Laporan audit skill

lance Laporan audit.

Design, index, query, and tune Lance datasets and LanceDB tables for ML and AI workloads. Use for vector index selection such as IVF_PQ or IVF_HNSW_FLAT, ANN recall and latency tuning, full-text and hybrid search, scalar indexes and prefiltering, dataset versioning and compaction, embedding and multimodal storage, slow vector search on object storage, or migrating ML data from Parquet. Covers both the pylance format and the lancedb API.

Eksperimental · TinjauPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
70
Audit
69
Kepercayaan
51
Kualitas
72
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

69
Tinjauan manual

Trust Score OpenAgentSkill

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

Adopsi GitHub

Peringatan

48

38 star GitHub

Aktivitas star/fork

Peringatan

43

38 star dan 4 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

3 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

56

credential or environment access, network or browser surface

Ketersediaan pemasangan

Lulus

92

npx skills add gordonmurray/data-engineering-skills --skill lance

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

34

secrets or environment access, filesystem or document access

Bukti repositori

Lulus

86

https://github.com/gordonmurray/data-engineering-skills/tree/main/lance

Status peninjauan

Peringatan

46

Persetujuan tinjauan AI belum ada

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

6 Lulus · 16 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add gordonmurray/data-engineering-skills --skill lance

Repositori

88

Lulus

https://github.com/gordonmurray/data-engineering-skills/tree/main/lance

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

3 bulan sejak push

Tinjauan AI

55

Periksa

Review approval is missing

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

56

Perbaiki

credential or environment access, network or browser surface

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

34

Perbaiki

secrets or environment access, filesystem or document access

Aktivitas star/fork

43

Perbaiki

38 star dan 4 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

42

Periksa

38 star GitHub

Peringatan

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Low GitHub adoption signal
  • Persetujuan tinjauan AI belum ada
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, filesystem or document access
  • GitHub adoption: 38 GitHub stars
  • Stars/forks activity: 38 stars, 4 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: credential or environment access, network or browser surface
  • Permission surface: secrets or environment access, filesystem or document access
  • Review status: AI review approval is missing

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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