Skill audit report

ontology-bootstrap Audit report.

Assemble a reviewable first version of an analytics agent's context from what a data stack already has: a warehouse schema export, a dbt project, docs, dashboards, query logs. Produces a Cassis ontology tree (domain READMEs, table and metric YAML, joins) with the evidence behind every claim attached and unresolved meaning filed as questions. Scripts do everything the inputs determine; the user decides at four checkpoints. Runs fully offline: no account, no key, no network. Optional dbt write-back merges descriptions into the project's own schema.yml files without overwriting anything already there. Use when asked to "bootstrap an ontology", "build context for an analytics agent", "document the warehouse for AI", "turn our dbt project into an ontology", or "make our data agent-ready".

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 10, 2026Heuristic metadata audit
69
Audit
63
Trust
56
Quality
70
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

63
Manual review

OpenAgentSkill Trust Score

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

GitHub adoption

FAIL

30

3 GitHub stars

Stars/forks activity

FAIL

32

3 stars, 0 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

WARN

46

command execution surface, external package install surface

Install availability

PASS

92

npx skills add GetCassis/ontology-bootstrap --skill ontology-bootstrap

Install command safety

PASS

92

standard package or runtime install path

Permission surface

FAIL

36

shell or command execution, filesystem or document access

Repository evidence

PASS

86

https://github.com/GetCassis/ontology-bootstrap/blob/main/SKILL.md

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 15 Needs review

Install path

92

PASS

npx skills add GetCassis/ontology-bootstrap --skill ontology-bootstrap

Repository

88

PASS

https://github.com/GetCassis/ontology-bootstrap/blob/main/SKILL.md

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

The SKILL.md references CLAUDE.md and README.md as essential operating documents, but these are not included in the excerpt. While they are part of the repository, the skill's completeness depends on them being present and accurate.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

46

FIX

command execution surface, external package install surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

36

FIX

shell or command execution, filesystem or document access

Stars/forks activity

32

FIX

3 stars, 0 forks; issue activity unavailable in current metadata

Adoption

42

CHECK

3 GitHub stars

Warnings

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • The SKILL.md references CLAUDE.md and README.md as essential operating documents, but these are not included in the excerpt. While they are part of the repository, the skill's completeness depends on them being present and accurate.
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • GitHub adoption: 3 GitHub stars
  • Stars/forks activity: 3 stars, 0 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, external package install surface
  • Permission surface: shell or command execution, filesystem or document access

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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