Skill audit report
当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定（如何赢下某个比赛）。 Triggers: 地位/攀比/内卷/妒忌/别人怎么看我/零和/单人游戏/status game/envy
OpenAgentSkill Trust Score
Skill audit report
当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定（如何赢下某个比赛）。 Triggers: 地位/攀比/内卷/妒忌/别人怎么看我/零和/单人游戏/status game/envy
OpenAgentSkill Trust Score
Skill audit report
当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定（如何赢下某个比赛）。 Triggers: 地位/攀比/内卷/妒忌/别人怎么看我/零和/单人游戏/status game/envy
OpenAgentSkill Trust Score
Skill audit report
当用户困惑「为什么有人攻击我/为什么大家卷来卷去/我怎么不在乎别人眼光/为什么妒忌」时调用。 核心理念: 人生同时存在零和地位游戏、正和财富游戏、单人游戏; 识别你玩的是哪种游戏, 避免地位游戏, 回到内在记分卡。 不适用于: 具体竞争策略制定（如何赢下某个比赛）。 Triggers: 地位/攀比/内卷/妒忌/别人怎么看我/零和/单人游戏/status game/envy
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS94
9.3K GitHub stars
Stars/forks activity
PASS93
9.3K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
7d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS84
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add kangarooking/cangjie-skill --skill game-selection
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/kangarooking/cangjie-skill/tree/main/books/naval-almanack-skill/game-selection
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add kangarooking/cangjie-skill --skill game-selection
Repository
88
https://github.com/kangarooking/cangjie-skill/tree/main/books/naval-almanack-skill/game-selection
License
86
MIT
Maintenance
100
7d since push
AI review
88
Approved with no listed issues
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
100
no high-risk permission surface in public metadata
Stars/forks activity
93
9.3K stars, 1.1K forks; issue activity unavailable in current metadata
Adoption
88
9.3K 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.
Compare nearby options
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS94
9.3K GitHub stars
Stars/forks activity
PASS93
9.3K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
7d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS84
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add kangarooking/cangjie-skill --skill game-selection
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/kangarooking/cangjie-skill/tree/main/books/naval-almanack-skill/game-selection
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add kangarooking/cangjie-skill --skill game-selection
Repository
88
https://github.com/kangarooking/cangjie-skill/tree/main/books/naval-almanack-skill/game-selection
License
86
MIT
Maintenance
100
7d since push
AI review
88
Approved with no listed issues
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
100
no high-risk permission surface in public metadata
Stars/forks activity
93
9.3K stars, 1.1K forks; issue activity unavailable in current metadata
Adoption
88
9.3K 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.
Compare nearby options
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS94
9.3K GitHub stars
Stars/forks activity
PASS93
9.3K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
7d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS84
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add kangarooking/cangjie-skill --skill game-selection
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/kangarooking/cangjie-skill/tree/main/books/naval-almanack-skill/game-selection
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add kangarooking/cangjie-skill --skill game-selection
Repository
88
https://github.com/kangarooking/cangjie-skill/tree/main/books/naval-almanack-skill/game-selection
License
86
MIT
Maintenance
100
7d since push
AI review
88
Approved with no listed issues
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
100
no high-risk permission surface in public metadata
Stars/forks activity
93
9.3K stars, 1.1K forks; issue activity unavailable in current metadata
Adoption
88
9.3K 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.
Compare nearby options
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS94
9.3K GitHub stars
Stars/forks activity
PASS93
9.3K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
7d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS84
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add kangarooking/cangjie-skill --skill game-selection
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/kangarooking/cangjie-skill/tree/main/books/naval-almanack-skill/game-selection
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add kangarooking/cangjie-skill --skill game-selection
Repository
88
https://github.com/kangarooking/cangjie-skill/tree/main/books/naval-almanack-skill/game-selection
License
86
MIT
Maintenance
100
7d since push
AI review
88
Approved with no listed issues
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
100
no high-risk permission surface in public metadata
Stars/forks activity
93
9.3K stars, 1.1K forks; issue activity unavailable in current metadata
Adoption
88
9.3K 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.
Compare nearby options