llm-eval vs Amicus
llm-eval is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑18.
llm-eval is a plugin bundle for AI coding tools published by barnburner121. No marketplace we read lists it any more. Amicus is an MCP server published by BourbonDog. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-29. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.
Where each is published
| Marketplace |  Amicus | |
|---|---|---|
| Community marketplace barnburner121/claude-plugin-marketplace | Removed on 2026-10-18 Version: 1.0.0 Forks (GitHub): 0 Stars (GitHub): 3 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 4.14.3 Downloads/month (npm): 2 921 Downloads/week (npm): 718 Forks (GitHub): 0 Stars (GitHub): 2 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | llm-evalno longer listed · | Amicus |
|---|---|---|
| Marketplaces that list it (differs) | 0 | 1 |
| Stars (GitHub) (differs) | 3 | 2 |
| Forks (GitHub) | 0 | 0 |
| Last release (differs) | Not published | 2026-10-14 |
| Where it runs (differs) | On your machine (@barnburner121/plugin-hub-mcp) | On your machine (amicus) |
| Transport (differs) | Not stated | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for (differs) | Not published | 2, secrets among them: 1 |
| Parts of the bundle (differs) | 2 | Not a bundle |
| Licence | MIT | MIT |
| Repository (differs) | github.com/barnburner121/claude-plugin-marketplace | github.com/bourbondog/amicus |
| Changes in the last 7 days | 0 | 0 |
| First seen (differs) | 2026-10-14 | 2026-10-11 |
Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.
What to use instead of llm-eval
Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.
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Decide, design, gate, judge, and defend evaluations for LLM, agent, and retrieval systems. Not ordinary unit tests.
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Configures and runs LLM evaluation using Promptfoo framework. Use when setting up prompt testing, creating evaluation configs (promptfooconfig.yaml), writing Python custom…
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2 AI engineering skills: LLM evals and LLM observability
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Compare text LLMs across OpenRouter, Bedrock, Vertex AI and Foundry with automated grading.
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Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
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Benchmark, evaluate, and optimize skills to ensure reliable performance across all LLMs
What each says it does
llm-eval
Generate LLM evaluation and benchmarking
Amicus
Multi-model LLM Council and parallel AI window for Claude Code. Fork any model, fold results back.
How to run each
llm-eval
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Amicus As a local MCP server: npm package
claude mcp add --env "OPENROUTER_API_KEY=<YOUR_OPENROUTER_API_KEY>" --transport stdio amicus -- npx -y amicus mcpRequires: OPENROUTER_API_KEY (secret)
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
Neither one's marketplaces publish a list of tools, so there is nothing to compare.
Settings each asks for
The marketplaces of llm-eval publish no settings it asks for, so we do not compare settings.
What it can do: llm-eval · What it can do: Amicus · Compare two other plugins
Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.