# physbound

> Use this tool when you need to validate the physical feasibility of RF and thermodynamic claims in engineering workflows, preventing errors and hallucinations. PhysBound deterministically checks claims against hard physical limits, providing a reliable output of validated or invalidated results. It is ideal for use in contexts where accuracy and precision are crucial, such as in engineering design and simulation.

Canonical page: https://skillsregistry.net/skills/jonesrobm-physbound  
JSON: https://api.skillsregistry.net/v1/skills/jonesrobm-physbound

## Description

PhysBound is a specialized "Physics Linter" for AI that deterministically validates RF and thermodynamic claims against hard physical limits, preventing hallucinations in engineering workflows.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y1tzu0hlpe)
- **Repository:** <https://github.com/JonesRobM/physbound>

## 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": "jonesrobm-physbound"
    }
  }
}
```

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

---
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