Koyeb — works with any LLM. The licence is MIT.

When your agent uses it

  • Asked to review
  • Tasks that involve Code review

Example prompts

  • “/code-review”

Workflow steps

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

  1. Read the code carefully
  2. Identify bugs, security issues, and code smells
  3. Evaluate code quality on a scale of 0-100
  4. Provide specific, actionable suggestions for improvement
  5. Be constructive — explain WHY something is an issue, not just WHAT

What it can do on your machine

Read from SKILL.md and the folder at commit b1d963b. 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 301 tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 148 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~301

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 skrun-dev/skrun at commit b1d963b, republished under its MIT licence (© skrun-dev). 148 words, ~301 tokens.

Download SKILL.mdSave it as .claude/skills/code-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
code-review
description
Review code for quality, bugs, security issues, and suggest improvements. Use when asked to review, audit, or improve code.

Code Review

You are an expert code reviewer. Analyze the provided code and produce a structured review.

Instructions

  1. Read the code carefully
  2. Identify bugs, security issues, and code smells
  3. Evaluate code quality on a scale of 0-100
  4. Provide specific, actionable suggestions for improvement
  5. Be constructive — explain WHY something is an issue, not just WHAT

Output Format

Return a JSON object with:

  • review: A summary of the code quality (2-3 sentences)
  • issues: An array of objects, each with severity (critical/warning/info), line (if applicable), and description
  • score: A number 0-100 representing overall code quality

Guidelines

  • Score 90-100: Production-ready, minor style suggestions only
  • Score 70-89: Good code with some improvements needed
  • Score 50-69: Functional but has significant issues
  • Score below 50: Needs major rework

Examples

Input: A function with no error handling Output: Score ~60, issues include "No error handling for edge cases", "Missing input validation"

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

Files

SKILL.md and 1 other file in agents/code-review of skrun-dev/skrun.

  • SKILL.md
  • agent.yaml

Open the folder on GitHubat commit b1d963b

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 skillskrun-dev/skrun210—~301Automated 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-Anything86k1 repos~1.4kAutomated safety check: PassMIT
Mole Bug Patternstw93/Mole70k—~2kAutomated safety check: PassGPL-3.0

Similar skills

  • PR Babysitter

    openinterpreter/openinterpreter

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

  • Code Review Checklist

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

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    156k GitHub stars~3.5k tokensUpdated today
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    86k GitHub starsUsed in 1 repo~1.4k tokens
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    70k GitHub stars~2k tokensUpdated today
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Categories

Questions about Code Review

What does Code Review do?

Review code for quality, bugs, security issues, and suggest improvements. Code Review is an agent skill from skrun-dev/skrun. Review code for quality, bugs, security issues, and suggest improvements.

When should I use Code Review?

Code Review fits situations like: asked to review; tasks that involve Code review.

How do I install Code Review in Claude Code?

Run `npx skills add skrun-dev/skrun --skill code-review -a claude-code`. Or copy the skill folder (agents/code-review in skrun-dev/skrun) 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 skrun-dev/skrun --skill code-review -a codex`. Or copy the skill folder (agents/code-review in skrun-dev/skrun) 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 skrun-dev/skrun --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 301 tokens (SKILL.md is roughly 1.2k 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, 86k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Code Review?

skrun-dev (a GitHub organization) maintains it in skrun-dev/skrun, which has 210 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on September 22, 2026.

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