Informe de auditoría del skill
data-science-python-stack Informe de auditoría.
Opinionated Python stack for data-science / ML work — one library per job, organized into tiers (mandatory / user choice / optional / transitive). SKILL.md is the index; per-library `references/<library>.md` files carry scope, "pick this when" / "pick something else when", and pairings. TRIGGER when (any of these): (1) **a library import fails** in this stack's domain — the answer is install, not substitute (see § "Missing dependency"); (2) **a library choice has to be made** — explicitly (the user asks "which library for X?") or implicitly (code is about to introduce a new dependency, or the project is being scaffolded and the tabular library hasn't been picked yet); (3) starting a new Python data-science / ML project; (4) the user or current code reaches for a substitute outside the stack (xgboost, lightgbm, black, isort, flake8, poetry, hatch), or reaches for `mlflow` to log params/metrics, or for `cross_val_score` + handwritten reporting — redirect: tracking → `skore` Project API,
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
Info64
credential or environment access, network or browser surface
Disponibilidad de instalación
Aprobado92
npx skills add probabl-ai/skills --skill data-science-python-stack
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Fallido22
secrets or environment access, shell or command execution
Evidencia del repositorio
Aprobado86
https://github.com/probabl-ai/skills/tree/main/skills/data-science-python-stack
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 data-science-python-stack
Repositorio
88
https://github.com/probabl-ai/skills/tree/main/skills/data-science-python-stack
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
64
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
22
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
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Advertencias
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- Falta aprobación de revisión por IA
- 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
- Stars/forks activity: 122 stars, 8 forks; issue activity unavailable in current metadata
- 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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