Skill audit report
tdd Audit report.
测试驱动开发(TDD)指南，基于Kent Beck的《TDD By Example》。适用于：(1) 编写或规划代码测试，(2) 学习或应用TDD方法论，(3) 理解红-绿-重构等TDD模式和流程，(4) 创建测试框架或测试基础设施， (5) 在测试保护下进行重构，(6) 决定测试什么以及如何测试。涵盖TDD循环、核心模式（测试列表、测试先行、断言先行、红/绿/重构）、测试策略（隔离测试、测试数据、显式数据）和xUnit模式。
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
23 GitHub stars
Stars/forks activity
FAIL32
23 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add Onweekendd/ScreenWright --skill tdd
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
network or browser access
Repository evidence
PASS86
https://github.com/Onweekendd/ScreenWright/tree/main/.claude/skills/tdd
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add Onweekendd/ScreenWright --skill tdd
Repository
88
https://github.com/Onweekendd/ScreenWright/tree/main/.claude/skills/tdd
License
86
MIT
Maintenance
88
2mo since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
86
network or browser access
Stars/forks activity
32
23 stars, 0 forks; issue activity unavailable in current metadata
Adoption
42
23 GitHub stars
Warnings
- Low GitHub adoption signal
- AI review approval is missing
- Quality score needs review
- GitHub adoption: 23 GitHub stars
- Stars/forks activity: 23 stars, 0 forks; issue activity unavailable in current metadata
- Review status: AI review approval is missing
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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