Rapport d’audit du skill
point-cloud-lidar Rapport d’audit.
LiDAR and point cloud processing: PDAL pipelines, LAS/LAZ/COPC handling, ground classification, DTM/DSM/CHM generation, canopy and building metrics, and photogrammetric (SfM) point clouds. Use when the primary input is LAS, LAZ, COPC, LiDAR, or an unstructured 3D point cloud. This skill owns vertical datum agreement, co-registration and the vertical-accuracy budget when two acquisitions are differenced with comparability not yet established; once datum, geoid and accuracy are documented, a subsidence or elevation-change question is change-detection's. Route a derived DEM, DTM, DSM or CHM to terrain-hydrology unless point-level classification, comparability, or metrics remain in scope.
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
Échoué30
22 stars GitHub
Activité stars/forks
Échoué32
22 stars et 1 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé88
1 mois depuis le dernier push
Clarté de licence
Validé86
MIT
Complétude README/SKILL.md
Info76
Les métadonnées publiques nécessitent davantage de contexte README/SKILL.md
Risque dépendances/runtime
Info64
command execution surface, network or browser surface
Disponibilité de l’installation
Validé92
npx skills add muend/geoai-skills --skill point-cloud-lidar
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Avertissement48
shell or command execution, filesystem or document access
Preuve du dépôt
Validé86
https://github.com/muend/geoai-skills/tree/main/skills/point-cloud-lidar
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 muend/geoai-skills --skill point-cloud-lidar
Dépôt
88
https://github.com/muend/geoai-skills/tree/main/skills/point-cloud-lidar
Licence
86
MIT
Maintenance
88
1 mois depuis le dernier push
Revue IA
55
Review approval is missing
Complétude README/SKILL.md
84
Usable description available
Risque de dépendances
64
command execution surface, network or browser surface
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
48
shell or command execution, filesystem or document access
Activité stars/forks
32
22 stars et 1 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
42
22 stars GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Avertissements
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- Low GitHub adoption signal
- L’approbation de revue IA est absente
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 22 GitHub stars
- Stars/forks activity: 22 stars, 1 forks; issue activity unavailable in current metadata
- Permission surface: shell or command execution, 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.
Comparer les options proches