Laporan audit skill

python-env-manager Laporan 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

Diblokir · BlokirPerlu ditinjauDihasilkan 12 Okt 2026Audit metadata heuristik
72
Audit
65
Kepercayaan
65
Kualitas
71
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

65
Tinjauan manual

Trust Score OpenAgentSkill

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

Adopsi GitHub

Info

62

119 star GitHub

Aktivitas star/fork

Peringatan

51

119 star dan 7 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

2 bulan sejak push

Kejelasan lisensi

Lulus

86

BSD-3-Clause

Kelengkapan README/SKILL.md

Lulus

86

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Peringatan

44

command execution surface, credential or environment access

Ketersediaan pemasangan

Lulus

92

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

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

36

secrets or environment access, shell or command execution

Bukti repositori

Lulus

86

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

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

6 Lulus · 16 Perlu ditinjau

Jalur pemasangan

92

Lulus

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

Repositori

88

Lulus

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

Lisensi

86

Lulus

BSD-3-Clause

Pemeliharaan

88

Lulus

2 bulan sejak push

Tinjauan AI

55

Periksa

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.

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

44

Perbaiki

command execution surface, credential or environment access

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

36

Perbaiki

secrets or environment access, shell or command execution

Aktivitas star/fork

51

Perbaiki

119 star dan 7 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

68

Info

119 star GitHub

Financial decision safety

58

Periksa

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

Peringatan

  • 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

Metode

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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