Laporan audit skill

Vectordb Recipes Laporan audit.

Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs

Ditinjau · TinjauPerlu ditinjauDihasilkan 14 Okt 2026Audit metadata heuristik
82
Audit
81
Kepercayaan
77
Kualitas
88
Keamanan
76
Maintain
92
Pasang

Trust Score OpenAgentSkill

81
Shortlist kuat

Trust Score OpenAgentSkill

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

Adopsi GitHub

Info

76

962 star GitHub

Aktivitas star/fork

Info

71

962 star dan 169 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Info

76

6 bulan sejak push

Kejelasan lisensi

Lulus

86

Apache-2.0

Kelengkapan README/SKILL.md

Lulus

100

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Lulus

82

database surface

Ketersediaan pemasangan

Lulus

92

npx skills add lancedb/vectordb-recipes

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Info

74

filesystem or document access, database access

Bukti repositori

Lulus

86

https://github.com/lancedb/vectordb-recipes

Status peninjauan

Lulus

88

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

8 Lulus · 7 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add lancedb/vectordb-recipes

Repositori

88

Lulus

https://github.com/lancedb/vectordb-recipes

Lisensi

86

Lulus

Apache-2.0

Pemeliharaan

76

Periksa

6 bulan sejak push

Tinjauan AI

88

Lulus

Approved with no listed issues

Kelengkapan README/SKILL.md

100

Lulus

Usable description available

Risiko dependensi

82

Lulus

database surface

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

74

Periksa

filesystem or document access, database access

Aktivitas star/fork

71

Periksa

962 star dan 169 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

88

Lulus

962 star GitHub

Financial decision safety

58

Periksa

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

Peringatan

  • Financial research output is not financial advice; require human review before any live investment decision
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review

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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