Skill Bench

Skill Bench is a platform built for developers to measure and improve their AI agent skills. It helps users test, grade, and release dependable AI skills with automated evaluations.

Benefits

Skill Bench provides automated execution that runs tests using Claude-3, including settings for how long tests can run and automatic attempts if they fail. The grading system is based on clear evidence. A separate grader scores each part of a response by quoting the evidence used, so there is no confusion about how scores are given. The results are shared directly on pull requests as reports showing whether tests passed or failed, with a detailed breakdown for each skill. An interactive viewer lets users see all the grading details, compare benchmark results, and look at specific data.

Use Cases

Skill Bench allows for running multiple evaluations at the same time using a strategy that supports parallel execution within a CI pipeline. It also offers smart targeting, which means only the skills that have changed in a pull request are evaluated. This skips skills that haven't been changed, keeping feedback loops quick. To use Skill Bench, developers write evaluation cases in YAML files next to their skills. They then add the Skill-Bench GitHub Action to their workflow, providing the paths to their skills and API keys. After this, they receive automated grading with scores backed by evidence as comments on their pull requests.

Pricing

Skill Bench is open-source and free to use.

Additional Information

Skill Bench can be set up in under five minutes.