Rapport d’audit du skill
multiview-fit-loop Rapport d’audit.
Closed-loop compare-adjust-repeat workflow for fitting Blender models to supplied front/side/back/top templates and originals. Use when the user asks to compare the product to templates/originals and adjust until it fits across all dimensions, or when all views must pass measurable bbox/centroid/silhouette/edge validation before export.
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
26 stars GitHub
Activité stars/forks
Avertissement43
26 stars et 0 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé88
2 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
Info72
Surface d’exécution de commandes
Disponibilité de l’installation
Validé92
npx skills add CheshireJCat/blender --skill multiview-fit-loop
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Info62
shell or command execution, filesystem or document access
Preuve du dépôt
Validé86
https://github.com/CheshireJCat/blender/tree/main/skills/create-3d-model/references/modules/multiview-fit-loop
État de revue
Info66
Données de revue IA disponibles
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 CheshireJCat/blender --skill multiview-fit-loop
Dépôt
88
https://github.com/CheshireJCat/blender/tree/main/skills/create-3d-model/references/modules/multiview-fit-loop
Licence
86
MIT
Maintenance
88
2 mois depuis le dernier push
Revue IA
55
SKILL.md lacks setup/installation instructions and a concrete CLI example for running scripts/multiview_fit_report.py; dependencies such as OpenCV and NumPy are not mentioned.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
72
Surface d’exécution de commandes
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
62
shell or command execution, filesystem or document access
Activité stars/forks
43
26 stars et 0 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
42
26 stars GitHub
Avertissements
- SKILL.md lacks setup/installation instructions and a concrete CLI example for running scripts/multiview_fit_report.py; dependencies such as OpenCV and NumPy are not mentioned.
- The hard gates in SKILL.md specify stricter front-view bbox size tolerance (3%) versus side/top/back (5%), but the script only implements a uniform 5% pass gate.
- The script's summary can report all views passing even when only one view was supplied, because it does not enforce that every required view is present.
- Allowed-tools lists blender_scene_info twice, which is a minor metadata inconsistency.
- The constraint inconsistency gate is described in SKILL.md but is not automated or checked by the provided script; it remains a manual process.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 26 GitHub stars
- Stars/forks activity: 26 stars, 0 forks; issue activity unavailable in current metadata
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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