Code Review
SkillSecurityReview code changes for quality, security, and correctness. Use when the user says "review this PR", "review these changes", "check my code", "look at what I changed", or after implementing a feature. Produces a severity-organized report.
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What this skill tells your AI
The instructions your AI receives, as published by mfielding92/clawedback in .claude/skills/code-review/SKILL.md and read by ahel’s review.
Produce a severity-organized review report covering security, correctness, and quality for code changes.
Goal
Identify issues in code changes, organized by severity (Critical > Warnings > Suggestions), with specific file:line references and fix suggestions for every finding. Done when the report is presented to the user.
Context
Before reviewing, read CLAUDE.md and any linter/formatter config files (.eslintrc, pyproject.toml, .prettierrc, etc.) to understand project conventions. Do not flag style issues already handled by configured tooling.
Process
Step 1: Identify Changes
- If
$ARGUMENTSspecifies a file, branch, or PR: use that scope - If
$ARGUMENTSis empty: rungit diff main...HEAD. If that returns nothing, ask: "What should I review — a branch, specific files, or uncommitted changes?" - Identify all modified files and understand the scope
CHECKPOINT: Present the identified files and diff scope. Confirm this is the correct review target before proceeding.
Step 2: Understand Context
- Read the modified files fully (not just the diff)
- Understand what the code is supposed to do
- Check for related test files
Step 3: Review Checklist
Critical (must fix before merge):
- Security vulnerabilities (injection, XSS, exposed secrets, missing auth checks)
- Data loss risks (destructive operations without confirmation, missing transactions)
- Race conditions or concurrency issues
- Breaking changes to public APIs without migration path
Warnings (should fix):
- Missing error handling for external calls (network, file I/O, DB)
- Missing input validation at system boundaries
- Duplicated logic that should be shared
- Performance issues (N+1 queries, unnecessary allocations in loops)
- Missing or inadequate test coverage for new behavior
Suggestions (nice to have):
- Naming improvements for clarity
- Simplification opportunities
- Better patterns available in the framework
Step 4: Report
For each finding:
- File and line reference:
path/to/file.ts:42 - What's wrong: One sentence
- Why it matters: Impact if not fixed
- How to fix: Specific suggestion with code example
Organize findings by severity: Critical first, then Warnings, then Suggestions.
Output
Report is presented inline in the conversation, organized by severity. Offer to save to .claude/memory/review-YYYY-MM-DD.md if the user wants a record.
What NOT to Flag
- Style issues handled by linters/formatters
- Opinions about code organization without concrete benefit
- "I would have done it differently" without a clear improvement
- Missing documentation on self-explanatory code
Signals
- GitHub stars
- 23
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
code-review-mfielding92- Source
- github.com/mfielding92/clawedback