بنقرة واحدة
code-reviewer
Performs comprehensive code reviews with security, quality, and best practice checks
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Performs comprehensive code reviews with security, quality, and best practice checks
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Generate EvalView test cases — either from a SKILL.md file using LLM-powered generation, or by capturing real agent interactions through a proxy.
Run EvalView regression checks against golden baselines to detect regressions in AI agent behavior after code, prompt, or model changes.
Start EvalView watch mode to automatically re-run regression checks whenever project files change.
Beat procrastination with task breakdown, 2-minute starts, and accountability tracking
A skill that helps review code for best practices, bugs, and security issues
A simple skill that creates a greeting file
| name | code-reviewer |
| description | Performs comprehensive code reviews with security, quality, and best practice checks |
| version | 1.0 |
| author | EvalView |
| triggers | ["review code","code review","review my code","check code"] |
| tools | ["Read","Write","Bash"] |
A comprehensive code review assistant that analyzes code for bugs, security vulnerabilities, performance issues, and best practices.
Activate this skill when the user asks you to:
First, determine what code to review:
git diff --stagedgit diff HEAD~1Analyze the code across these dimensions:
Create a review document with this structure:
# Code Review Summary
## Overview
[Brief summary of what was changed and overall assessment]
## Critical Issues 🔴
[Issues that MUST be fixed before merging]
## Important Issues 🟡
[Issues that should be addressed soon]
## Suggestions 🔵
[Nice-to-have improvements]
## Security Analysis
[Security-specific findings]
## Positives ✅
[What was done well - be specific]
## Next Steps
[Concrete action items with priority]
Good Review Comment:
❌ Instead of: "This is bad"
✅ Better: "This SQL query is vulnerable to injection. Consider using parameterized queries:
// Current (unsafe):
query = f"SELECT * FROM users WHERE id = {user_id}"
// Better (safe):
query = "SELECT * FROM users WHERE id = ?"
params = [user_id]
When suggesting changes, show before/after code:
# Before
def process_data(data):
result = []
for item in data:
if item['status'] == 'active':
result.append(item)
return result
# After (more Pythonic)
def process_data(data):
return [item for item in data if item.get('status') == 'active']
Save the review to a file:
code-review.md (default)Before finalizing, ensure you've checked:
User: "Review my staged changes"
You:
git diff --staged to see changesUser: "Review the authentication code in auth.py"
You:
auth.pyUser: "Review PR #123"
You:
gh pr diff 123 to get the diffAlways save reviews to a file (don't just print to console). Use clear markdown formatting with: