Skill audit report
去除中文文本中由人工智能生成的痕迹。在编辑或审阅通用中文，以及论文、学位论文、审稿回复、 基金申请等中文学术文本时使用，使文字更自然，同时保留事实、学术语体、论断与证据的关系。 本技能基于 op7418/humanizer-zh、blader/humanizer 与 AIScientists-Dev/academic-humanizer， 遵循“改写而非删除、等量覆盖”原则；学术体裁须加载专门 reference。
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
83 GitHub stars
Stars/forks activity
WARN43
83 stars, 2 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
16d 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 Hyacehila/humanizer-zh-next --skill humanizer-zh-next
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
network or browser access
Repository evidence
PASS86
https://github.com/Hyacehila/humanizer-zh-next/blob/main/SKILL.md
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add Hyacehila/humanizer-zh-next --skill humanizer-zh-next
Repository
88
https://github.com/Hyacehila/humanizer-zh-next/blob/main/SKILL.md
License
86
MIT
Maintenance
100
16d since push
AI review
88
Approved with no listed issues
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
43
83 stars, 2 forks; issue activity unavailable in current metadata
Adoption
68
83 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