Star0

Skill audit report

DataScienceProjects audit report.

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

REVIEWED · REVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
87
Audit
85
Trust
81
Quality
89
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

85
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

816 GitHub stars

Recent maintenance

PASS

100

14d since push

License clarity

WARN

42

Unknown

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add tuangauss/DataScienceProjects

Repository evidence

PASS

86

https://github.com/tuangauss/DataScienceProjects

Review status

PASS

88

AI review data available

Checks

Install and adoption review

7 passed · 4 review

Install path

92

PASS

npx skills add tuangauss/DataScienceProjects

Repository

88

PASS

https://github.com/tuangauss/DataScienceProjects

License

45

CHECK

Unknown

Maintenance

100

PASS

14d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Adoption

88

PASS

816 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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