# Aleph

> Use this tool when you need to analyze large documents or datasets that exceed the context window of AI assistants, to solve problems such as information retrieval, data processing, and recursive reasoning. Aleph takes in large files as input and provides outputs via search, navigation, and Python execution tools, enabling AI agents to process massive datasets in chunks. It is particularly useful when working with massive datasets that require recursive reasoning and chunk-based processing.

Canonical page: https://skillsregistry.net/skills/hmbown-aleph  
JSON: https://api.skillsregistry.net/v1/skills/hmbown-aleph

## Description

Enables AI assistants to analyze documents larger than their context window by loading files into RAM and querying them via search, navigation, and Python execution tools. Supports recursive reasoning to process massive datasets in chunks using sub-agents.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lvp0gd9h2q)
- **Repository:** <https://github.com/Hmbown/aleph>

## 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": "hmbown-aleph"
    }
  }
}
```

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