# Sigrok

> Use this tool when you need to capture and analyze digital and analog signals from various hardware devices, such as logic analyzers and oscilloscopes, to decode protocols, inspect waveforms, and debug hardware issues. It takes input from supported hardware devices and outputs decoded signal data, providing a comprehensive signal analysis workflow. Ideal for use cases involving protocol decoding, signal inspection, and hardware debugging in various industries, including electronics and embedded systems development.

Canonical page: https://skillsregistry.net/skills/kenosinc-sigrok  
JSON: https://api.skillsregistry.net/v1/skills/kenosinc-sigrok

## Description

Wraps the sigrok open-source signal analysis suite to enable AI agents to capture, decode, and analyze digital and analog signals from logic analyzers and oscilloscopes. Supports protocol decoding, waveform inspection, and hardware debugging workflows through sigrok-cli integration. Distributed as an OCI container image.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kenosinc-sigrok)
- **Repository:** <https://github.com/kenosinc/sigrok-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kenosinc-sigrok"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kenosinc-sigrok` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kenosinc-sigrok/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt