# Australian Heat Pump Hot Water Rebate & Payback

> ai.sourcemill/au-hot-water-payback — ai-sourcemill-au-hot-water-payback. Use this tool when you need to compare the costs and payback periods of heat pump and gas hot water systems in Australia, taking into account rebates and net outlay by postcode. It solves problems related to making informed decisions about hot water system investments, providing a verdict on the most cost-effective option. The tool accepts postcode as input and outputs a payback period verdict, helping users make decisions in the context of Australian energy efficiency and cost savings.

Canonical page: https://skillsregistry.net/skills/ai-sourcemill-au-hot-water-payback  
JSON: https://api.skillsregistry.net/v1/skills/ai-sourcemill-au-hot-water-payback

## Description

Heat pump vs gas hot water (AU): rebate stack, net outlay and payback verdict by postcode.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-29

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.sourcemill%2Fau-hot-water-payback)

## Use it

MCP endpoint published by the skill: `https://heatpump.sourcemill.ai/mcp`

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": "ai-sourcemill-au-hot-water-payback"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-sourcemill-au-hot-water-payback` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-sourcemill-au-hot-water-payback/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