Rapport d’audit du skill
data-analysis Rapport d’audit.
Use when the user wants an iterative, self-checking exploratory analysis of a dataset — surfacing findings that are each verified by re-running the computation, not asserted. Proposes one specific hypothesis at a time, writes and runs analysis code to test it, and records the finding only if the numbers support it at a meaningful effect size; loops until no new verified finding appears or the budget is hit. The result is a findings report where every claim is backed by a reproducible number. Not for diagnosing a single known anomaly or pipeline failure, and not for verifying an external claim against sources (that is a claim-verification task) — this is open-ended discovery over a bound dataset.
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
Info62
163 stars GitHub
Activité stars/forks
Avertissement57
163 stars et 19 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Info76
3 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
Info62
credential or environment access, external package install surface
Disponibilité de l’installation
Validé92
npx skills add gaasher/Agent-Loop-Skills --skill data-analysis
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Avertissement60
secrets or environment access, filesystem or document access
Preuve du dépôt
Validé86
https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/data-analysis
État de revue
Validé88
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 gaasher/Agent-Loop-Skills --skill data-analysis
Dépôt
88
https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/data-analysis
Licence
86
MIT
Maintenance
76
3 mois depuis le dernier push
Revue IA
88
Approved with no listed issues
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
62
credential or environment access, external package install surface
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
60
secrets or environment access, filesystem or document access
Activité stars/forks
57
163 stars et 19 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
163 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
- 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, filesystem or document access
- Stars/forks activity: 163 stars, 19 forks; issue activity unavailable in current metadata
- Permission surface: secrets or environment access, filesystem or document access
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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