Agento11y Test Starter

Use early in an AI-agent project — before ship, before real traffic — to build a starter test suite for the agent and run it offline. Reads the agent's own code (system prompt, tools, task), writes a labeled draft suite of test cases (happy/edge/adversarial) grounded in real lines, and recommends how to score each case (the evaluators/judges the offline runner uses). Assesses how runnable the agent is: for an easily-invoked agent it generates a runner stub (run_experiment.py) with two holes to fill and can optionally run it (only with permission, only against the endpoint the developer configured); for agents needing a harness or full runtime it points to the existing eval infra. It runs OFFLINE and never creates tenant-level evaluators, rules, or guards — that is `agento11y-prod-setup`, for a deployed agent with real traffic. Trigger on phrases like "how do I test my agent before shipping", "write test cases for my agent", "set up tests for my agent", "check my agent before prod", "I have no traffic yet, how do I evaluate it", "test my agent offline".

mkdir -p ~/.claude/skills/agento11y-test-starter
curl -L https://claudskills.com/skills/agento11y-test-starter/SKILL.md \
  -o ~/.claude/skills/agento11y-test-starter/SKILL.md

@misc{agento11y-test-starter-2026,
  author    = {grafana},
  title     = {Agento11y Test Starter [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/agento11y-test-starter/}
}