# codex-hermes-worker

> codex-hermes-worker — ranjiang23-codex-hermes-worker. Use this tool when you need to delegate bounded work to AI models, such as Hermes Agent and local Qwen, for restricted batch or trusted full execution modes. It solves problems related to workload management and AI model integration, providing a Windows-first, dual-mode bridge for efficient task execution. The tool accepts input via an OpenAI-compatible endpoint and outputs results from the delegated work, making it suitable for applications requiring secure and controlled AI model interactions.

Canonical page: https://skillsregistry.net/skills/ranjiang23-codex-hermes-worker  
JSON: https://api.skillsregistry.net/v1/skills/ranjiang23-codex-hermes-worker

## Description

A Windows-first, dual-mode MCP bridge that delegates bounded work to Hermes Agent and a local Qwen model via an OpenAI-compatible endpoint, providing restricted batch or trusted full execution modes.

## Trust

- **Trust score (0–1):** 0.41
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i8ubg6z5mq)
- **Repository:** <https://github.com/RANJIANG23/codex-hermes-worker>

## 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": "ranjiang23-codex-hermes-worker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ranjiang23-codex-hermes-worker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ranjiang23-codex-hermes-worker/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
