code-review: Security & Code Review for AI Agents | OpenAgentSkill

Overview

Review 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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Source documentation, not instructions for this website. Review permissions before running any commands.

Code 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 $ARGUMENTS specifies a file, branch, or PR: use that scope
If $ARGUMENTS is empty: run git 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

View source ↗

File metadata

name: code-review
description: Review 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.
argument-hint: "[file path, branch, or PR number]"
context: fork
agent: Explore
allowed-tools: Read, Grep, Glob, Bash(git *)

View original text

---
name: code-review
description: Review 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.
argument-hint: "[file path, branch, or PR number]"
context: fork
agent: Explore
allowed-tools: Read, Grep, Glob, Bash(git *)
---

# Code 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 `$ARGUMENTS` specifies a file, branch, or PR: use that scope
- If `$ARGUMENTS` is empty: run `git 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:
1. **File and line reference**: `path/to/file.ts:42`
2. **What's wrong**: One sentence
3. **Why it matters**: Impact if not fixed
4. **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

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: AGPL-3.0

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
AI review approval is missing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 23 GitHub stars
Stars/forks activity: 23 stars, 0 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Open full audit

Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.

Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3

Source & usage notes

IndexedStatic Checked

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: mfielding92/ClawedBack
License: AGPL-3.0
Version: Unknown
Last GitHub push: Aug 14, 2026
Registry updated: Sep 13, 2026
Instruction path: .claude/skills/code-review/SKILL.md @ 62fa27c9b4e7

Version reported in registry metadata; check source releases before relying on it.

Quality

52/100

Needs review

Trust

56/100

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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Creator: mfielding92
Source: mfielding92/ClawedBack
Indexed by: OpenAgentSkill community index

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