# HuangtingFlux Hub

> HuangtingFlux Hub — xiandao-labs-huangting-flux-hub. Use this tool when you need to optimize AI prompt processing and reduce token costs. The HuangtingFlux Hub provides a guided three-stage standard operating procedure (SOP) for AI agents, taking in prompts and outputting compressed versions with associated token costs. Ideal for applications where token efficiency is crucial, this tool helps minimize expenses while maintaining performance.

Canonical page: https://skillsregistry.net/skills/xiandao-labs-huangting-flux-hub  
JSON: https://api.skillsregistry.net/v1/skills/xiandao-labs-huangting-flux-hub

## Description

Provides an MCP server that guides AI agents through a mandatory three-stage SOP to compress prompts and report token costs, reducing token usage by up to 40%.

## Trust

- **Trust score (0–1):** 0.69
- **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/atmoa3whad)
- **Repository:** <https://github.com/XianDAO-Labs/huangting-flux-hub>

## 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": "xiandao-labs-huangting-flux-hub"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xiandao-labs-huangting-flux-hub` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xiandao-labs-huangting-flux-hub/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
