# Thermal-Agent

> Thermal-Agent — atayloraerospace-thermal-agent. Use this tool when you need to mitigate thermal drift in deep space photonic instruments, as it recommends strategies to minimize material and environmental impacts. The Thermal-Agent tool takes in material and environment combinations as inputs and outputs tailored mitigation strategies using a physics simulator and XGBoost classifier. Ideal for use in space exploration and instrumentation development, it runs on AWS Bedrock or self-hosted open-weight models.

Canonical page: https://skillsregistry.net/skills/atayloraerospace-thermal-agent  
JSON: https://api.skillsregistry.net/v1/skills/atayloraerospace-thermal-agent

## Description

Tool using agent and physics simulator that recommends thermal drift mitigation strategies for deep space photonic instruments across material and environment combinations. Runs on AWS Bedrock or a self-hosted open-weight model, grounded in a 40K scenario knowledge store and an XGBoost classifier.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ATaylorAerospace/Thermal-Agent)

## 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": "atayloraerospace-thermal-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/atayloraerospace-thermal-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/atayloraerospace-thermal-agent/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
