Claude Code · Community skill
Code Reviewer
Automated code review tools for analyzing pull requests, detecting code quality issues, and generating review reports.
What this skill covers
This page keeps a stable Remote OpenClaw URL for the upstream skillwhile preserving the original source content below. The shell stays consistent, and the body can vary as much as the upstream SKILL.md or README varies.
Source files and registry paths
Source path
engineering-team/skills/code-reviewer
Entry file
engineering-team/skills/code-reviewer/SKILL.md
Repository
alirezarezvani/claude-skills
Format
markdown-skill
Original source content
Raw file# Code Reviewer Automated code review tools for analyzing pull requests, detecting code quality issues, and generating review reports. --- ## Table of Contents - [Tools](#tools) - [PR Analyzer](#pr-analyzer) - [Code Quality Checker](#code-quality-checker) - [Review Report Generator](#review-report-generator) - [Reference Guides](#reference-guides) - [Languages Supported](#languages-supported) --- ## Tools ### PR Analyzer Analyzes git diff between branches to assess review complexity and identify risks. ```bash # Analyze current branch against main python scripts/pr_analyzer.py /path/to/repo # Compare specific branches python scripts/pr_analyzer.py . --base main --head feature-branch # JSON output for integration python scripts/pr_analyzer.py /path/to/repo --json ``` **What it detects:** - Hardcoded secrets (passwords, API keys, tokens) - SQL injection patterns (string concatenation in queries) - Debug statements (debugger, console.log) - ESLint rule disabling - TypeScript `any` types - TODO/FIXME comments **Output includes:** - Complexity score (1-10) - Risk categorization (critical, high, medium, low) - File prioritization for review order - Commit message validation --- ### Code Quality Checker Analyzes source code for structural issues, code smells, and SOLID violations. ```bash # Analyze a directory python scripts/code_quality_checker.py /path/to/code # Analyze specific language python scripts/code_quality_checker.py . --language python # JSON output python scripts/code_quality_checker.py /path/to/code --json ``` **What it detects:** - Long functions (>50 lines) - Large files (>500 lines) - God classes (>20 methods) - Deep nesting (>4 levels) - Too many parameters (>5) - High cyclomatic complexity - Missing error handling - Unused imports - Magic numbers **Thresholds:** | Issue | Threshold | |-------|-----------| | Long function | >50 lines | | Large file | >500 lines | | God class | >20 methods | | Too many params | >5 | | Deep nesting | >4 levels | | High complexity | >10 branches | --- ### Review Report Generator Combines PR analysis and code quality findings into structured review reports. ```bash # Generate report for current repo python scripts/review_report_generator.py /path/to/repo # Markdown output python scripts/review_report_generator.py . --format markdown --output review.md # Use pre-computed analyses python scripts/review_report_generator.py . \ --pr-analysis pr_results.json \ --quality-analysis quality_results.json ``` **Report includes:** - Review verdict (approve, request changes, block) - Score (0-100) - Prioritized action items - Issue summary by severity - Suggested review order **Verdicts:** | Score | Verdict | |-------|---------| | 90+ with no high issues | Approve | | 75+ with ≤2 high issues | Approve with suggestions | | 50-74 | Request changes | | <50 or critical issues | Block | --- ## Reference Guides ### Code Review Checklist `references/code_review_checklist.md` Systematic checklists covering: - Pre-review checks (build, tests, PR hygiene) - Correctness (logic, data handling, error handling) - Security (input validation, injection prevention) - Performance (efficiency, caching, scalability) - Maintainability (code quality, naming, structure) - Testing (coverage, quality, mocking) - Language-specific checks ### Coding Standards `references/coding_standards.md` Language-specific standards for: - TypeScript (type annotations, null safety, async/await) - JavaScript (declarations, patterns, modules) - Python (type hints, exceptions, class design) - Go (error handling, structs, concurrency) - Swift (optionals, protocols, errors) - Kotlin (null safety, data classes, coroutines) ### Common Antipatterns `references/common_antipatterns.md` Antipattern catalog with examples and fixes: - Structural (god class, long method, deep nesting) - Logic (boolean blindness, stringly typed code) - Security (SQL injection, hardcoded credentials) - Performance (N+1 queries, unbounded collections) - Testing (duplication, testing implementation) - Async (floating promises, callback hell) --- ## Languages Supported | Language | Extensions | |----------|------------| | Python | `.py` | | TypeScript | `.ts`, `.tsx` | | JavaScript | `.js`, `.jsx`, `.mjs` | | Go | `.go` | | Swift | `.swift` | | Kotlin | `.kt`, `.kts` |
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