Skill audit report
hourly-rate-time Audit report.
当用户纠结时间分配、问「这个琐事/外包值不值」「怎么安排时间」「离财务自由还差什么」时调用。 核心理念: 给时间定一个高得离谱的时薪, 低于时薪的事外包或不做; 退休=不为想象中的明天牺牲今天; 不随收入升级生活方式。 不适用于: 需要享受慢节奏的时刻（休息/家庭时间按定义不是浪费）。 Triggers: 时薪/时间管理/外包/琐事/排队/财务自由/退休/hourly rate/delegate
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
PASS94
9.3K GitHub stars
Stars/forks activity
PASS93
9.3K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo 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 hourly-rate-time
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/benchmarks/naval/prototypes/compact-pack/hourly-rate-time
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add kangarooking/cangjie-skill --skill hourly-rate-time
Repository
88
https://github.com/kangarooking/cangjie-skill/tree/main/benchmarks/naval/prototypes/compact-pack/hourly-rate-time
License
86
MIT
Maintenance
88
2mo 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
- Quality score needs review
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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