Skill audit report

uig Audit report.

Build a User Input Grid (UIG) for an AI product or feature, evaluate existing eval datasets against it, and propose new inputs to fill coverage gaps. Use this skill whenever someone asks to design an eval framework, audit a test set, build a "user input grid", "synthetic query matrix" or "SQM", improve dataset coverage, or assess whether their offline evals reflect what real users will actually send. Also trigger when they share a product domain + sample dataset and want to know what the dataset is missing, or when they're setting up evals from scratch for a new AI feature. Output is a markdown file (UIG framework + dataset evaluation + recommendations) saved to the current project directory.

REVIEWED · REVIEWNeeds reviewGenerated Oct 20, 2026Heuristic metadata audit
78
Audit
77
Trust
60
Quality
82
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

77
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

75 GitHub stars

Stars/forks activity

WARN

43

75 stars, 8 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

3d since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

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 Calibre-Labs/reforge-ai-evals --skill uig

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/Calibre-Labs/reforge-ai-evals/tree/main/skills/uig

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 · 7 Needs review

Install path

92

PASS

npx skills add Calibre-Labs/reforge-ai-evals --skill uig

Repository

88

PASS

https://github.com/Calibre-Labs/reforge-ai-evals/tree/main/skills/uig

License

86

PASS

MIT

Maintenance

100

PASS

3d since push

AI review

55

CHECK

Review approval is missing

README/SKILL.md completeness

86

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

43

FIX

75 stars, 8 forks; issue activity unavailable in current metadata

Adoption

68

INFO

75 GitHub stars

Warnings

  • AI review approval is missing
  • Quality score needs review
  • GitHub adoption: 75 GitHub stars
  • Stars/forks activity: 75 stars, 8 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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