Rapport d’audit du skill
lance Rapport d’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.
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adoption GitHub
Avertissement48
38 stars GitHub
Activité stars/forks
Avertissement43
38 stars et 4 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé88
3 mois depuis le dernier push
Clarté de licence
Validé86
MIT
Complétude README/SKILL.md
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Avertissement56
credential or environment access, network or browser surface
Disponibilité de l’installation
Validé92
npx skills add gordonmurray/data-engineering-skills --skill lance
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Échoué34
secrets or environment access, filesystem or document access
Preuve du dépôt
Validé86
https://github.com/gordonmurray/data-engineering-skills/tree/main/lance
État de revue
Avertissement46
L’approbation de revue IA est absente
Résultats prouvés par Agent
Info54
Pas encore de données de résultats Agent
Vérifications
Revue d’installation et d’adoption
Chemin d’installation
92
npx skills add gordonmurray/data-engineering-skills --skill lance
Dépôt
88
https://github.com/gordonmurray/data-engineering-skills/tree/main/lance
Licence
86
MIT
Maintenance
88
3 mois depuis le dernier push
Revue IA
55
Review approval is missing
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
56
credential or environment access, network or browser surface
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
34
secrets or environment access, filesystem or document access
Activité stars/forks
43
38 stars et 4 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
42
38 stars GitHub
Avertissements
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Low GitHub adoption signal
- L’approbation de revue IA est absente
- 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
Méthode
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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