Skill audit report

Autoregressive Models In Vision Survey audit report.

[TMLR 2025馃敟] A survey for the autoregressive models in vision.

REVIEWEDREVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
83
Audit
80
Trust
75
Quality
88
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

80
Strong shortlist

Stars, maintenance, license, docs, dependency risk, and installability.

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

76

796 GitHub stars

Recent maintenance

PASS

88

1mo since push

License clarity

WARN

42

Unknown

README/SKILL.md completeness

INFO

74

Public metadata needs stronger README/SKILL.md context

Dependency risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add ChaofanTao/Autoregressive-Models-in-Vision-Survey

Repository evidence

PASS

86

https://github.com/ChaofanTao/Autoregressive-Models-in-Vision-Survey

Review status

PASS

88

AI review data available

Checks

Install and adoption review

7 passed 路 4 review

Install path

92

PASS

npx skills add ChaofanTao/Autoregressive-Models-in-Vision-Survey

Repository

88

PASS

https://github.com/ChaofanTao/Autoregressive-Models-in-Vision-Survey

License

45

CHECK

Unknown

Maintenance

88

PASS

1mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Adoption

88

PASS

796 GitHub stars

Warnings

  • License is unclear
  • Quality score needs review
  • License clarity: Unknown

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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