Skill audit report

Chat Analytics audit report.

Generate interactive, beautiful and insightful chat analysis reports

EXPERIMENTAL · REVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
84
Audit
84
Trust
84
Quality
94
Security
62
Maintain
92
Install

OpenAgentSkill Trust Score

84
Strong shortlist

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

1.1K GitHub stars

Recent maintenance

INFO

62

8mo since push

License clarity

PASS

86

AGPL-3.0

README/SKILL.md completeness

INFO

74

Public metadata needs stronger README/SKILL.md context

Dependency risk

INFO

72

command execution surface

Install availability

PASS

92

npx skills add mlomb/chat-analytics

Repository evidence

PASS

86

https://github.com/mlomb/chat-analytics

Review status

PASS

88

AI review data available

Checks

Install and adoption review

6 passed · 3 review

Install path

92

PASS

npx skills add mlomb/chat-analytics

Repository

88

PASS

https://github.com/mlomb/chat-analytics

License

86

PASS

AGPL-3.0

Maintenance

62

CHECK

8mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

72

CHECK

command execution surface

Adoption

88

PASS

1.1K 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.

Compare nearby options

Related skills to audit next