# zymi-core

> zymi-core — metravod-zymi-core. Use this tool when you need to manage complex agent workflows with transparency and control, solving problems of auditability and reproducibility in automated pipelines. It takes in declarative YAML configurations and outputs event-sourced, replayable, and approval-gated workflows, integrating with git for version control. Ideal for use cases requiring high levels of accountability and reliability in automated decision-making processes.

Canonical page: https://skillsregistry.net/skills/metravod-zymi-core  
JSON: https://api.skillsregistry.net/v1/skills/metravod-zymi-core

## Description

The auditable MCP backend for agents — tools as declarative YAML pipelines: event-sourced, replayable, approval-gated.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/metravod/zymi-core)

## 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": "metravod-zymi-core"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/metravod-zymi-core` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/metravod-zymi-core/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