Embedded-AI-Harness: Skill for Claude Code

.claude/skills/signal-generator/SKILL.md

signal-generator is a skill for Claude Code from SensorsIot/Embedded-AI-Harness. It costs 157 tokens per session (2,381 once invoked), scanned A, original, MIT.

A control interface for an RF signal generator in an electronics testbench. RF means radio-frequency electrical signals; the interface can produce a continuous signal or Morse-code beacon, change its frequency, and adjust attenuation.

In plain words
What is it for?
It is for emitting test carriers and Morse signals, changing frequency, adjusting signal strength, and checking the available generator hardware.
Why use it?
It gives one place to control different signal-generator hardware and first checks which hardware is available. This helps avoid using an unsuitable generator or requesting an unsupported frequency.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is SensorsIot/Embedded-AI-Harness's own configuration. It tells Claude Code how to work on Embedded-AI-Harness itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Embedded-AI-Harness configures →

Reuse

Borrowing it

Nothing to install: this file belongs to SensorsIot/Embedded-AI-Harness. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/SensorsIot/Embedded-AI-Harness/main/.claude/skills/signal-generator/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/SensorsIot/Embedded-AI-Harness

Made for: Claude Code.

Wrote this? Show the measurements

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agentmods badge for signal-generator

README.md
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Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for signal-generator

Your own site · 80×15
<a href="https://agentmods.dev/skills/sensorsiot/embedded-ai-harness/signal-generator"><img src="https://agentmods.dev/badge/skills/sensorsiot/embedded-ai-harness/signal-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 157 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,381 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00157 $0.02381
Opus 5 $0.00078 $0.01190
Sonnet 5 $0.00031 $0.00476
Haiku 4.5 $0.00016 $0.00238

Measured 11d ago against content hash fc4f68c9ca95, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

signal-generator scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

The Python driver mirrors the API one-for-one. Prefer these over raw curl when writing test scripts:
.claude/skills/signal-generator/SKILL.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Signal Generator (/api/siggen/*)

The testbench Pi has one signal-generator service. Two RF sources sit behind it (Si5351 on I²C, BCM2835 GPCLK on GPIO 5/6) and an optional PE4302 step attenuator can sit in the RF path. The endpoint is the same regardless of which backend is active — /api/siggen/* is the only entry point you should reach for.

This skill replaces the legacy cw-beacon skill, which only knew about GPCLK and led to wrong frequencies on testbenches that have an Si5351.


Always check status first

Before starting a carrier or recommending a backend, GET /api/siggen/status. The response tells you which hardware is detected:

{
  "ok": true, "active": false, "backend": null,
  "freq_hz": 0.0, "channel": null, "pin": null,
  "atten_db": null, "morse": null,
  "hardware": {"si5351": true, "gpclk": true, "pe4302": true}
}

Why this matters:

  • If hardware.si5351 is true, you can hit any frequency exactly (333 kHz – 112.5 MHz, fractional synthesis). Don't reach for GPCLK.
  • If hardware.si5351 is false, you fall back to GPCLK, which only produces PLLD/N integer dividers — ~25–30 kHz frequency steps in the 80m band. Tell the user the actual freq_hz returned, not the requested one.
  • If hardware.pe4302 is false, calls to /api/siggen/atten will 4xx. Don't promise attenuation control.
  • If active is already true, starting a new carrier replaces the old one. If the user just wants to retune, use /api/siggen/freq instead so the Morse keyer (if any) keeps running.

Skipping the status check is the most common failure mode of this skill — pick the wrong backend and the carrier ends up tens of kHz off frequency, or you offer attenuation that doesn't exist.


API summary

Every endpoint, with its request and response shape: FSD Appendix D.11.

freq retunes an active carrier without restarting the Morse keyer — use it rather than stop/start when a test must not lose keying state.

Read the full file on GitHub · 188 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 188 lines · 157 tokens per session scan A fc4f68c9ca95

Subscribe to this mod's changes

signal-generator is a skill published in the GitHub repository SensorsIot/Embedded-AI-Harness (173 stars, last pushed 1mo ago), licensed MIT. It adds 157 tokens to every session and 2,381 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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