# cap-shield-mcp

> cap-shield-mcp — robinlidberg-dot-cap-shield-mcp. Use this tool when you need to optimize context selection and compression for AI agents, solving problems of inefficient data processing and storage. It takes in large datasets and outputs compressed, selected contexts, streamlining AI workflows. Ideal for use cases where data recall accuracy is crucial, such as training and deploying AI models.

Canonical page: https://skillsregistry.net/skills/robinlidberg-dot-cap-shield-mcp  
JSON: https://api.skillsregistry.net/v1/skills/robinlidberg-dot-cap-shield-mcp

## Description

Context selection and compression for AI agents — with the recall measured, not claimed. One file, no dependencies.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **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/robinlidberg-dot/cap-shield-mcp)

## 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": "robinlidberg-dot-cap-shield-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/robinlidberg-dot-cap-shield-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/robinlidberg-dot-cap-shield-mcp/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