# cloche

> cloche — escoffier-labs-cloche. Use this tool when you need to capture and present desktop shots with polished frames and stable JSON output for seamless integration with shells and AI agents. It solves the problem of inconsistent and unreliable desktop capture, providing a neutral and efficient solution. Ideal for use cases requiring accurate and formatted visual data, such as documentation, training, and automation.

Canonical page: https://skillsregistry.net/skills/escoffier-labs-cloche  
JSON: https://api.skillsregistry.net/v1/skills/escoffier-labs-cloche

## Description

Lift the dome. Present the shot. Agent-neutral desktop capture with polished frames and stable JSON for shells and AI agents.

## Trust

- **Trust score (0–1):** 0.25
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/escoffier-labs/cloche)

## 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": "escoffier-labs-cloche"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/escoffier-labs-cloche` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/escoffier-labs-cloche/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