Informe de auditoría del skill

python-env-manager Informe de auditoría.

Single source of truth for "which Python environment manager does this project use, and how do I install a package with it?". Owns the detection table (pixi / uv / poetry / hatch / conda+mamba / pip+venv), the install / remove / upgrade commands per manager, and the bootstrap path when no manager is in place (default recommendation: pixi). Stops at "the install command was issued with the right manager and the package is importable". TRIGGER when (any of these): (1) **about to install / add / pin / upgrade / remove a Python package** — `pip install`, `pixi add`, `uv add`, `poetry add`, `conda install`, etc. — under any framing; (2) `data-science-python-stack` § "Missing dependency" surfaced a missing import and an install is the next step; (3) a workflow skill's Stop condition fired on a missing dependency (`build-ml-pipeline`, `evaluate-ml-pipeline`, `organize-ml-workspace`, `audit-ml-pipeline`); (4) starting a new Python project and no manager is in place yet (bootstrap with pixi unl

Bloqueado · BloquearRequiere revisiónGenerado 11 oct 2026Auditoría heurística de metadatos
72
Auditoría
65
Confianza
65
Calidad
71
Seguridad
88
Maintain
92
Instalar

Trust Score de OpenAgentSkill

65
Revisión manual

Trust Score de OpenAgentSkill

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

Adopción en GitHub

Info

62

119 estrellas de GitHub

Actividad de stars/forks

Advertencia

51

119 estrellas y 7 forks; la actividad de issues no está disponible en los metadatos actuales

Mantenimiento reciente

Aprobado

88

2 meses desde el último push

Claridad de licencia

Aprobado

86

BSD-3-Clause

Completitud de README/SKILL.md

Aprobado

86

Los metadatos incluyen suficiente contexto de uso y flujo de trabajo

Riesgo de dependencias/runtime

Advertencia

44

command execution surface, credential or environment access

Disponibilidad de instalación

Aprobado

92

npx skills add probabl-ai/skills --skill python-env-manager

Seguridad del comando de instalación

Aprobado

92

Ruta estándar de paquete o instalación en tiempo de ejecución

Superficie de permisos

Fallido

36

secrets or environment access, shell or command execution

Evidencia del repositorio

Aprobado

86

https://github.com/probabl-ai/skills/tree/main/skills/python-env-manager

Estado de revisión

Info

66

Hay datos de revisión por IA disponibles

Resultados comprobados por Agent

Info

54

Aún no hay datos de resultados del Agent

Comprobaciones

Revisión de instalación y adopción

6 Aprobado · 16 Requiere revisión

Ruta de instalación

92

Aprobado

npx skills add probabl-ai/skills --skill python-env-manager

Repositorio

88

Aprobado

https://github.com/probabl-ai/skills/tree/main/skills/python-env-manager

Licencia

86

Aprobado

BSD-3-Clause

Mantenimiento

88

Aprobado

2 meses desde el último push

Revisión por IA

55

Revisar

The skill references gates (G-ENV-MGR, G-ENV-SCOPE, etc.) that are defined in other skills; ensure those are available when this skill is used in isolation.

Completitud de README/SKILL.md

86

Aprobado

Usable description available

Riesgo de dependencias

44

Corregir

command execution surface, credential or environment access

Seguridad del comando de instalación

92

Aprobado

Ruta estándar de paquete o instalación en tiempo de ejecución

Superficie de permisos

36

Corregir

secrets or environment access, shell or command execution

Actividad de stars/forks

51

Corregir

119 estrellas y 7 forks; la actividad de issues no está disponible en los metadatos actuales

Adopción

68

Info

119 estrellas de GitHub

Financial decision safety

58

Revisar

Research-only use: do not treat output as financial advice or execute a position without human approval.

Advertencias

  • 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 references gates (G-ENV-MGR, G-ENV-SCOPE, etc.) that are defined in other skills; ensure those are available when this skill is used in isolation.
  • The SKILL.md is very long and dense; it may be challenging for an agent to parse all rules quickly, though the structure is logical.
  • 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: 119 stars, 7 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution

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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