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在 OpenClaw 中安装
/install signal-processing
功能描述
Master theoretical foundations and practical methods for analyzing, designing, and implementing digital and analog signal processing systems in communication...
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install signal-processing - 安装完成后，直接呼叫该 Skill 的名称或使用
/signal-processing触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release: DSP, FFT, filtering, modulation, space-time processing, embedded DSP
元数据
常见问题
Signal Processing 是什么？
Master theoretical foundations and practical methods for analyzing, designing, and implementing digital and analog signal processing systems in communication... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 144 次。
如何安装 Signal Processing？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install signal-processing」即可一键安装，无需额外配置。
Signal Processing 是免费的吗？
是的，Signal Processing 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Signal Processing 支持哪些平台？
Signal Processing 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Signal Processing？
由 ViewWay（@viewway）开发并维护，当前版本 v1.0.0。
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