gh-models
OfficialRun and evaluate GitHub AI models via CLI
Software Engineering#regression testing#prompt generation#prompt evaluation#github models#cli inference#terminal workflows#prompt assets
AuthorCogni-AI-OU
Version1.0.0
Installs0
System Documentation
What problem does it solve?
gh-models eliminates the manual, error-prone workflow of running AI prompts and then forgetting to verify quality changes, by helping you execute and evaluate prompts directly from the terminal.
Core Features & Use Cases
- Run prompts with context: Inference using
gh models run, including REPL usage for exploration and piping real repo content (issues/PRs/events) as input. - Evaluate prompts with guardrails: Regression-style testing using
gh models eval, producing structured pass/fail results and scores from test cases and scorers. - Generate test suites from prompts: Automatically create robust prompt evaluations with
gh models generate, then immediately run eval to catch regressions early (PromptPex methodology).
Quick Start
Use the gh-models skill to run a single prompt against a GitHub Models model and store the response into an output file by providing a prompt asset and redirecting the result from the command output.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: gh-models Download link: https://github.com/Cogni-AI-OU/cogni-ai-agent-skills/archive/main.zip#gh-models Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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