Code reviewer
Skill srg-sphynx/MDForge/Sources/MDForge/Resources/SkillLibrary/Development/code-reviewer
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npx -y skills add srg-sphynx/MDForge --skill code-reviewerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
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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.
SKILL.md
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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>.mdusing 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_EXTENSIONSinscripts/code_quality_checker.py(this also adds the--languagechoice). - Add
function/class/methodregex 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 fromanalyze_file. - Add
assets/sample_<name>_smells.<ext>+_cleanfixtures and commit the expected--jsonoutput underexpected_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
Gives 0 of the 12 instructions most code review skills give in ~1.4k tokens
Counted across 610 of the 674 authors here whose files we hold, read 2026-08-06
- push back with technical reasoning if wrongin 60 of 610, across 24 files
- ask for clarification on unclear itemsin 51 of 610, across 16 files
- fix critical issues immediatelyin 45 of 610, across 29 files
- implement one item at a timein 45 of 610, across 11 files
- group findings by severityin 44 of 610, across 43 files
- verify feedback against the codebasein 42 of 610, across 8 files
- dispatch a code reviewer subagentin 39 of 610, across 23 files
- fix important issues before proceedingin 37 of 610, across 22 files
- test each fix individuallyin 35 of 610, across 7 files
- reply in github comment threadsin 33 of 610, across 5 files
- check for security vulnerabilitiesin 31 of 610, across 27 files
- factualize corrections without over-explainingin 30 of 610, across 2 files
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.