AgentHub Models

by Prism-Shadow

AgentHub Models is an AI Engineering skill for Claude Code, published by Prism-Shadow in penguin-harness.

1.5K stars150 forkson Prism-Shadow/penguin-harnessAdded 2026/08/19+21% in starsRepository updated 2026/08/19

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Install in seconds

Install AgentHub Models

Copy AgentHub Models into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/Prism-Shadow/penguin-harness/tree/main/packages/skills/skills/agenthub-models ~/.claude/skills/agenthub-models

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Prism-Shadow/penguin-harness.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: packages/skills/skills/agenthub-models/SKILL.md in Prism-Shadow/penguin-harness
Installs to: ~/.claude/skills/agenthub-models
Collection: One of 21 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What AgentHub Models does

AgentHub Models calls model APIs through @prismshadow/agenthub for streaming text, image generation, speech synthesis, embeddings, and the supported-model registry with one client. Use it when building AI apps that need a single TypeScript client for multiple model providers.

AgentHub Models is cataloged under AI Engineering on DirSkills. AgentHub Models comes from a repository tagged agent, agentic-ai, ai, build-tool and claude-code.

Documentation

README

Excerpt

AgentHub Model APIs

@prismshadow/agenthub is a unified TypeScript client for model APIs: streaming text, image generation, speech synthesis and embeddings behind one entry point.

npm install @prismshadow/agenthub

The main entry point is AutoLLMClient:

import { AutoLLMClient } from "@prismshadow/agenthub";

const client = new AutoLLMClient({ model: "<model_id>", apiKey: "<key>", baseUrl: "<url>", clientType: "<type>" });

apiKey, baseUrl and clientType are optional (see routing below). The package also exports listSupportedModels (the model registry) and the error classes AgentHubError, UnsupportedParameterError, EmptyResponseError and ToolCallArgumentParseError.

Before you start

This is the opening of the README. Read the full README on GitHub.

Frequently asked about AgentHub Models

What else does Prism-Shadow publish alongside AgentHub Models?
AgentHub Models is one of 21 skills that DirSkills catalogs from Prism-Shadow/penguin-harness, the repository it ships in. Its siblings there include Agent Creation, Agent Evaluation and Agent Optimization. Each one is a separate skill with its own page in this directory, installs the same way AgentHub Models does, and is maintained by Prism-Shadow in that same repository. The rest of the collection is listed on the Prism-Shadow/penguin-harness page.
How does AgentHub Models compare to other AI Engineering skills?
AgentHub Models ranks #989 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of AgentHub Models against them. Open each page to compare what they document and how they install.