Skill audit report

Adventures In Financial Data Science Audit report.

Here I am collecting the scripts I have used to prepare my book "Adventures in Financial Data Science" and to support my other writing, such as that on Medium. Those for the book are mostly originally written for the RATS time-series analysis system, which is commercial software, so I have begun porting the code to Python Notebooks written for Google's colab https://colab.research.google.com. This is mostly what I will post here. The figures for the book will be generated by notebooks titled "Section n.n.n Section Title" etc.

REVIEWED · REVIEWNeeds reviewGenerated Aug 22, 2026Heuristic metadata audit
80
Audit
78
Trust
69
Quality
88
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

78
Strong shortlist

OpenAgentSkill Trust Score

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

GitHub adoption

WARN

48

65 GitHub stars

Stars/forks activity

WARN

48

65 stars, 17 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

3mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add Farmhouse121/Adventures-in-Financial-Data-Science

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/Farmhouse121/Adventures-in-Financial-Data-Science

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

9 Passed · 7 Needs review

Install path

92

PASS

npx skills add Farmhouse121/Adventures-in-Financial-Data-Science

Repository

88

PASS

https://github.com/Farmhouse121/Adventures-in-Financial-Data-Science

License

86

PASS

MIT

Maintenance

88

PASS

3mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

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

48

FIX

65 stars, 17 forks; issue activity unavailable in current metadata

Adoption

68

INFO

65 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.
  • Quality score needs review
  • GitHub adoption: 65 GitHub stars
  • Stars/forks activity: 65 stars, 17 forks; issue activity unavailable in current metadata

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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