code-reviewer

CategoryCoding
AuthorAlireza Rezvani
LicenseMIT
Rating4.70/5
Uses3.7K

Code Reviewer

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

---

How This Skill Is Organized

code
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 |

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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 (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

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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


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.

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

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:

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

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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:

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