Skill audit report

ai-governance-checklist Audit report.

A Metabase AI-governance coach, covering the *controls and rollout* side of AI: who may use Metabot, what it can see, what it costs, where the model runs, and the audit trail. Use this skill whenever the user wants to roll out AI analytics safely, control who can use Metabot or what it can see, set spend or token limits on AI, restrict Metabot's system prompt, audit AI usage, evaluate bring-your-own model or self-hosting options for AI, or prep for a security review of AI features. Trigger it even if the user just says "how do we control AI access", "can we limit what Metabot sees", "we need an AI security review", or "run the AI governance checklist" in a Metabase context. **Not this skill** if the question is about whether the underlying data is modeled, documented, and trustworthy enough for AI — Transforms, metadata, the Glossary, Metrics, the Library — that's `ai-readiness-checklist`. Rough test: this skill is about who gets to point AI at the data; that one is about whether the d

BLOCKED · BLOCKNeeds reviewGenerated Nov 10, 2026Heuristic metadata audit
69
Audit
66
Trust
55
Quality
68
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

66
Manual review

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

WARN

48

42 GitHub stars

Stars/forks activity

WARN

43

42 stars, 3 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

3mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

FAIL

38

command execution surface, credential or environment access

Install availability

PASS

92

npx skills add metabase/agent-skills --skill ai-governance-checklist

Install command safety

PASS

92

standard package or runtime install path

Permission surface

FAIL

18

secrets or environment access, shell or command execution

Repository evidence

PASS

86

https://github.com/metabase/agent-skills/tree/main/skills/ai-governance-checklist

Review status

WARN

46

AI review approval is missing

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 18 Needs review

Install path

92

PASS

npx skills add metabase/agent-skills --skill ai-governance-checklist

Repository

88

PASS

https://github.com/metabase/agent-skills/tree/main/skills/ai-governance-checklist

License

86

PASS

MIT

Maintenance

88

PASS

3mo since push

AI review

55

CHECK

Review approval is missing

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

38

FIX

command execution surface, credential or environment access

Install command safety

92

PASS

standard package or runtime install path

Permission surface

18

FIX

secrets or environment access, shell or command execution

Stars/forks activity

43

FIX

42 stars, 3 forks; issue activity unavailable in current metadata

Adoption

42

CHECK

42 GitHub stars

Financial decision safety

58

CHECK

Research-only use: do not treat output as financial advice or execute a position without human approval.

Warnings

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Low GitHub adoption signal
  • AI review approval is missing
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 42 GitHub stars
  • Stars/forks activity: 42 stars, 3 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution

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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