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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 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.

DeepseekModel キュレーション済みスキル 品質 優秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=alirezarezvani-claude-skills-engineering-team-skills-code-reviewer-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
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. 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 This file ( SKILL.md ) — tools and thresholds rules/universal.md — always, for every language 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): 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. 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: Add the extensions to LANGUAGE_EXTENSIONS in scripts/code_quality_checker.py (this also adds the --language choice). Add function / class / method regex entries for the language in the same file; otherwise it falls back to the Python patterns. Optionally add a check_<name>_specific_smells(...) detector (see the C#, Java, and C ones) and call it from analyze_file . 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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このスキルにはトリガーワードがありません。

ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
同じスキルを各プラットフォーム形式で出力できます。
.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

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