Skill audit report
社会情感学习（SEL）专家系统——基于CASEL框架的完整知识体系与实践指南。 涵盖五大核心能力（自我意识/自我管理/社会意识/人际关系/负责任决策）、 课程设计、教学策略、评估工具及全球本土化实践。 触发词：「SEL」「社会情感学习」「情绪教育」「CASEL」「社交技能训练」 适用场景：教育工作者、家长、学校管理者、教育研究者
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
588 GitHub stars
Stars/forks activity
INFO71
588 stars, 79 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
6d 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 momozi1996/awesome-ai-persona-skills --skill sel-social-emotional-learning
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/momozi1996/awesome-ai-persona-skills/tree/main/EQ/sel-social-emotional-learning-skill
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add momozi1996/awesome-ai-persona-skills --skill sel-social-emotional-learning
Repository
88
https://github.com/momozi1996/awesome-ai-persona-skills/tree/main/EQ/sel-social-emotional-learning-skill
License
86
MIT
Maintenance
100
6d 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
588 stars, 79 forks; issue activity unavailable in current metadata
Adoption
88
588 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
Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.
16K Stars · Audit report
Applies Cursor's prose-discipline rules to remove filler and AI writing tells from agent-facing and user-facing text.
4.8K Stars · Audit report
Rewrites AI-sounding text so it reads naturally while preserving every factual claim and matching the writer's voice.
37K Stars · Audit report