Skill audit report

Big AGI audit report.

AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. Includes AI personas, AGI functions, world-class Beam multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.

VERIFIED · ALLOWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
97
Audit
96
Trust
100
Quality
96
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

96
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

PASS

94

7.0K GitHub stars

Recent maintenance

PASS

100

11d since push

License clarity

PASS

86

MIT

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 enricoros/big-AGI

Repository evidence

PASS

86

https://github.com/enricoros/big-AGI

Review status

PASS

88

AI review data available

Checks

Install and adoption review

8 passed · 0 review

Install path

92

PASS

npx skills add enricoros/big-AGI

Repository

88

PASS

https://github.com/enricoros/big-AGI

License

86

PASS

MIT

Maintenance

100

PASS

11d 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

7.0K 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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