Skill-Audit-Bericht
python-env-manager Audit-Bericht.
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
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub-Akzeptanz
Info62
119 GitHub-Stars
Star-/Fork-Aktivität
Warnung51
119 Stars und 7 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Aktuelle Wartung
Bestanden88
2 Monate seit dem letzten Push
Lizenzklarheit
Bestanden86
BSD-3-Clause
README/SKILL.md-Vollständigkeit
Bestanden86
Metadaten enthalten ausreichend Nutzungs- und Workflow-Kontext
Abhängigkeits-/Laufzeitrisiko
Warnung44
command execution surface, credential or environment access
Installationsverfügbarkeit
Bestanden92
npx skills add probabl-ai/skills --skill python-env-manager
Sicherheit des Installationsbefehls
Bestanden92
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsumfang
Fehlgeschlagen36
secrets or environment access, shell or command execution
Repository-Nachweis
Bestanden86
https://github.com/probabl-ai/skills/tree/main/skills/python-env-manager
Prüfstatus
Info66
KI-Prüfdaten verfügbar
Agent-validierte Ergebnisse
Info54
Noch keine Agent-Ergebnisdaten
Prüfungen
Installations- und Adoptionsprüfung
Installationspfad
92
npx skills add probabl-ai/skills --skill python-env-manager
Repository
88
https://github.com/probabl-ai/skills/tree/main/skills/python-env-manager
Lizenz
86
BSD-3-Clause
Wartung
88
2 Monate seit dem letzten Push
KI-Prüfung
55
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.
README/SKILL.md-Vollständigkeit
86
Usable description available
Abhängigkeitsrisiko
44
command execution surface, credential or environment access
Sicherheit des Installationsbefehls
92
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsumfang
36
secrets or environment access, shell or command execution
Star-/Fork-Aktivität
51
119 Stars und 7 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Akzeptanz
68
119 GitHub-Stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Warnungen
- 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
Methode
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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