# Mnemoscope

> Use this tool when you need to enhance LLM agent performance on Markdown vaults by predicting context relevance and organizing knowledge into tiered structures. The Mnemoscope solves problems of information overload and context switching by providing a secure, signed journal and scoring system. It takes in Markdown data and outputs tiered, scored knowledge graphs, ideal for use cases requiring efficient information retrieval and agent training.

Canonical page: https://skillsregistry.net/skills/toonight-mnemoscope  
JSON: https://api.skillsregistry.net/v1/skills/toonight-mnemoscope

## Description

Predictive context-rot scoring, Ed25519-signed agent-write journal, and working/episodic/semantic tiering for LLM agents on Markdown vaults.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/na2abe4jd2)
- **Repository:** <https://github.com/toonight/Mnemoscope>

## 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": "toonight-mnemoscope"
    }
  }
}
```

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