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code-reviewer

Implement — 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, genera

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thiagofernandes1987-create/APEX
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2026년 4월 18일 09:35
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SKILL.md
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name
code-reviewer
description
Implement — 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, genera
executor
HYBRID
skill_id
engineering.cs-engineering-team.code-reviewer
status
ADOPTED
security
{"level":"standard","pii":false,"approval_required":false}
anchors
["engineering","code","automation"]
tier
2
input_schema
[{"name":"code_or_task","type":"string","description":"Code snippet, script, or task description to process","required":true}]
output_schema
[{"name":"report","type":"string","description":"Analysis report or summary from code reviewer"}]
# 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` | --- ## Why This Skill Exists Implement — 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, genera <!-- SR_40: auto-generated from frontmatter `purpose`/`description` (OPP-Phase3). Expand with domain-specific rationale. --> ## When to Use Use this skill when the task requires code reviewer capabilities. <!-- SR_40: auto-generated from frontmatter `when`/`description` (OPP-Phase3). --> ## What If Fails If this skill fails to produce the expected output: (1) verify input completeness, (2) retry with more specific context, (3) fall back to the parent workflow without this skill. <!-- SR_40: auto-generated from frontmatter `what_if_fails` (OPP-Phase3). -->
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