Ingest OTLP telemetry into DuckDB and export benchmark reports via HTTP API.
npx skills add https://github.com/Mesh-LLM/mesh-llm --skill metrics-server
Please help me install this Agent Skill. Skill: metrics-server Source: https://github.com/Mesh-LLM/mesh-llm/tree/main/.agents/skills/metrics-server Command: npx skills add https://github.com/Mesh-LLM/mesh-llm --skill metrics-server
Benchmark telemetry data is often fragmented across experiments and runs. metrics-server centralizes ingestion, lifecycle management, and report export for reliable benchmarking.
Start metrics-server to collect telemetry and generate benchmark reports.
High-intent search queries and answers about installing and using this skill.
To store OTLP telemetry data for benchmark suites, metrics-server ingests streams directly into a DuckDB-backed store, centralizing run lifecycle management and coordinating benchmark stages for reliable data collection.
To export standardized benchmark reports, metrics-server orchestrates report generation via an HTTP API, outputting files like report.json from stored telemetry data.
Yes, you can use DuckDB to manage benchmark telemetry lifecycle and stage-run workflows. metrics-server applies DuckDB storage to centralize ingestion and coordinate OTLP data across benchmark stages.
Yes, metrics-server supports receiving telemetry data from OTLP endpoints. It ingests OTLP streams, stores them in DuckDB, and coordinates benchmark stages with the collected telemetry data.
Centralizing benchmark telemetry data prevents fragmentation across experiments and runs. metrics-server provides a DuckDB-backed store and lifecycle management to ensure reliable benchmarking and standardized report exports.
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