Skill audit report

geostatistics-interpolation Audit report.

Turn scattered point measurements into continuous surfaces with quantified uncertainty: variogram modeling, ordinary/universal/regression kriging, IDW, and spatially honest cross-validation. Use when unobserved values must be estimated from sparse samples such as stations, wells, or soundings. Trigger on "interpolate", "kriging", "variogram", or "IDW"; a named interpolation method is sufficient even when the requested surface is described informally as a heatmap. Do not use for point-density heatmaps, zonal aggregation, or raster resampling without value interpolation.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Oct 13, 2026Heuristic metadata audit
72
Audit
72
Trust
52
Quality
80
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

72
Strong shortlist

OpenAgentSkill Trust Score

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

GitHub adoption

FAIL

30

22 GitHub stars

Stars/forks activity

FAIL

32

22 stars, 1 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

1mo 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 muend/geoai-skills --skill geostatistics-interpolation

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/muend/geoai-skills/tree/main/skills/geostatistics-interpolation

Review status

WARN

46

AI review approval is missing

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

8 Passed · 9 Needs review

Install path

92

PASS

npx skills add muend/geoai-skills --skill geostatistics-interpolation

Repository

88

PASS

https://github.com/muend/geoai-skills/tree/main/skills/geostatistics-interpolation

License

86

PASS

MIT

Maintenance

88

PASS

1mo 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

86

PASS

filesystem or document access

Stars/forks activity

32

FIX

22 stars, 1 forks; issue activity unavailable in current metadata

Adoption

42

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, 1 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.

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