code-reviewer

name	code-reviewer
description	Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin, C#, .NET, Java, C, C++, Rust, Ruby, PHP, and Dart/Flutter. 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.

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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

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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

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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.

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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

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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# and Java 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# and Java). 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