Skill audit report

Franklin audit report.

The AI agent with a wallet — spends USDC autonomously to get real work done. Apache-2.0, TypeScript.

REVIEWED · REVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
91
Audit
89
Trust
85
Quality
97
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

89
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

627 GitHub stars

Recent maintenance

PASS

100

Pushed today

License clarity

PASS

86

Apache-2.0

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 BlockRunAI/Franklin

Repository evidence

PASS

86

https://github.com/BlockRunAI/Franklin

Review status

PASS

88

AI review data available

Checks

Install and adoption review

8 passed · 1 review

Install path

92

PASS

npx skills add BlockRunAI/Franklin

Repository

88

PASS

https://github.com/BlockRunAI/Franklin

License

86

PASS

Apache-2.0

Maintenance

100

PASS

Pushed today

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

627 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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