# kru

> kru — zhdanov48693-kru. Use this tool when you need to securely manage sensitive credentials and passwords for AI agents without exposing plaintext. Kru solves the problem of protecting hidden credentials, such as API keys and SSH identities, while allowing AI models to use them. It provides a local-first interface for storing and retrieving credentials, with outputs compatible with git and other development tools.

Canonical page: https://skillsregistry.net/skills/zhdanov48693-kru  
JSON: https://api.skillsregistry.net/v1/skills/zhdanov48693-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:** 2026-10-17

## Source

- **Source listing:** [GitHub](https://github.com/Zhdanov48693/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": "zhdanov48693-kru"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zhdanov48693-kru` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zhdanov48693-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
