# io.github.zerodustxyz/zerodust

> Use this tool when you need to manage native gas tokens across multiple blockchain networks. It solves the problem of residual gas token balances by sweeping them to exactly zero, supporting 25+ EVM chains. The tool utilizes AI agents to automate this process, taking in blockchain data as input and producing optimized gas token management as output.

Canonical page: https://skillsregistry.net/skills/io-github-zerodustxyz-zerodust  
JSON: https://api.skillsregistry.net/v1/skills/io-github-zerodustxyz-zerodust

## Description

Sweep native gas tokens to exactly zero across 25+ EVM chains via AI agents.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.zerodustxyz%2Fzerodust)
- **Repository:** <https://github.com/zerodustxyz/zerodust>

## 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": "io-github-zerodustxyz-zerodust"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-zerodustxyz-zerodust` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-zerodustxyz-zerodust/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