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SKILL verified MIT Self-run

Kicad Emsim

skill-avatarsd-kiskill-kicad-emsim · by AvatarSD

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Install

$ agentstack add skill-avatarsd-kiskill-kicad-emsim

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-avatarsd-kiskill-kicad-emsim)

Reliability & compatibility

✓ Security review passed
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● 2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

EM simulation (gerber2ems + openEMS)

Engine: $(kx root)/kicad_lib/emsim.py. STATUS: chain VALIDATED — meander_loose example simulated end-to-end (rc 0; |S11|≈1 + 455 ps delay on the open meander = physically correct). Image gerber2ems (6.6 GB); rebuild if missing: docker build -t gerber2ems $(kx root)/.tools/gerber2ems/. NEVER mount over /home/docker — it shadows the image toolchain; emsim.run mounts at /home/docker/sim.

Flow

  1. emsim.prepare(pcb, workdir) — gerbers+drill+pos via fab.py (names

already match), stackup.json translated from the board's (setup (stackup ...)), simulation.json template.

  1. Fill ports in simulation.json (width/length in µm, impedance,

layer index, excite flag) and traces (start/stop port indices) — ports sit at position-file footprint locations (use simulation-port footprints on the board for clean port placement).

  1. emsim.run(workdir, export_field=True) — dockerized

gerber2ems -a --export-field: geometry → FDTD → postprocess.

  1. Read the outputs: ems/*.csv S-params/impedance; **field PNGs are

the agent feedback** — Read them, check field concentration against expectations (return paths, gaps, stubs). VTR dumps open in ParaView for the user.

Notes

  • Frequency range/grid in SIM_TEMPLATE: 0.2–6 GHz, sane FR-4 defaults;

finer grids explode runtime (FDTD is O(cells × steps)).

  • Worked examples: .tools/gerber2ems/examples/* (differential pair,

filters, stubs) — copy a simulation.json from the closest one.

  • Docker daemon does its own networking — image build/pull works even

though the agent sandbox blocks direct DNS.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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