Agent Skills: Code Review Skill

Claude-native review of code for quality, structure, naming, and maintainability (no external AI). Use when reviewing a file or diff for code quality before committing. Trigger on "review this code", "code review", "is this well-written". For security, use /security-verify; for companion-AI review, use /review.

UncategorizedID: matteocervelli/llms/code-review

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pnpm dlx add-skill https://github.com/matteocervelli/llms/tree/HEAD/.codex/skills/code-review

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.codex/skills/code-review/SKILL.md

Skill Metadata

Name
code-review
Description
Claude-native review of code for quality, structure, naming, and maintainability (no external AI). Use when reviewing a file or diff for code quality before committing. Trigger on "review this code", "code review", "is this well-written". For security, use /security-verify; for companion-AI review, use /review.

Code Review Skill

Purpose

Code review focused on quality, structure, naming, and maintainability. For security reviews, use /security-verify scan.

Quick Start

/code-review <file-path>

Review Categories

1. Code Quality (Critical)

File Organization

  • [ ] File size <= 500 lines
  • [ ] Single responsibility
  • [ ] Clear module structure

Naming

  • [ ] Self-documenting names
  • [ ] Verbs for functions, nouns for data
  • [ ] Consistent naming style (snake_case/camelCase)
  • [ ] No abbreviations

Type Hints (Python) / Types (TS)

  • [ ] All function parameters typed
  • [ ] Return types specified
  • [ ] No implicit Any

Docstrings/Comments

  • [ ] Google-style docstrings on public API
  • [ ] Comments explain WHY, not WHAT
  • [ ] No commented-out code

2. Error Handling

  • [ ] Specific exception types
  • [ ] No bare except:
  • [ ] Clear error messages
  • [ ] Cleanup in finally/with blocks

3. Complexity

  • [ ] Functions < 50 lines
  • [ ] Cyclomatic complexity < 10
  • [ ] Nesting depth < 4 levels
  • [ ] No deep callback chains

4. Testing Readiness

  • [ ] Dependencies injectable
  • [ ] Side effects isolated
  • [ ] Pure functions where possible

5. Style

  • [ ] Consistent formatting
  • [ ] Imports organized
  • [ ] No unused imports/variables

Review Output

# Code Review: src/module.py

## Quality Score: 8/10

## Critical Issues (Must Fix)

- Line 45: Function `process_data` is 78 lines. Split into smaller functions.

## Important Issues (Should Fix)

- Line 23: Missing type hint on return value
- Line 67: Bare `except:` - specify exception type

## Suggestions

- Line 12: Consider extracting magic number 86400 to constant

## Strengths

- Clear function naming
- Good separation of concerns

Common Issues Checklist

Python

  • [ ] No mutable default arguments
  • [ ] Using context managers for resources
  • [ ] No string concatenation in loops
  • [ ] Using generators for large datasets

TypeScript

  • [ ] Strict mode enabled
  • [ ] No any types
  • [ ] Proper null checks
  • [ ] No type assertions without reason

General

  • [ ] No magic numbers (use constants)
  • [ ] DRY - no duplicate code blocks
  • [ ] Single return point (when reasonable)
  • [ ] Clear control flow

6. Security (Stack-Specific)

FastAPI/Python Backend:

  • [ ] Tenant ID from session middleware, never from request body
  • [ ] Pydantic models with extra = "forbid"
  • [ ] ORM-only queries (no string interpolation)
  • [ ] Argon2id for passwords, Redis for sessions

Jinja2/HTMX Frontend:

  • [ ] No | safe on user input (use | sanitize_html)
  • [ ] CSP nonces on inline scripts
  • [ ] CSRF token in forms and HTMX headers
  • [ ] No internal IDs exposed (use hashids)

PostgreSQL Database:

  • [ ] RLS enabled on tenant-scoped tables
  • [ ] SSL required in connection string
  • [ ] Separate roles (app/migration/readonly)

For comprehensive security scan: Run /security-verify scan.

Integration

For comprehensive validation before commit:

  1. /code-review - This skill (structure, quality)
  2. /security-verify scan - Security issues
  3. /pre-commit - Full validation suite