Star200+

Skill audit report

Kicad Happy Audit report.

AI coding agent skills for KiCad electronics design. Works with Claude Code and OpenAI Codex. Analyze schematics, review PCB layouts, EMC pre-compliance, SPICE simulation, download datasheets, source components, and prep boards for fabrication.

REVIEWED · REVIEWSafe to tryGenerated Aug 3, 2026Heuristic metadata audit
89
Audit
84
Trust
86
Quality
89
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

84
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

76

754 GitHub stars

Stars/forks activity

INFO

71

754 stars, 58 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

16d 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 aklofas/kicad-happy

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/aklofas/kicad-happy

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

10 Passed · 2 Needs review

Install path

92

PASS

npx skills add aklofas/kicad-happy

Repository

88

PASS

https://github.com/aklofas/kicad-happy

License

86

PASS

MIT

Maintenance

100

PASS

16d 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

71

CHECK

754 stars, 58 forks; issue activity unavailable in current metadata

Adoption

88

PASS

754 GitHub stars

Warnings

  • Quality score needs review

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

Agent Skills

Production-grade engineering skills for AI coding agents.

81K Stars · Audit report

Superpowers

An agentic skills framework & software development methodology that works.

257K Stars · Audit report

Skills

Public repository for Agent Skills

162K Stars · Audit report