OpenAgentSkill
GitHub200+

Rapport d’audit du skill

python-env-manager Rapport d’audit.

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

Bloqué · BloquerRevue nécessaireGénéré 12 oct. 2026Audit heuristique des métadonnées
72
Audit
65
Confiance
65
Qualité
71
Sécurité
88
Maintain
92
Installer

Trust Score OpenAgentSkill

65
Revue manuelle

Trust Score OpenAgentSkill

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

Adoption GitHub

Info

62

119 stars GitHub

Activité stars/forks

Avertissement

51

119 stars et 7 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles

Maintenance récente

Validé

88

2 mois depuis le dernier push

Clarté de licence

Validé

86

BSD-3-Clause

Complétude README/SKILL.md

Validé

86

Les métadonnées incluent suffisamment de contexte d’usage et de workflow

Risque dépendances/runtime

Avertissement

44

command execution surface, credential or environment access

Disponibilité de l’installation

Validé

92

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

Sécurité de la commande d’installation

Validé

92

Chemin d’installation standard de package ou runtime

Surface de permissions

Échoué

36

secrets or environment access, shell or command execution

Preuve du dépôt

Validé

86

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

État de revue

Info

66

Données de revue IA disponibles

Résultats prouvés par Agent

Info

54

Pas encore de données de résultats Agent

Vérifications

Revue d’installation et d’adoption

6 Validé · 16 Revue nécessaire

Chemin d’installation

92

Validé

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

Dépôt

88

Validé

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

Licence

86

Validé

BSD-3-Clause

Maintenance

88

Validé

2 mois depuis le dernier push

Revue IA

55

Vérifier

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.

Complétude README/SKILL.md

86

Validé

Usable description available

Risque de dépendances

44

Corriger

command execution surface, credential or environment access

Sécurité de la commande d’installation

92

Validé

Chemin d’installation standard de package ou runtime

Surface de permissions

36

Corriger

secrets or environment access, shell or command execution

Activité stars/forks

51

Corriger

119 stars et 7 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles

Adoption

68

Info

119 stars GitHub

Financial decision safety

58

Vérifier

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

Avertissements

  • 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

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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