Worker Benchmarks
技能 已验证 活跃Run comprehensive worker system benchmarks and performance analysis
To provide users with a robust tool for measuring and analyzing the performance of their agentic-flow worker systems, enabling optimization and identification of bottlenecks.
功能
- Run comprehensive worker system benchmarks
- Analyze performance metrics (latency, throughput, memory)
- Support for multiple benchmark types (trigger-detection, registry, agent-selection, etc.)
- Configurable benchmark thresholds via settings.json
- Detailed output format with summary and individual results
使用场景
- Benchmarking worker system performance before production deployment
- Identifying performance bottlenecks in specific worker operations
- Tuning system configurations for optimal agentic-flow performance
- Validating performance improvements after code changes
非目标
- Benchmarking external services or LLM providers directly
- Automated performance tuning based on benchmark results
- Functional testing of worker logic
先决条件
- Node.js (for CLI execution)
- npm or npx (for installation)
- Agentic Flow worker system installed and configured
安装
npx skills add ruvnet/ruflo通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
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