Rapport d’audit du skill
debug-slow-spark-job Rapport d’audit.
Diagnose slow, expensive, or regressed Apache Spark and PySpark applications by comparing runtime evidence against a healthy run. Use for long stages, stragglers, skew, shuffle, spill, garbage collection, poor parallelism, small files, slow scans, scheduler delay, executor imbalance, and unexplained compute-cost growth.
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
51 stars GitHub
Activité stars/forks
Avertissement48
51 stars et 13 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
Apache-2.0
Complétude README/SKILL.md
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Échoué38
command execution surface, credential or environment access
Disponibilité de l’installation
Validé92
npx skills add EmbrasureAI/spark-observability-skills --skill debug-slow-spark-job
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/EmbrasureAI/spark-observability-skills/tree/main/skills/debug-slow-spark-job
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 EmbrasureAI/spark-observability-skills --skill debug-slow-spark-job
Dépôt
88
https://github.com/EmbrasureAI/spark-observability-skills/tree/main/skills/debug-slow-spark-job
Licence
86
Apache-2.0
Maintenance
88
2 mois depuis le dernier push
Revue IA
55
SKILL.md says that when SPARK_HISTORY_URL is unset the agent should try localhost:18080/4040 and Spark config before asking the user, but spark_history_api.py only exits with 'Set --base-url or SPARK_HISTORY_URL'. The discovery behavior is described but not implemented in the script, so the agent must manually probe or pass --base-url to match the documented workflow.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
38
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
48
51 stars et 13 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
51 stars GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Avertissements
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- SKILL.md says that when SPARK_HISTORY_URL is unset the agent should try localhost:18080/4040 and Spark config before asking the user, but spark_history_api.py only exits with 'Set --base-url or SPARK_HISTORY_URL'. The discovery behavior is described but not implemented in the script, so the agent must manually probe or pass --base-url to match the documented workflow.
- The skill has no explicit Setup/Requirements section. It assumes Python 3, jq, network access to the history server, and the script directory as the working directory. These prerequisites should be stated directly in SKILL.md.
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 51 GitHub stars
- Stars/forks activity: 51 stars, 13 forks; issue activity unavailable in current metadata
- 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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