# NeuralVaultSkill

> NeuralVaultSkill — getobyte-neuralvaultskill. Use this tool when you need to securely manage long-term memory for AI agents, solving problems related to data retention and efficient recall. It provides an interface for storing and retrieving sensitive information, taking in memory inputs and outputting optimized storage solutions. Ideal for use cases requiring persistent and secure data management, such as git-based version control systems.

Canonical page: https://skillsregistry.net/skills/getobyte-neuralvaultskill  
JSON: https://api.skillsregistry.net/v1/skills/getobyte-neuralvaultskill

## Description

Teaches AI agents to manage long-term NeuralVaultCore MCP memory securely and efficiently.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/getobyte/NeuralVaultSkill)

## 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": "getobyte-neuralvaultskill"
    }
  }
}
```

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