Skill audit report
陪伴型 AI 人设生成与优化流程。当用户想给 Hermes Agent（或任意 AI 陪伴角色）做一个"有感情、聊久不掉、像真人"的人设时使用。通过"定调子 → 名字 → 外形 → 性格 → 背景 → 关系 → 说话节奏 → 生成 SOUL.md → 迭代"的结构化对话，从一句模糊想法（如"我想要个JK女友""年上男友""高冷御姐"）产出可直接贴进 Hermes SOUL.md 的第一人称人设文本。支持女友/男友/各种气质的陪伴角色，并让用户选择"一句一句发"还是"整段说"的输出风格。当用户说"做个人设/捏个AI女友男友/给Hermes弄个角色/优化人设/换个人设"时触发。
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
752 GitHub stars
Stars/forks activity
INFO71
752 stars, 107 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
29d 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 yunshu0909/yunshu_skillshub --skill hermes-persona-builder
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/yunshu0909/yunshu_skillshub/tree/master/hermes-persona-builder
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add yunshu0909/yunshu_skillshub --skill hermes-persona-builder
Repository
88
https://github.com/yunshu0909/yunshu_skillshub/tree/master/hermes-persona-builder
License
86
MIT
Maintenance
100
29d 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
71
752 stars, 107 forks; issue activity unavailable in current metadata
Adoption
88
752 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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