Skill audit report

organize-ml-workspace Audit report.

Decide where files live in an ML experimentation project: reusable code in `src/<pkg>/`, one `# %%` script per experiment in `experiments/`, design notes + index in `journal/`, reports in `reports/`, agent-only probes in `scratch/`. Owns the layout, the file-creation rules (one file per experiment, ask before editing), and the jupytext `# %%` script convention. Never imposes `data/` — the user owns that. TRIGGER — any of: - Starting a new ML project / scaffolding a workspace. - About to create the first experiment file in a project. - About to create `src/<pkg>/data.py` / `features.py` / `pipeline.py` / `evaluate.py` for the first time. - About to write a `.ipynb` for experimentation — redirect to a `# %%` script under `experiments/`. - User asks where something should live, how to organize the project, or how to set up the workspace. - About to add a new experiment iteration — decide new file vs edit existing (ask the user). SKIP when: the file is clearly part of an already-populated

BLOCKED · BLOCKNeeds reviewGenerated Nov 11, 2026Heuristic metadata audit
74
Audit
71
Trust
64
Quality
75
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

71
Manual review

OpenAgentSkill Trust Score

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

GitHub adoption

INFO

62

119 GitHub stars

Stars/forks activity

WARN

51

119 stars, 7 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

3mo since push

License clarity

PASS

86

BSD-3-Clause

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

WARN

46

credential or environment access, external package install surface

Install availability

PASS

92

npx skills add probabl-ai/skills --skill organize-ml-workspace

Install command safety

PASS

92

standard package or runtime install path

Permission surface

FAIL

18

secrets or environment access, shell or command execution

Repository evidence

PASS

86

https://github.com/probabl-ai/skills/tree/main/skills/organize-ml-workspace

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

7 Passed · 10 Needs review

Install path

92

PASS

npx skills add probabl-ai/skills --skill organize-ml-workspace

Repository

88

PASS

https://github.com/probabl-ai/skills/tree/main/skills/organize-ml-workspace

License

86

PASS

BSD-3-Clause

Maintenance

88

PASS

3mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

46

FIX

credential or environment access, external package install surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

18

FIX

secrets or environment access, shell or command execution

Stars/forks activity

51

FIX

119 stars, 7 forks; issue activity unavailable in current metadata

Adoption

68

INFO

119 GitHub stars

Warnings

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • 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: credential or environment access, external package install surface
  • Permission surface: secrets or environment access, shell or command execution

Method

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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