Skill audit report

mlops-prototyping Audit report.

Structure reproducible Jupyter notebooks with a fixed section layout, hoisted configuration, and leakage-free scikit-learn pipelines. Use when exploring a dataset, training a first model, or preparing a notebook for promotion.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 5, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

Manual review

OpenAgentSkill Trust Score

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

GitHub adoption

FAIL

22 GitHub stars

Stars/forks activity

FAIL

22 stars, 4 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3mo since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

database surface

Install availability

PASS

npx skills add MLOps-Courses/mlops-coding-skills --skill mlops-prototyping

Install command safety

PASS

standard package or runtime install path

Permission surface

INFO

filesystem or document access, database access

Repository evidence

PASS

https://github.com/MLOps-Courses/mlops-coding-skills/tree/main/mlops-prototyping

Review status

WARN

AI review approval is missing

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

7 Passed · 10 Needs review

Install path

PASS

npx skills add MLOps-Courses/mlops-coding-skills --skill mlops-prototyping

Repository

PASS

https://github.com/MLOps-Courses/mlops-coding-skills/tree/main/mlops-prototyping

License

PASS

MIT

Maintenance

PASS

3mo since push

AI review

CHECK

Review approval is missing

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

PASS

database surface

Install command safety

PASS

standard package or runtime install path

Permission surface

CHECK

filesystem or document access, database access

Stars/forks activity

FIX

22 stars, 4 forks; issue activity unavailable in current metadata

Adoption

CHECK

22 GitHub stars

Warnings

Low GitHub adoption signal
AI review approval is missing
Quality score needs review
GitHub adoption: 22 GitHub stars
Stars/forks activity: 22 stars, 4 forks; issue activity unavailable in current metadata
Review status: AI review approval is missing

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.

Install path

Review the report before installing into production agents.

$ npx skills add MLOps-Courses/mlops-coding-skills --skill mlops-prototyping

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: review
Best agents: Codex + Claude Code
Alternatives: 3

Open agent JSON

Signals

Audit score: 71/100
Quality: 49/100
Trust: 71/100
Install safety: 92/100
Permission surface: 74/100
Maintenance: 3mo since push
Events: 21 events
GitHub stars: 22
Last push: Aug 10, 2026

Agent safety v2

51/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Low GitHub adoption signal
51/100 agent safety score

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

Database access

medium

Skill may inspect schemas, query databases, or work with persistent stores.

Low GitHub adoption signal

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