Rapport d’audit du skill
build-ml-pipeline Rapport d’audit.
Declare the pipeline from data source to predictor as a **skrub DataOps graph** (not as a bare `sklearn.Pipeline`). Every step is either a pure-Python function (stateless) attached via `.skb.apply_func`, or a sklearn-compatible estimator (stateful) attached via `.skb.apply`. Stops at the declared object — no fit, split, tuning, persistence, or evaluation. TRIGGER — any of: - Writing or editing code that declares any link in the chain *data source → predictor*: loaders, preprocessing, encoders / imputers / scalers, feature steps, composition objects (`Pipeline`, `ColumnTransformer`, skrub `tabular_pipeline`, `nn.Module`), or the final estimator. - A pure-Python data-processing function destined for the pipeline path (cleans / derives / reshapes) — whether wrapped via `FunctionTransformer`, `skrub.@deferred` / `skrub.var`, a custom `BaseEstimator` subclass, or just called in the training path before the estimator. - A step is added, removed, swapped, or reordered inside an existing pipel
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
122 stars GitHub
Activité stars/forks
Avertissement51
122 stars et 8 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé88
1 mois depuis le dernier push
Clarté de licence
Validé86
BSD-3-Clause
Complétude README/SKILL.md
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Avertissement56
credential or environment access, network or browser surface
Disponibilité de l’installation
Validé92
npx skills add probabl-ai/skills --skill build-ml-pipeline
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/probabl-ai/skills/tree/main/skills/build-ml-pipeline
État de revue
Avertissement46
L’approbation de revue IA est absente
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 probabl-ai/skills --skill build-ml-pipeline
Dépôt
88
https://github.com/probabl-ai/skills/tree/main/skills/build-ml-pipeline
Licence
86
BSD-3-Clause
Maintenance
88
1 mois depuis le dernier push
Revue IA
55
Review approval is missing
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
56
credential or environment access, network or browser surface
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
51
122 stars et 8 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
122 stars GitHub
Avertissements
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- L’approbation de revue IA est absente
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 122 stars, 8 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: credential or environment access, network or browser surface
- Permission surface: secrets or environment access, shell or command execution
- Review status: AI review approval is missing
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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