querying-mlflow-metrics
✓Fetches aggregated trace metrics (token usage, latency, trace counts, quality evaluations) from MLflow tracking servers. Triggers on requests to show metrics, analyze token usage, view LLM costs, check usage trends, or query trace statistics.
Installation
SKILL.md
Run scripts/fetchmetrics.py to query metrics from an MLflow tracking server.
Output: Average and median scores for each evaluator (e.g., correctness, relevance)
| -s, --server | Yes | MLflow server URL | | -x, --experiment-ids | Yes | Experiment IDs (comma-separated) | | -m, --metric | Yes | tracecount, latency, inputtokens, outputtokens, totaltokens | | -a, --aggregations | Yes | COUNT, SUM, AVG, MIN, MAX, P50, P95, P99 | | -d, --dimensions | No | Group by: tracename, tracestatus |
Fetches aggregated trace metrics (token usage, latency, trace counts, quality evaluations) from MLflow tracking servers. Triggers on requests to show metrics, analyze token usage, view LLM costs, check usage trends, or query trace statistics. Source: mlflow/skills.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/mlflow/skills --skill querying-mlflow-metrics- Source
- mlflow/skills
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-11
- Updated
- 2026-02-18
Quick answers
What is querying-mlflow-metrics?
Fetches aggregated trace metrics (token usage, latency, trace counts, quality evaluations) from MLflow tracking servers. Triggers on requests to show metrics, analyze token usage, view LLM costs, check usage trends, or query trace statistics. Source: mlflow/skills.
How do I install querying-mlflow-metrics?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/mlflow/skills --skill querying-mlflow-metrics Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/mlflow/skills
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-11