# AnticLaw

> AnticLaw — goga74-anticlaw. Use this tool when you need to manage and organize large amounts of conversational data from LLMs like Claude and ChatGPT. AnticLaw solves the problem of knowledge fragmentation by providing a local-first knowledge base that allows for seamless searching and importing of chat logs. It takes in chat logs and project folders as inputs and outputs a searchable, connected knowledge base that can be integrated with Claude Code via MCP.

Canonical page: https://skillsregistry.net/skills/goga74-anticlaw  
JSON: https://api.skillsregistry.net/v1/skills/goga74-anticlaw

## Description

LawMemory. Local-first knowledge base for LLM conversations. Folder = project, file = chat. Import from Claude & ChatGPT, search across everything, connect to Claude Code via MCP. Your disk is the source of truth — no cloud required.

## Trust

- **Trust score (0–1):** 0.03
- **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/Goga74/AnticLaw)

## 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": "goga74-anticlaw"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/goga74-anticlaw` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/goga74-anticlaw/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