Informe de auditoría del skill
build-ml-pipeline Informe de auditoría.
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 de OpenAgentSkill
Trust Score de OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adopción en GitHub
Info62
122 estrellas de GitHub
Actividad de stars/forks
Advertencia51
122 estrellas y 8 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
Aprobado88
1 meses desde el último push
Claridad de licencia
Aprobado86
BSD-3-Clause
Completitud de README/SKILL.md
Aprobado86
Los metadatos incluyen suficiente contexto de uso y flujo de trabajo
Riesgo de dependencias/runtime
Advertencia56
credential or environment access, network or browser surface
Disponibilidad de instalación
Aprobado92
npx skills add probabl-ai/skills --skill build-ml-pipeline
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Fallido18
secrets or environment access, shell or command execution
Evidencia del repositorio
Aprobado86
https://github.com/probabl-ai/skills/tree/main/skills/build-ml-pipeline
Estado de revisión
Advertencia46
Falta aprobación de revisión por IA
Resultados comprobados por Agent
Info54
Aún no hay datos de resultados del Agent
Comprobaciones
Revisión de instalación y adopción
Ruta de instalación
92
npx skills add probabl-ai/skills --skill build-ml-pipeline
Repositorio
88
https://github.com/probabl-ai/skills/tree/main/skills/build-ml-pipeline
Licencia
86
BSD-3-Clause
Mantenimiento
88
1 meses desde el último push
Revisión por IA
55
Review approval is missing
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
56
credential or environment access, network or browser surface
Seguridad del comando de instalación
92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
18
secrets or environment access, shell or command execution
Actividad de stars/forks
51
122 estrellas y 8 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
68
122 estrellas de GitHub
Advertencias
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Falta aprobación de revisión por IA
- 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
Método
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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