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code-reviewer

Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin, C#, .NET, Java, C, C++, Rust, Ruby, PHP, and Dart/Flutter. Analyzes PR…

执行命令读文件写文件严重 1 · 高危 3alirezarezvani/claude-skills

它会碰到什么

扫了多少25 个文本文件,149 KB
它会碰到什么执行命令读文件写文件
命中总数16 处
命中统计严重 1 · 高 3 · 中 12 · 低 0
逐条看命中(4 条严重或高危)
  • 严重 languages/python.md:35deserialize-unsafe
    - Flag `pickle.loads()` on untrusted data — use `json` or `msgpack`
  • scripts/pr_analyzer.py:149exec-spawn
    result = subprocess.run(
  • scripts/review_report_generator.py:58exec-spawn
    result = subprocess.run(
  • scripts/review_report_generator.py:78exec-spawn
    result = subprocess.run(

这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。

技能内容

Code Reviewer

Automated code review tools for analyzing pull requests, detecting code quality issues, and generating review reports.


How This Skill Is Organized

code-reviewer/
  SKILL.md                        ← you are here (tools + dispatch table)
  rules/
    universal.md                  ← security, async, resources, exceptions, performance — all languages
  languages/
    python.md                     ← Python-specific rules + idioms
    typescript.md                 ← TypeScript / JavaScript-specific rules + idioms
    go.md                         ← Go-specific rules + idioms
    swift.md                      ← Swift-specific rules + idioms
    kotlin.md                     ← Kotlin-specific rules + idioms
    csharp.md                     ← C# / .NET-specific rules + idioms
    java.md                       ← Java-specific rules + idioms
    c.md                          ← C -specific rules + idioms
    cpp.md                        ← C++ -specific rules + idioms
    rust.md                       ← Rust -specific rules + idioms
    ruby.md                       ← Ruby -specific rules + idioms
    php.md                        ← PHP-specific rules + idioms
    dart.md                       ← Dart / Flutter-specific rules + idioms

Loading order for every review

  1. This file (SKILL.md) — tools and thresholds
  2. rules/universal.md — always, for every language
  3. The matching languages/*.md — one file based on the extension table below

That is always exactly 2 additional files, regardless of scope.

| Extension(s) | Load |

|---|---|

| .py | languages/python.md |

| .ts, .tsx, .js, .jsx, .mjs | languages/typescript.md |

| .go | languages/go.md |

| .swift | languages/swift.md |

| .kt, .kts | languages/kotlin.md |

| .cs, .csx, .razor, .cshtml | languages/csharp.md |

| .java | languages/java.md |

| .c, .h | languages/c.md |

| .cpp, .cc, .cxx, .hpp, .hh, .hxx | languages/cpp.md |

| .rs | languages/rust.md |

| .rb, .rake, .gemspec, .ru | languages/ruby.md |

| .php, .phtml | languages/php.md |

| .dart | languages/dart.md |


Tools

PR Analyzer

Analyzes git diff between branches to assess review complexity and identify risks.

# 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 (universal — see also language file for language-specific signals):

  • Hardcoded secrets (passwords, API keys, tokens, connection strings)
  • SQL / query injection patterns
  • Debug statements left in production code
  • Lint / analyzer suppression annotations
  • TODO/FIXME comments

Language-specific detections are defined in each languages/*.md file.

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.

# Analyze a directory
python scripts/code_quality_checker.py /path/to/code

# Analyze specific language
# Valid values: python, typescript, javascript, go, swift, kotlin, csharp, java, c, cpp, rust, ruby, php, dart
python scripts/code_quality_checker.py . --language java

# JSON output
python scripts/code_quality_checker.py /path/to/code --json

Universal 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 |

Language-specific checks are defined in each languages/*.md file.


Review Report Generator

Combines PR analysis and code quality findings into structured review reports.

# 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

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 |


Adding a New Language

Reviewer guidance (required):

  1. Create languages/<name>.md using any existing language file as a template — it must have sections: PR Analyzer Signals, Code Quality Checks, Security, Async, Resource Management, Exception Handling, Performance, Idioms.
  2. Add the extension row to the dispatch table above.

That is all the agent-driven review needs.

Deterministic analyzer support (optional, recommended): the bundled scripts

only flag a language they explicitly know. To make code_quality_checker.py

score the new language:

  1. Add the extensions to LANGUAGE_EXTENSIONS in scripts/code_quality_checker.py (this also adds the --language choice).
  2. Add function / class / method regex entries for the language in the same file; otherwise it falls back to the Python patterns.
  3. Optionally add a check_<name>_specific_smells(...) detector (see the C#, Java, and C ones) and call it from analyze_file.
  4. Add assets/sample_<name>_smells.<ext> + _clean fixtures and commit the expected --json output under expected_outputs/ as a regression guard.

Regression Fixtures

Labelled fixtures live in assets/ with their committed --json output in

expected_outputs/ (C#, Java, and C). Drift from the committed JSON signals a

behaviour change in the analyzer:

python scripts/code_quality_checker.py assets/sample_java_smells.java --json \
  | diff - expected_outputs/sample_java_smells_quality.json

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它属于哪个仓库

星标★ 26,030
本站分层T1
该仓技能数846
原文件路径engineering-team/skills/code-reviewer/SKILL.md

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