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.
curl -O https://raw.githubusercontent.com/SensorsIot/Embedded-AI-Harness/main/.claude/skills/signal-generator/SKILL.mdgit clone --depth 1 https://github.com/SensorsIot/Embedded-AI-HarnessWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sensorsiot/embedded-ai-harness/signal-generator)<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/github.svg" alt="Measured on agentmods" height="20"></a>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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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: 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.si5351istrue, you can hit any frequency exactly (333 kHz – 112.5 MHz, fractional synthesis). Don't reach for GPCLK. - If
hardware.si5351isfalse, 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 actualfreq_hzreturned, not the requested one. - If
hardware.pe4302isfalse, calls to/api/siggen/attenwill 4xx. Don't promise attenuation control. - If
activeis alreadytrue, starting a new carrier replaces the old one. If the user just wants to retune, use/api/siggen/freqinstead 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.
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.
- 11d ago First seen · 188 lines · 157 tokens per session scan A fc4f68c9ca95
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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