# HAL (HTTP API Layer)

> Use this tool when you need to provide a standardized interface for Large Language Models, enabling them to interact with external systems via HTTP API. HAL solves the problem of integrating language models with web-based applications, allowing for seamless communication and data exchange. It accepts HTTP requests as input and returns API responses as output, making it ideal for use cases that require model-context interaction over the web.

Canonical page: https://skillsregistry.net/skills/deanward-hal  
JSON: https://api.skillsregistry.net/v1/skills/deanward-hal

## Description

HAL (HTTP API Layer) is a Model Context Protocol (MCP) server that provides HTTP API capabilities to Large Language Models.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iqcus1n7ee)
- **Repository:** <https://github.com/DeanWard/HAL>

## 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": "deanward-hal"
    }
  }
}
```

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