# kru

> kru — yuqi69992-kru. Use this tool when you need to securely manage sensitive credentials and passwords for AI agents, solving the problem of exposing plaintext secrets to models. Kru provides a local-first approach to storing and retrieving passwords, API keys, SSH identities, and TOTP, with input/output interfaces for git integration. It is ideal for use cases where credential security and privacy are paramount.

Canonical page: https://skillsregistry.net/skills/yuqi69992-kru  
JSON: https://api.skillsregistry.net/v1/skills/yuqi69992-kru

## Description

Local-first MCP password and credential manager for AI agents. Use passwords, API keys, SSH identities, and TOTP without exposing hidden plaintext to the model.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-10-16

## Source

- **Source listing:** [GitHub](https://github.com/Yuqi69992/kru)

## 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": "yuqi69992-kru"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yuqi69992-kru` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yuqi69992-kru/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