# mindreader

> mindreader — bnomei-mindreader. Use this tool when you need to efficiently manage and curate knowledge for AI agents, solving problems of information overload and disorganized data. Mindreader provides a memory-based approach, allowing agents to store and retrieve relevant information through a git-based interface. It is ideal for use cases where AI agents require a curated knowledge base, streamlining their decision-making processes and improving overall performance.

Canonical page: https://skillsregistry.net/skills/bnomei-mindreader  
JSON: https://api.skillsregistry.net/v1/skills/bnomei-mindreader

## Description

Mindreader gives AI agents a memory they must curate, not a history they can search.

## Trust

- **Trust score (0–1):** 0.49
- **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/bnomei/mindreader)

## 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": "bnomei-mindreader"
    }
  }
}
```

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