# GAX

> Use this tool when you need to streamline AI agent interactions with a flexible and efficient CLI framework. GAX solves problems of token management and tool discovery by exposing tools on demand, reducing overhead and enhancing governance controls. It accepts AI agent runtime inputs and outputs optimized tool configurations, making it ideal for use cases requiring dynamic and scalable AI agent integration.

Canonical page: https://skillsregistry.net/skills/0sparsh2-gax  
JSON: https://api.skillsregistry.net/v1/skills/0sparsh2-gax

## Description

Offers a CLI ergonomics framework designed for AI agents, featuring an MCP bridge adapter that enables lazy tool discovery and governance controls. Reduces token usage by exposing tools on demand rather than upfront. Built in Python with support for multiple AI agent runtimes.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/0sparsh2-gax)
- **Repository:** <https://github.com/0sparsh2/gax>

## 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": "0sparsh2-gax"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0sparsh2-gax` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0sparsh2-gax/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