安全扫描（ClawHub）

• VirusTotal ：良性
• OpenClaw ：可疑

OpenClaw 评估

The skill mostly does what it says (local code-review analysis) but is internally inconsistent: it ships Python scripts that expect git/python on PATH yet the skill declares no required binaries or install steps, so you should review and validate the scripts and run them in an isolated environment before trusting them.

安装（复制给龙虾 AI）

将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Senior Code Reviewer」。简介：Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin. A…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/alirezarezvani/code-reviewer-2/SKILL.md
（来源：yingzhi8.cn 技能库）

SKILL.md

打开原始 SKILL.md（GitHub raw）

---
name: code-reviewer
description: Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.
---

# 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` |