Skill audit report
Verify a game with evidence on its selected target runtime. Launch the actual build and prove real rendering, input, the core loop, at least one designed outcome, restart, and explicit limitations without dressing subjective fun up as a certain verdict. Use for test a generated game, QA a game build, check whether the game is fully playable, or verify the build. 游戏证据化质量验证。在选定的目标运行环境中启动实际构建,证明真实渲染、输入、核心循环、至少一个设计结果、重开和明确限制,不把主观趣味包装成确定性结论。用于测试生成游戏、检查游戏能否完整游玩或验证构建。
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
786 GitHub stars
Stars/forks activity
INFO71
786 stars, 109 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
7d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add zenstory-ai/novel-to-game --skill game-qa
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO76
shell or command execution
Repository evidence
PASS86
https://github.com/zenstory-ai/novel-to-game/tree/main/skills/game-qa
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add zenstory-ai/novel-to-game --skill game-qa
Repository
88
https://github.com/zenstory-ai/novel-to-game/tree/main/skills/game-qa
License
86
MIT
Maintenance
100
7d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
76
shell or command execution
Stars/forks activity
71
786 stars, 109 forks; issue activity unavailable in current metadata
Adoption
88
786 GitHub stars
Warnings
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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