Individual skill
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".
e2e/testdata/full-report-pipeline/SKILL.md
Source commit f2d726e5f61a57c378dbae001264bb4ed6f13967
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 3, 2026
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Repository context
- Repository stars (not skill ratings)
- 1,439
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- alibaba Repository topic
- ai Repository topic
- ai-agents Repository topic
- skills Repository topic
- engineering Derived category
- security Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
README.mddoc · 4,788 bytesSKILL.mdcore · 1,224 bytesevals/cases/error-case.yamlasset · 467 bytesevals/cases/fail-case.yamlasset · 627 bytesevals/cases/pass-case.yamlasset · 636 bytesevals/cases/skip-case.yamlasset · 532 bytesevals/eval.yamlasset · 626 bytesfixtures/expected/benchmark.jsonasset · 1,418 bytesfixtures/expected/eval-metadata.jsonasset · 222 bytesfixtures/expected/grading-fail.jsonasset · 399 bytesfixtures/expected/grading-pass.jsonasset · 368 bytesfixtures/report-input.jsonasset · 2,739 bytesreport.htmlasset · 56,922 bytesreport.xmlasset · 1,043 bytesresult.jsonasset · 2,679 bytes
Read excerpt
# 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: