Skill audit report
AI自适应学习 (AI Adaptive Learning) Master OS — automated mastery of AI Adaptive Learning: top builders' mental models, tool stack, current workflows, jargon, and where to keep up. Trigger this skill when the user works on AI Adaptive Learning problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词：「自适应学习」「智能诊断」「自适应题库」「学习路径规划」「知识追踪」
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
128 GitHub stars
Stars/forks activity
WARN57
128 stars, 11 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
11d 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 swaylq/master-skill --skill ai-adaptive-learning-master
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/swaylq/master-skill/tree/main/prototypes/china-law-master/output
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add swaylq/master-skill --skill ai-adaptive-learning-master
Repository
88
https://github.com/swaylq/master-skill/tree/main/prototypes/china-law-master/output
License
86
MIT
Maintenance
100
11d since push
AI review
88
Approved with no listed issues
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
57
128 stars, 11 forks; issue activity unavailable in current metadata
Adoption
68
128 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.