# Astro-LLM

> Use this tool when you need to evaluate and compare the performance of large language models (LLMs) through daily capability benchmarks and value alignment tests. Astro-LLM solves problems related to model selection, value matching, and dilemma resolution, providing outputs such as model scores and almanac data through an interface that allows listing models, judging dilemmas, and matching user values. Ideal for use cases where accurate model assessment and alignment with user values are crucial.

Canonical page: https://skillsregistry.net/skills/ethanpany-astro-llm  
JSON: https://api.skillsregistry.net/v1/skills/ethanpany-astro-llm

## Description

An MCP server that enables agents to evaluate LLMs daily through capability benchmarks and value alignment tests, providing tools to list models, get almanac, judge dilemmas, match user values, and score models.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mftvy98jvo)
- **Repository:** <https://github.com/EthanPany/astro-llm>

## 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": "ethanpany-astro-llm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ethanpany-astro-llm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ethanpany-astro-llm/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