# frame-check

> frame-check — lluvr-frame-check. Use this tool when you need to analyze structural framing for potential issues, as it provides deterministic detection and solves problems related to building design and construction. It takes in framing data as input and outputs analysis results, all while minimizing costs with zero LLM cost per query. Ideal for use in architectural and engineering projects, Frame Check streamlines the design process through its efficient and cost-effective analysis capabilities.

Canonical page: https://skillsregistry.net/skills/lluvr-frame-check  
JSON: https://api.skillsregistry.net/v1/skills/lluvr-frame-check

## Description

Structural framing analysis as an MCP server with deterministic detection. The caller's agent runs the judge, so Frame Check bears zero LLM cost per query.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/lluvr/frame-check)

## 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": "lluvr-frame-check"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lluvr-frame-check` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lluvr-frame-check/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