Orchestrate AI agent evaluation runs via the Coval CLI.
npx skills add https://github.com/coval-ai/coval-external-skills --skill launch-run-coval-ai
Please help me install this Agent Skill. Skill: launch-run Source: https://github.com/coval-ai/coval-external-skills/tree/main/skills/runs/launch-run Command: npx skills add https://github.com/coval-ai/coval-external-skills --skill launch-run-coval-ai
This skill removes the friction from the evaluation lifecycle by providing a standardized, automated interface to trigger and track AI agent performance tests.
Use the launch-run skill to start an evaluation for the agent named customer-support-bot using the test set regression-suite-01.
High-intent search queries and answers about installing and using this skill.
To automate AI agent evaluation runs, you can trigger simulations with specific agents and test sets, then monitor real-time progress through the Coval CLI interface. It orchestrates the execution lifecycle and provides direct links to track ongoing runs.
Yes, you can configure test sets and personas when launching AI agent benchmarks. The skill supports complex testing scenarios by allowing you to specify agent IDs, persona configurations, iteration counts, and concurrency levels in a single command.
Yes, active authentication with the Coval platform is required to trigger AI agent simulations via the CLI. This authentication manages the run lifecycle and monitors real-time progress for your evaluation tests.
The best way to run regression tests on a new AI agent version is to launch an evaluation run against a designated test set. This handles orchestration automatically and provides a direct link to monitor the regression test progress.
Automated evaluation orchestration for AI agents works by interfacing with the Coval CLI to trigger simulations. It removes friction from the evaluation lifecycle by standardizing the execution of tests involving specific agent IDs and configurable parameters.
The metadata does not specify exact limitations for adjusting concurrency levels, but the skill supports configurable concurrency and iteration counts to manage the execution of your AI agent evaluation runs effectively.
coval-aiRetrieves and parses simulation results from Coval evaluation platform via CLI.
DhumitechAutomate AI agent evaluation and benchmarking with repeatable test pipelines.
Pixel-Process-UGAnalyze tech stacks to recommend testing frameworks, pyramid ratios, and coverage thresholds.
vamseeachantaAnalyze performance data and generate optimization recommendations for engineering workflows.
