Rapport d’audit du skill
executing-spark Rapport d’audit.
Execute arbitrary Python or PySpark code on Fabric Spark compute without creating a notebook artifact; ephemeral Livy sessions with full Delta table access. Automatically invoke when the user asks to "run PySpark in Fabric", "create a Livy session", "execute Python on Fabric compute", "run Spark without a notebook", "submit code to Fabric", "ephemeral Spark execution", "run ETL in Fabric".
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
Info76
893 stars GitHub
Activité stars/forks
Info71
893 stars et 131 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
GPL-3.0
Complétude README/SKILL.md
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Échoué28
command execution surface, credential or environment access
Disponibilité de l’installation
Validé92
npx skills add data-goblin/power-bi-agentic-development --skill executing-spark
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Échoué18
secrets or environment access, shell or command execution
Preuve du dépôt
Validé86
https://github.com/data-goblin/power-bi-agentic-development/tree/main/plugins/etl/skills/executing-spark
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 data-goblin/power-bi-agentic-development --skill executing-spark
Dépôt
88
https://github.com/data-goblin/power-bi-agentic-development/tree/main/plugins/etl/skills/executing-spark
Licence
86
GPL-3.0
Maintenance
88
2 mois depuis le dernier push
Revue IA
55
The skill relies on the Azure CLI being installed and authenticated, which is a prerequisite but not always available in agent environments.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
28
command execution surface, credential or environment access
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
18
secrets or environment access, shell or command execution
Activité stars/forks
71
893 stars et 131 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
88
893 stars GitHub
Avertissements
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The skill relies on the Azure CLI being installed and authenticated, which is a prerequisite but not always available in agent environments.
- The SKILL.md does not explicitly mention that the agent should verify the user's intent before executing arbitrary code, though this is implied by the skill's purpose.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
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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