# hive-mcp-auction

> Use this tool when you need to automate a reverse Dutch auction process, solving problems of dynamic pricing and efficient resource allocation in a competitive environment. It takes input parameters such as initial price and decrement rate, and outputs the optimal auction outcome. Ideal for use cases in game theory, economics, and resource management, where strategic bidding and price discovery are crucial.

Canonical page: https://skillsregistry.net/skills/srotzin-hive-mcp-auction  
JSON: https://api.skillsregistry.net/v1/skills/srotzin-hive-mcp-auction

## Description

Reverse Dutch auction agent — Hive Civilization

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/srotzin/hive-mcp-auction)

## 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": "srotzin-hive-mcp-auction"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/srotzin-hive-mcp-auction` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/srotzin-hive-mcp-auction/pull`

---
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