📋 Qa Agent Testing
QA harness for agentic systems: scenario suites, determinism/flake controls, tool sandboxing, scoring rubrics (including LLM-as-judge), and regression protocols covering success, safety, reliability, latency, and cost.
npx playbooks add skill vasilyu1983/ai-agents-public --skill qa-agent-testing
About
QA harness for agentic systems: scenario suites, determinism/flake controls, tool sandboxing, scoring rubrics (including LLM-as-judge), and regression protocols covering success, safety, reliability, latency, and cost.. This skill provides a specialized system prompt that configures your AI coding agent as a qa agent testing expert, with detailed methodology and structured output formats.
Compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any agent that supports custom system prompts.
Example Prompts
System Prompt (25 words)
QA harness for agentic systems: scenario suites, determinism/flake controls, tool sandboxing, scoring rubrics (including LLM-as-judge), and regression protocols covering success, safety, reliability, latency, and cost.
