Skill audit report

ai-adaptive-learning-master 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」

REVIEWED · REVIEWNeeds reviewGenerated Nov 7, 2026Heuristic metadata audit
80
Audit
80
Trust
65
Quality
88
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

80
Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

62

128 GitHub stars

Stars/forks activity

WARN

57

128 stars, 11 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add swaylq/master-skill --skill ai-adaptive-learning-master

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

100

no high-risk permission surface in public metadata

Repository evidence

PASS

86

https://github.com/swaylq/master-skill/tree/main/prototypes/china-law-master/output

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

9 Passed · 3 Needs review

Install path

92

PASS

npx skills add swaylq/master-skill --skill ai-adaptive-learning-master

Repository

88

PASS

https://github.com/swaylq/master-skill/tree/main/prototypes/china-law-master/output

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Install command safety

92

PASS

standard package or runtime install path

Permission surface

100

PASS

no high-risk permission surface in public metadata

Stars/forks activity

57

FIX

128 stars, 11 forks; issue activity unavailable in current metadata

Adoption

68

INFO

128 GitHub stars

Warnings

  • Quality score needs review
  • Stars/forks activity: 128 stars, 11 forks; issue activity unavailable in current metadata

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

Related skills to audit next