Skill audit report

Datapackage audit report.

Data Package is a standard consisting of a set of simple yet extensible specifications to describe datasets, data files and tabular data. It is a data definition language (DDL) and data API that facilitates findability, accessibility, interoperability, and reusability (FAIR) of data.

REVIEWED · REVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
87
Audit
86
Trust
79
Quality
96
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

86
Production candidate

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

574 GitHub stars

Recent maintenance

PASS

88

1mo since push

License clarity

PASS

86

Unlicense

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

PASS

82

network or browser surface

Install availability

PASS

92

npx skills add frictionlessdata/datapackage

Repository evidence

PASS

86

https://github.com/frictionlessdata/datapackage

Review status

PASS

88

AI review data available

Checks

Install and adoption review

8 passed · 1 review

Install path

92

PASS

npx skills add frictionlessdata/datapackage

Repository

88

PASS

https://github.com/frictionlessdata/datapackage

License

86

PASS

Unlicense

Maintenance

88

PASS

1mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

82

PASS

network or browser surface

Adoption

88

PASS

574 GitHub stars

Warnings

  • Quality score needs review

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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