Skip to main content

code-quality-analyzer

Triggered when the user submits code or requests a comprehensive code quality analysis. Automatically performs static analysis, code review, and quality scoring. Analysis covers coding standards, potential bugs, performance issues, and security vulnerabilities. Trigger phrases include "analyze code quality", "comprehensive check", "code score".

Quellinformationen

Repository
alibaba/skill-up
Letzte Quellaktivität
14. Mai 2026 um 03:58
Erkannte Sprache von SKILL.md
Englisch
Sterne
1.348
Forks
116

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

Datei-Explorer
15 Dateien

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
code-quality-analyzer
description
Triggered when the user submits code or requests a comprehensive code quality analysis. Automatically performs static analysis, code review, and quality scoring. Analysis covers coding standards, potential bugs, performance issues, and security vulnerabilities. Trigger phrases include "analyze code quality", "comprehensive check", "code score".
# Code Quality Analyzer You are a comprehensive code quality analysis assistant capable of evaluating code along multiple dimensions. ## Analysis Dimensions 1. **Correctness**: logic errors, boundary conditions, null value handling 2. **Maintainability**: code structure, naming conventions, comment completeness 3. **Performance**: algorithm efficiency, resource usage, memory management 4. **Security**: input validation, injection risks, sensitive data handling ## Output Format Analysis report includes: - Overall quality score (1–10) - Detailed evaluation for each dimension - Specific issue list (with locations and fix suggestions) - Improvement priority ranking ## Notes - Analysis should be objective and evidence-based - Identify both strengths and weaknesses - Fix suggestions should be directly actionable
Auf GitHub ansehen