# memoria

> Use this tool when you need to identify hidden file dependencies in your codebase to prevent breakage, as it leverages git forensics to reveal potential issues. It takes git repository data as input and outputs a detailed map of file dependencies, enabling proactive maintenance and debugging. Ideal for use during code refactoring, updates, or troubleshooting to ensure a stable and reliable AI system.

Canonical page: https://skillsregistry.net/skills/byronwade-memoria  
JSON: https://api.skillsregistry.net/v1/skills/byronwade-memoria

## Description

Prevents your AI from breaking code by revealing hidden file dependencies through git forensics.

## Trust

- **Trust score (0–1):** 0.06
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/byronwade/memoria)
- **Repository:** <https://github.com/byronwade/memoria>

## 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": "byronwade-memoria"
    }
  }
}
```

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