# VKLP

> VKLP — zeittresor-vklp. Use this tool when you need to establish a verifiable shared knowledge layer for local or remote Large Language Models (LLMs), enabling model-independent collaboration and data consistency. It solves problems related to data integrity, model transparency, and knowledge sharing across different LLMs. The VKLP prototype accepts knowledge inputs and outputs verified shared knowledge layers, ideal for use cases requiring trusted and reliable LLM interactions.

Canonical page: https://skillsregistry.net/skills/zeittresor-vklp  
JSON: https://api.skillsregistry.net/v1/skills/zeittresor-vklp

## Description

A research prototype for a model-independent, verifiable shared knowledge layer for local or remote LLMs

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/zeittresor/VKLP)

## 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": "zeittresor-vklp"
    }
  }
}
```

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