RTL-SDR WFM RDS Decoder

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

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.

Type: OpenClaw Skill Name: rtl-sdr-fm-rds-recorder Version: 1.0.0 The skill bundle provides a specialized pipeline for recording FM radio and extracting RDS station names using RTL-SDR hardware. The implementation includes complex Digital Signal Processing (DSP) logic for WBFM demodulation, de-emphasis filtering, and rational resampling using NumPy and SciPy. While the scripts utilize `subprocess` to interface with external tools like `rtl_sdr`, `ffmpeg`, and `redsea`, they include input validation for frequencies and gains, and the logic is strictly aligned with the stated purpose of radio recording and metadata extraction. No indicators of data exfiltration, persistence, or malicious prompt injection were found.