Skills Plugins MCP Prompt Model 博客 我的中心
Development #python #javascript #typescript #automation

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 Curated skill Quality Excellent · 90 v1.0.0

Get

https://deepseekmodel.com/api/download.php?id=alirezarezvani-claude-skills-engineering-team-skills-code-reviewer-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
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
Keywords that activate this skill. Click one to copy it.

This skill does not provide trigger words.

The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。