Skill audit report
【L1 声音真实度】AI味检测与消除——只处理「像不像真人」。19种AI味模式识别，根据严重程度选策略。默认只诊断不改，改写要用户确认。三种改写方式：自动替换、追问驱动、混合。可接收 voice-dissolver 声音清单作为保护区。 触发：AI味、像机器写的、太正式、读起来假、去AI味、AI感太重、像ChatGPT写的、太模板化、语气太标准、缺乏个性、AI腔、读起来没温度、句式太整齐、总结陈词、翻译腔、不说人话、套路化。 Not for：内容质量不够但没AI味（→ L0 chinese-write-checker）、结构冗余/废话多（→ L2 editor-revisor）、找不到自己声音（→ voice-dissolver）、排版/标点/标题（→ L3 packaging-workshop）。
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
65 GitHub stars
Stars/forks activity
WARN43
65 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
22d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
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 taxueseek/say-it-human --skill humanize-ai
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/taxueseek/say-it-human/tree/main/skills/humanize-ai
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add taxueseek/say-it-human --skill humanize-ai
Repository
88
https://github.com/taxueseek/say-it-human/tree/main/skills/humanize-ai
License
86
MIT
Maintenance
100
22d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
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
43
65 stars, 3 forks; issue activity unavailable in current metadata
Adoption
68
65 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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