Agent skill

Code Review

by vstorm-co in vstorm-co/pydantic-deepagents

Systematic code review for bugs, security, style, and performance

MITAuto-check passedDevelopment

Install Code Review

skills CLI
$ npx skills add vstorm-co/pydantic-deepagents --skill code-review -a claude-code

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

GitHub CLI
$ gh skill install vstorm-co/pydantic-deepagents 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/vstorm-co/pydantic-deepagents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/apps/cli/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
1.1k
Token cost
~304 tokens
SKILL.md length
129 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
MIT

At a glance

Systematic code review for bugs, security, style, and performance

  • Works in 5 steps: Correctness → Security → Performance → …
  • Tasks that involve Code review
  • SKILL.md covers Review Checklist and Output Format
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Code Review is an agent skill from vstorm-co/pydantic-deepagents. Systematic code review for bugs, security, style, and performance

Its SKILL.md is about 300 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: Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints… The licence is MIT.

When your agent uses it

  • Tasks that involve Code review

Example prompts

  • “/code-review”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Correctness
  2. Security
  3. Performance
  4. Style & Maintainability
  5. Testing

What it can do on your machine

Read from SKILL.md and the folder at commit 650b592. 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 304 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 129 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~19
When it runs · the whole SKILL.md, loaded when a task matches
~304

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 vstorm-co/pydantic-deepagents at commit 650b592, republished under its MIT licence (© vstorm-co). 129 words, ~304 tokens.

Download SKILL.mdSave it as .claude/skills/code-review/SKILL.md (or your agent's skills folder).
name
code-review
description
Systematic code review for bugs, security, style, and performance
tags
code-quality, review
version
1.0.0

Code Review

Perform a systematic code review covering these categories:

Review Checklist

1. Correctness
  • Logic errors, off-by-one, null/None handling
  • Edge cases: empty inputs, large inputs, concurrent access
  • Error handling: are exceptions caught and handled properly?
2. Security
  • Input validation and sanitization
  • SQL injection, XSS, command injection
  • Secrets in code, hardcoded credentials
  • Authentication and authorization checks
3. Performance
  • Unnecessary loops, N+1 queries
  • Missing indexes for database queries
  • Large memory allocations, unbounded collections
  • Blocking calls in async code
4. Style & Maintainability
  • Naming clarity (variables, functions, classes)
  • Function length — split if >30 lines
  • Dead code, commented-out code
  • Missing type annotations
5. Testing
  • Are new code paths covered by tests?
  • Are edge cases tested?
  • Are error paths tested?

Output Format

For each issue found:

  • File:line — category — description — suggested fix
  • Severity: critical / warning / suggestion

© vstorm-co, 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 apps/cli/skills/code-review of vstorm-co/pydantic-deepagents.

Open the folder on GitHubat commit 650b592

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 skillvstorm-co/pydantic-deepagents1.1k—~304Automated 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

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  • PR Babysitter

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    69k GitHub starsUsed in 3 repos~4.2k tokens
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  • 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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Categories

Questions about Code Review

What does Code Review do?

Systematic code review for bugs, security, style, and performance. Code Review is an agent skill from vstorm-co/pydantic-deepagents.

When should I use Code Review?

Code Review fits situations like: tasks that involve Code review.

How do I install Code Review in Claude Code?

Run `npx skills add vstorm-co/pydantic-deepagents --skill code-review -a claude-code`. Or copy the skill folder (apps/cli/skills/code-review in vstorm-co/pydantic-deepagents) 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 vstorm-co/pydantic-deepagents --skill code-review -a codex`. Or copy the skill folder (apps/cli/skills/code-review in vstorm-co/pydantic-deepagents) 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 vstorm-co/pydantic-deepagents --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 304 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?

vstorm-co (a GitHub organization) maintains it in vstorm-co/pydantic-deepagents, which has 1,077 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 6, 2026.

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