Skill audit report

gnnwr Audit report.

Spatial and spatiotemporal regression with GNNWR (Geographically Neural Network Weighted Regression). Use when the agent needs to: (1) Build spatially varying coefficient regression models, (2) Analyze geographic non-stationarity in spatial data, (3) Generate spatial coefficient maps for publication, (4) Run spatiotemporal regression with GTNNWR, (5) Scale geographically weighted regression to large datasets (N > 10k) with KNN mode, (6) Diagnose spatial model performance with F-tests, AIC, and residual maps.

REVIEWED · REVIEWNeeds reviewGenerated Nov 6, 2026Heuristic metadata audit
74
Audit
73
Trust
56
Quality
80
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

73
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

61 GitHub stars

Stars/forks activity

WARN

43

61 stars, 5 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

INFO

76

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 SteadfastAsArt/geoscience-skills --skill gnnwr

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

72

filesystem or document access, network or browser access

Repository evidence

PASS

86

https://github.com/SteadfastAsArt/geoscience-skills/tree/main/gnnwr

Review status

WARN

46

AI review approval is missing

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

7 Passed · 8 Needs review

Install path

92

PASS

npx skills add SteadfastAsArt/geoscience-skills --skill gnnwr

Repository

88

PASS

https://github.com/SteadfastAsArt/geoscience-skills/tree/main/gnnwr

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

Review approval is missing

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

72

CHECK

filesystem or document access, network or browser access

Stars/forks activity

43

FIX

61 stars, 5 forks; issue activity unavailable in current metadata

Adoption

68

INFO

61 GitHub stars

Warnings

  • AI review approval is missing
  • Quality score needs review
  • GitHub adoption: 61 GitHub stars
  • Stars/forks activity: 61 stars, 5 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.

Compare nearby options

Related skills to audit next