Laporan audit skill

ontology-bootstrap Laporan audit.

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".

Eksperimental · TinjauPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
69
Audit
63
Kepercayaan
56
Kualitas
70
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

63
Tinjauan manual

Trust Score OpenAgentSkill

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

Adopsi GitHub

Gagal

30

3 star GitHub

Aktivitas star/fork

Gagal

32

3 star dan 0 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

1 bulan sejak push

Kejelasan lisensi

Lulus

86

MIT

Kelengkapan README/SKILL.md

Lulus

86

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Peringatan

46

command execution surface, external package install surface

Ketersediaan pemasangan

Lulus

92

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

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

36

shell or command execution, filesystem or document access

Bukti repositori

Lulus

86

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

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

6 Lulus · 15 Perlu ditinjau

Jalur pemasangan

92

Lulus

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

Repositori

88

Lulus

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

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

55

Periksa

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.

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

46

Perbaiki

command execution surface, external package install surface

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

36

Perbaiki

shell or command execution, filesystem or document access

Aktivitas star/fork

32

Perbaiki

3 star dan 0 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

42

Periksa

3 star GitHub

Peringatan

  • 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

Metode

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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