metricslisted

# Agent Metrics Collection Utility ## Purpose This utility collects and reports metrics on agent usage from git history. It collects 4 of the metrics defined in `docs/agent-metrics.md` (Invocation Rate, Coverage, Infrastructure Review, Usage Distribution) for measuring agent system health, effectiveness, and adoption. ## Triggers | Trigger Phrase | Operation | |----------------|-----------| | `collect agent metrics` | Run collect_metrics.py with default 30-day window | | `generate metrics dashboard` | Run with markdown output for reporting | | `check agent adoption rate` | Run and highlight Metric 2 (agent coverage) | | `weekly metrics report` | Run with 7-day window, markdown output | | `export metrics as JSON` | Run with JSON output for automation | --- ## When to Use Use this skill when: - Measuring agent system health or adoption trends - Producing periodic dashboards or reports - Evaluating whether agent usage is balanced across types - Checking infrastructure review coverage Use manual git log inspection instead when: - Investigating a single commit's agent attribution - Debugging a specific CI run's metrics workflow --- ## Process 1. Run the metrics collection script for the desired time range 2. Review generated reports for agent usage patterns 3. Identify trends and anomalies in adoption metrics --- ## Anti-Patterns | Avoid | Why | Instead | |-------|-----|---------| | Running without specifying time window | Default 30 days may not match your intent