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Dtreeviz Audit Report | OpenAgentSkill | OpenAgentSkill

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Skills/Dtreeviz/Audit

Skill audit report

Dtreeviz Audit report.

A python library for decision tree visualization and model interpretation.

REVIEWED · REVIEWNeeds reviewGenerated Sep 17, 2026Heuristic metadata audit

84

Audit

85

Trust

88

Quality

88

Security

62

Maintain

92

Install

OpenAgentSkill Trust Score

85

Strong shortlist

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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Docs About Contact API

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OpenAgentSkill Trust Score

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

GitHub adoption

PASS

86

3.1K GitHub stars

Stars/forks activity

PASS

83

3.1K stars, 339 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

62

9mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

INFO

74

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add parrt/dtreeviz

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

86

filesystem or document access

Repository evidence

PASS

86

https://github.com/parrt/dtreeviz

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

10 Passed · 4 Needs review

Install path

92

PASS

npx skills add parrt/dtreeviz

Repository

88

PASS

https://github.com/parrt/dtreeviz

License

86

PASS

MIT

Maintenance

62

CHECK

9mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Install command safety

92

PASS

standard package or runtime install path

Permission surface

86

PASS

filesystem or document access

Stars/forks activity

83

PASS

3.1K stars, 339 forks; issue activity unavailable in current metadata

Adoption

88

PASS

3.1K GitHub stars

Financial decision safety

58

CHECK

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

Warnings

Financial research output is not financial advice; require human review before any live investment decision
Financial research output is not financial advice; require human review before any live investment decision.

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.

Review the source

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: Jupyter Notebook + Machine Learning
Alternatives: 3

Open agent JSON

Signals

Audit score: 84/100
Quality: 88/100
Trust: 85/100
Install safety: 92/100
Permission surface: 86/100
Maintenance: 9mo since push
Events: 13 events
GitHub stars: 3.1K
Last push: Jan 2, 2026

Agent safety v2

68/100 · Avoid automatic install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.

Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.
Financial research output is not financial advice; require human review before any live investment decision
68/100 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.

Financial research output is not financial advice; require human review before any live investment decision

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