Compare model responses side by side via command-line interface.
npx skills add https://github.com/JGalego/Bag-of-Tricks --skill lineup
Please help me install this Agent Skill. Skill: lineup Source: https://github.com/JGalego/Bag-of-Tricks/tree/main/lineup Command: npx skills add https://github.com/JGalego/Bag-of-Tricks --skill lineup
The lineup Skill helps you compare responses from multiple models side by side, making it easier to select the best model for your needs or spot inconsistencies.
Run the lineup skill with the following command: lineup.py --prompt "Explain TCP in one sentence." --models "openai:gpt-4o,anthropic:claude-opus-4-8,gemini:gemini-2.5-flash"
High-intent search queries and answers about installing and using this skill.
To compare language model responses, run the lineup script via command line with a specified prompt and a list of model identifiers to display their outputs side by side for model selection and spotting disagreement.
The best way to spot disagreement between language models is to provide the exact same prompt to multiple models and compare their responses side by side to identify discrepancies and potential issues.
Yes, you can compare models from different providers like OpenAI and Anthropic by passing provider-prefixed model identifiers in the command line arguments to evaluate responses on the same prompt.
Yes, you need API access to multiple providers to compare model responses, as the lineup script requires dependencies on Anthropic, OpenAI, and Google Gemini to fetch responses from different models simultaneously.
To run a prompt comparison across multiple models, execute the lineup.py script with the --prompt flag containing your query and the --models flag listing the desired model identifiers separated by commas.
A limitation of comparing language model responses is that the lineup script operates strictly via a command-line interface and requires pre-configured API access to the specified providers to fetch and display results.
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