Skill audit report

Ade Python audit report.

Python library for Agentic Document Extraction (ADE).

VERIFIED · ALLOWSafe to tryGenerated Jun 19, 2026Heuristic metadata audit
95
Audit
92
Trust
100
Quality
88
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

92
Production candidate

Stars, maintenance, license, docs, install safety, permission surface, 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

PASS

86

1.0K GitHub stars

Stars/forks activity

INFO

77

1.0K stars, 162 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

20d since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

INFO

74

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add landing-ai/ade-python

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

86

filesystem or document access

Repository evidence

PASS

86

https://github.com/landing-ai/ade-python

Review status

PASS

88

AI review data available

Checks

Install and adoption review

10 passed · 1 review

Install path

92

PASS

npx skills add landing-ai/ade-python

Repository

88

PASS

https://github.com/landing-ai/ade-python

License

86

PASS

Apache-2.0

Maintenance

100

PASS

20d 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

Install command safety

92

PASS

standard package or runtime install path

Permission surface

86

PASS

filesystem or document access

Stars/forks activity

77

CHECK

1.0K stars, 162 forks; issue activity unavailable in current metadata

Adoption

88

PASS

1.0K GitHub stars

Warnings

No major warnings detected from available 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.

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