Skill audit report

Cv Detect Robot audit report.

🔥🔥🔥🔥🔥🔥Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(高性能部署)

EXPERIMENTAL · REVIEWNeeds reviewGenerated Jun 16, 2026Heuristic metadata audit
67
Audit
74
Trust
54
Quality
96
Security
20
Maintain
92
Install

OpenAgentSkill Trust Score

74
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

541 GitHub stars

Recent maintenance

FAIL

22

4y since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

INFO

80

external package install surface

Install availability

PASS

92

npx skills add guojianyang/cv-detect-robot

Repository evidence

PASS

86

https://github.com/guojianyang/cv-detect-robot

Review status

PASS

88

AI review data available

Checks

Install and adoption review

7 passed · 5 review

Install path

92

PASS

npx skills add guojianyang/cv-detect-robot

Repository

88

PASS

https://github.com/guojianyang/cv-detect-robot

License

86

PASS

Apache-2.0

Maintenance

20

FIX

4y since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

80

PASS

external package install surface

Adoption

88

PASS

541 GitHub stars

Warnings

  • Repository appears stale
  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 4y since push

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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