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Install in OpenClaw
/install signal-processing
Description
Master theoretical foundations and practical methods for analyzing, designing, and implementing digital and analog signal processing systems in communication...
Usage Guidance
This skill is an instruction-only, self-contained signal-processing tutorial and appears coherent with its description. Before installing or using it, note that: (1) example snippets import Python libraries (numpy, scipy, pywt); your agent environment may need those installed — installing them requires network access and package installation privileges, which you should review separately; (2) although the skill does not ask for credentials or file access, if you let the agent execute code from these examples in your environment it could read local files or network resources depending on agent permissions — run in a sandbox or review execution policies if you have concerns. Overall the skill is internally consistent and does not request disproportionate access.
Capability Analysis
Type: OpenClaw Skill
Name: signal-processing
Version: 1.0.0
The skill bundle is a comprehensive technical reference for signal processing, covering topics from Fourier analysis to MIMO and SDR implementation. It contains standard mathematical formulas and legitimate code snippets using libraries like NumPy and SciPy in SKILL.md. No indicators of malicious intent, data exfiltration, or prompt injection were identified; the content is purely educational and functional for its stated purpose.
Capability Assessment
Purpose & Capability
The name/description (signal processing theory and practice) matches the SKILL.md content (detailed theory, methods, and example code). There are no unrelated environment variables, binaries, or install steps requested.
Instruction Scope
SKILL.md contains explanations, math, and example Python snippets (numpy, scipy, pywt) but does not instruct the agent to read arbitrary user files, access secrets, or transmit data to external endpoints. Code examples are illustrative and remain within the domain of signal processing.
Install Mechanism
No install spec or downloadable code is present (instruction-only). Nothing will be written to disk or fetched by the skill itself.
Credentials
The skill requires no environment variables, credentials, or config paths. References to common Python libraries are appropriate for the examples and proportionate to the stated educational purpose.
Persistence & Privilege
always is false and the skill does not request persistent/system privileges or modification of other skills' configuration.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install signal-processing - After installation, invoke the skill by name or use
/signal-processing - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: DSP, FFT, filtering, modulation, space-time processing, embedded DSP
Metadata
Frequently Asked Questions
What is Signal Processing?
Master theoretical foundations and practical methods for analyzing, designing, and implementing digital and analog signal processing systems in communication... It is an AI Agent Skill for Claude Code / OpenClaw, with 144 downloads so far.
How do I install Signal Processing?
Run "/install signal-processing" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Signal Processing free?
Yes, Signal Processing is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Signal Processing support?
Signal Processing is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Signal Processing?
It is built and maintained by ViewWay (@viewway); the current version is v1.0.0.
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