Skill audit report

BotSharp audit report.

AI Multi-Agent Framework in .NET

REVIEWED · REVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
95
Audit
89
Trust
100
Quality
96
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

PASS

86

3.1K GitHub stars

Recent maintenance

PASS

100

4d since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

WARN

50

Public metadata needs stronger README/SKILL.md context

Dependency risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add SciSharp/BotSharp

Repository evidence

PASS

86

https://github.com/SciSharp/BotSharp

Review status

PASS

88

AI review data available

Checks

Install and adoption review

8 passed · 2 review

Install path

92

PASS

npx skills add SciSharp/BotSharp

Repository

88

PASS

https://github.com/SciSharp/BotSharp

License

86

PASS

Apache-2.0

Maintenance

100

PASS

4d 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

Adoption

88

PASS

3.1K GitHub stars

Warnings

  • Documentation summary is thin
  • README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context

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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