Skill audit report

statsmodels-statistical-modeling Audit report.

Python statistical modeling: regression (OLS, WLS, GLM), discrete (Logit, Poisson, NegBin), time series (ARIMA, SARIMAX, VAR), with rigorous inference, diagnostics, and hypothesis tests. Use scikit-learn for ML; statistical-analysis for test choice.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 6, 2026Heuristic metadata audit
78
Audit
75
Trust
69
Quality
80
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

75
Strong shortlist

OpenAgentSkill Trust Score

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

GitHub adoption

INFO

62

359 GitHub stars

Stars/forks activity

WARN

57

359 stars, 35 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo 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

54

command execution surface, external package install surface

Install availability

PASS

92

npx skills add jaechang-hits/SciAgent-Skills --skill statsmodels-statistical-modeling

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

62

shell or command execution, network or browser access

Repository evidence

PASS

86

https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/biostatistics/statsmodels-statistical-modeling

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 · 7 Needs review

Install path

92

PASS

npx skills add jaechang-hits/SciAgent-Skills --skill statsmodels-statistical-modeling

Repository

88

PASS

https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/biostatistics/statsmodels-statistical-modeling

License

86

PASS

BSD-3-Clause

Maintenance

88

PASS

2mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

54

FIX

command execution surface, external package install surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

62

CHECK

shell or command execution, network or browser access

Stars/forks activity

57

FIX

359 stars, 35 forks; issue activity unavailable in current metadata

Adoption

68

INFO

359 GitHub stars

Warnings

  • Dependency or permission surface needs review
  • Quality score needs review
  • Stars/forks activity: 359 stars, 35 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, external package install surface

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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