# knoten

> knoten — by571-knoten. Use this tool when you need to track and manage research experiments, ensuring reproducibility and avoiding redundant work. Knoten enables coding agents to query and commit to a research graph, storing information on failed experiments and providing valuable insights for future iterations. Ideal for use cases where experiment tracking and reproducibility are crucial, knoten streamlines the research process by accepting experiment data as input and outputting actionable knowledge.

Canonical page: https://skillsregistry.net/skills/by571-knoten  
JSON: https://api.skillsregistry.net/v1/skills/by571-knoten

## Description

Enables coding agents to query and commit to a research graph that remembers failed experiments, ensuring reproducibility and preventing redundant work.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ht35l0kv5e)
- **Repository:** <https://github.com/BY571/knoten>

## 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": "by571-knoten"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/by571-knoten` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/by571-knoten/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