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RTL-SDR WFM RDS Decoder

v1.0.0

Record broadcast FM stations from an RTL-SDR using a reliable IQ-capture workflow with offline WBFM demodulation, RDS station-name extraction, and automatic...

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byIhar Yatsevich@igrikxd
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
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Benign
high confidence
✓
Purpose & Capability
The name/description promise (IQ capture, WBFM demod, RDS extraction, MP3 naming) matches the included Python scripts and the SKILL.md. The scripts call expected external binaries (rtl_sdr, rtl_fm, redsea, ffmpeg) via subprocess, perform offline demodulation with numpy/scipy, and write MP3/JSON outputs. There are no unrelated credentials or unexplained dependencies declared.
✓
Instruction Scope
SKILL.md instructs only FM‑related orchestration (check, scan, decode, record), recommends running the included scripts, and documents required tools and outputs. The runtime code interacts with local tools, reads pipe output, performs local file I/O (out-dir, /tmp fallback for redsea), and writes debug JSON and MP3 files — all consistent with the stated tasks. There are no instructions to collect system-wide secrets, read unrelated config, or send data to external network endpoints.
✓
Install Mechanism
No install spec is provided (instruction-only install), and all code is bundled with the skill. There are no downloads from external URLs or archive extraction steps in the manifest. The execution model relies on local system binaries being present, which is expected for this tooling.
✓
Credentials
The skill requests no environment variables or credentials. It does rely on local system binaries and devices (rtl_* tools that access an RTL‑SDR USB device and ffmpeg for encoding) which is proportional to its purpose. Note: using the skill requires granting the process access to the SDR hardware (USB/dev nodes) and write access to the chosen out-dir.
✓
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. It does not attempt to modify other skills or global agent settings. Autonomous invocation is allowed by default (normal for skills) but not combined with any other red flags.
Assessment
This skill appears coherent and implements the described RTL‑SDR → FM → RDS → MP3 workflow. Before installing/running: 1) Run python3 scripts/fm_iq_pipeline.py --check to confirm required tools are on PATH and inspect probeMessage if any tool is unavailable. 2) Install rtl_sdr/rtl_fm/rtl_power (driver access to the USB SDR), ffmpeg, python3, numpy, scipy, and redsea from trusted package sources. 3) Be aware the scripts spawn subprocesses and write recordings/debug JSON to disk (out-dir and a /tmp redsea fallback path). 4) If you are concerned about safety, run in a sandboxed Linux environment with limited network access and inspect the rds-debug-<freq>.json outputs after --decode-rds. 5) No secrets or remote endpoints are requested by the skill; ensure you trust the origin of the package before running code from an unknown source.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

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