# benchweave

> benchweave — madeinoz67-benchweave. Use this tool when you need to automate testing of embedded systems, leveraging reusable plugins and AI-driven safety awareness to streamline your testing workflow. BenchWeave takes in device profiles and test scenarios as inputs and outputs detailed test results, supporting git integration for version control. Ideal for use cases requiring efficient and reliable testing of complex embedded systems.

Canonical page: https://skillsregistry.net/skills/madeinoz67-benchweave  
JSON: https://api.skillsregistry.net/v1/skills/madeinoz67-benchweave

## Description

BenchWeave is a Python test-bench gateway for embedded systems, combining reusable instrument and DUT plugins, shared device profiles, and safety-aware automated testing using AI.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/madeinoz67/benchweave)

## 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": "madeinoz67-benchweave"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/madeinoz67-benchweave` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/madeinoz67-benchweave/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