OpenAgentSkill
GitHub200+

Rapport d’audit du skill

dbt-agent-readiness Rapport d’audit.

Audit a dbt project for agent-readiness: what would an AI agent get wrong if you pointed it at this data today? Produces a prioritized report organized by failure modes (wrong numbers, wrong table, wrong column, can't join, query fails). Scales via two-pass architecture with parallel subagents. Each subagent reads its own phase instruction file, keeping context tight. Use when asked to "audit", "agent-readiness", "scan dbt project", "check data quality", "how ready is my data for AI agents", or "run dbt-agent-readiness."

Bloqué · BloquerRevue nécessaireGénéré 13 oct. 2026Audit heuristique des métadonnées
69
Audit
57
Confiance
62
Qualité
69
Sécurité
88
Maintain
92
Installer

Trust Score OpenAgentSkill

57
Revue approfondie requise

Trust Score OpenAgentSkill

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

Adoption GitHub

Échoué

30

11 stars GitHub

Activité stars/forks

Échoué

32

11 stars et 0 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles

Maintenance récente

Validé

88

2 mois depuis le dernier push

Clarté de licence

Validé

86

MIT

Complétude README/SKILL.md

Validé

86

Les métadonnées incluent suffisamment de contexte d’usage et de workflow

Risque dépendances/runtime

Avertissement

46

command execution surface, credential or environment access

Disponibilité de l’installation

Validé

92

npx skills add GetCassis/dbt-agent-readiness --skill dbt-agent-readiness

Sécurité de la commande d’installation

Validé

92

Chemin d’installation standard de package ou runtime

Surface de permissions

Échoué

24

secrets or environment access, shell or command execution

Preuve du dépôt

Validé

86

https://github.com/GetCassis/dbt-agent-readiness/blob/main/SKILL.md

État de revue

Info

66

Données de revue IA disponibles

Résultats prouvés par Agent

Info

54

Pas encore de données de résultats Agent

Vérifications

Revue d’installation et d’adoption

6 Validé · 18 Revue nécessaire

Chemin d’installation

92

Validé

npx skills add GetCassis/dbt-agent-readiness --skill dbt-agent-readiness

Dépôt

88

Validé

https://github.com/GetCassis/dbt-agent-readiness/blob/main/SKILL.md

Licence

86

Validé

MIT

Maintenance

88

Validé

2 mois depuis le dernier push

Revue IA

55

Vérifier

The SKILL.md is very long and dense; an agent might struggle to parse all instructions in a single context window, potentially leading to missed details.

Complétude README/SKILL.md

86

Validé

Usable description available

Risque de dépendances

46

Corriger

command execution surface, credential or environment access

Sécurité de la commande d’installation

92

Validé

Chemin d’installation standard de package ou runtime

Surface de permissions

24

Corriger

secrets or environment access, shell or command execution

Activité stars/forks

32

Corriger

11 stars et 0 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles

Adoption

42

Vérifier

11 stars GitHub

Financial decision safety

58

Vérifier

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
  • The SKILL.md is very long and dense; an agent might struggle to parse all instructions in a single context window, potentially leading to missed details.
  • The skill depends on external tools (dbt, sqlglot) and a proper dbt project structure; the SKILL.md does not explicitly state these prerequisites or how to handle missing dependencies.
  • The two-pass architecture with parallel subagents adds complexity; if not orchestrated carefully, subagents might produce inconsistent outputs or fail to follow the strict JSON output format.
  • Low GitHub adoption signal
  • 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: 11 GitHub stars
  • Stars/forks activity: 11 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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