promptfoo/promptfoo
Promptfoo is a CLI and library for evaluating LLM applications, offering automated testing, red teaming, and vulnerability scanning for prompts, models, agents, and RAGs.
Awesome Infra for AI › LLM Evaluation & Testing
darkrishabh/agent-skills-eval
agent-skills-eval is a testing framework designed specifically for evaluating AI agent skills, particularly those conforming to the `agentskills.io` standard. Its core function is to empirically determine whether a specific skill improves an AI model's performance on a given task. The tool operates by running the same prompts twice: once with the agent skill loaded into context and once without (as a baseline). A designated 'judge' model then grades both outputs based on predefined assertions, providing a side-by-side comparison and a report highlighting the skill's impact. This allows developers to validate the utility of their agent skills with concrete evidence. The framework is decoupled from specific agent runtimes, making it versatile across different skill implementations. It features `with_skill` vs `without_skill` comparisons, judge-graded outputs, a TypeScript SDK and CLI for custom pipelines or CI integration, and compatibility with OpenAI-like API providers. It also supports tool-call assertions, portable JSON/JSONL artifacts for data analysis, and generates static HTML reports for easy sharing.
https://github.com/darkrishabh/agent-skills-eval
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