# Daimonos

> Use this tool when you need to streamline AI coding workflows by replacing verbose terminal output with structured JSON responses. Daimonos solves problems related to token consumption, file operations, and command execution, providing tools for regex, file search, and batch operations. It is ideal for use cases involving Git, Cargo, GitHub CLI, and Docker, with a simple stdio-based interface for input and output.

Canonical page: https://skillsregistry.net/skills/beardfaceguy-daimonos  
JSON: https://api.skillsregistry.net/v1/skills/beardfaceguy-daimonos

## Description

Daimonos is an agent-optimized OS layer that replaces verbose terminal output with structured JSON responses, reducing token consumption in AI coding workflows. It provides tools for file operations, regex and file search, command execution with semantic filtering, and batch operations, with native plugins for Git, Cargo, GitHub CLI, and Docker. The server is written in Rust and runs via stdio.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/beardfaceguy-daimonos)
- **Repository:** <https://github.com/beardfaceguy/daimonos>

## 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": "beardfaceguy-daimonos"
    }
  }
}
```

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