code-reviewer – Coding skill for AI agents
Use for any code review: a pull request, a diff, a commit, or a pasted function, handler or file in TypeScript, JavaScript, Python, Go, Swift, Kotlin, C#/.NET, Java, C, C++, Rust, Ruby, PHP or Dart/Flutter. Applies per-language rule packs (security such as SQL injection and missing auth, async and resource handling, er
Install the code-reviewer skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/code-reviewer-83d55.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /code-reviewer – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/code-reviewer-83d55.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $code-reviewer – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/code-reviewer-83d55.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /code-reviewer – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/code-reviewer-83d55.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /code-reviewer – then describe the task you want done.
SKILL.md content
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 + idiomsLoading 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 |
---
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 --jsonWhat 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 --jsonUniversal 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.jsonVerdicts:
| 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.
---
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 \
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