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code-review

Perform a structured code review of changes, checking for correctness, style, tests, and potential issues.

Skill by langchain-aiOfficial

IndexedMIT★ 30,550
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/langchain-ai-code-review

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Perform a structured code review of changes, checking for correctness, style, tests, and potential issues.

Use cases: devops, agent-building, code-review

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/code-review

What's inside

Skill name
code-review
Description
Perform a structured code review of changes, checking for correctness, style, tests, and potential issues.
License
MIT
Instructions
47 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (2)

  • SKILL.md
  • lint_check.py

SKILL.md (first lines)

# Code Review Skill

Use this skill after implementing changes to validate your work before delivering.

## Review Checklist

### 1. Correctness
- [ ] Changes solve the original issue/task
- [ ] No unintended side effects on existing functionality
- [ ] Edge cases are handled
- [ ] Error handling is appropriate (not excessive)

### 2. Code Quality
- [ ] Code matches existing style and patterns
- [ ] No unnecessary complexity or abstraction
- [ ] Variable and function names are clear
- [ ] No dead code, commented-out code, or TODOs left behind

### 3. Tests
- [ ] New functionality has test coverage
- [ ] Existing tests still pass
- [ ] Tests cover both happy path and error cases
- [ ] Tests are not brittle (don't test implementation details)

### 4. Safety
- [ ] No hardcoded secrets or credentials
- [ ] User input is validated at boundaries
- [ ] No SQL injection, XSS, or command injection vectors
- [ ] File operations use safe paths

## Process

1. Read each modified file end-to-end (not just the diff)
2. Run the test suite: `execute("python -m pytest -v")`
3. Run linters if available: `execute("ruff check .")`
4. Run the bundled lint check: `execute("python /skills/code-review/lint_check.py .")`
5. Check against each item in the review checklist
6. If any issues found, fix them and re-review
7. When everything passes, the review is complete

## Helper Scripts

- **`/skills/code-review/lint_check.py`** — Scans Python files for missing
  docstrings, long functions (>50 lines), and bare `except:` clauses. Run it
  via `execute("python /skills/code-review/lint_check.py [path ...]")`.

From langchain-ai/deepagents, MIT.

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Stars
30,550
Forks
4,302
Open issues
163
Last commit (this folder)
Jun 20, 2026 (4 months ago)
Last release
Oct 23, 2026 (4 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

code-review skill. Agent Mart. https://agentmart.dev/skills/langchain-ai-code-review (last updated 2026-10-24)