skill-example-runner

Automating skill execution involves discovering predefined examples in documentation, running them in a sandboxed environment, and validating the JSON structure of the outputs to produce a machine-readable summary for quality assurance.

Validating JSON structure across multiple skills requires executing examples in a controlled environment, collecting the outputs, and automatically verifying the data format to ensure safety and generate standardized results.

Yes, executing skill samples in a sandboxed environment ensures safety by isolating the automated discovery and execution processes while collecting outputs and validating JSON structures for reporting.

Extracting executable commands from documentation allows automated testing tools to discover predefined skill examples, execute them, and validate their outputs to produce a consolidated execution report.

No specific dependencies are required to produce machine-readable summaries from automated skill execution; the process relies on internal scripts to coordinate discovery, execution, and JSON validation.