Workflow Optimization Report: December 2025 Analysis
Are you looking to streamline your GitHub Actions workflows and maximize efficiency? This Workflow Optimization Report for December 2025 provides a detailed analysis of workflow runs within the austenstone/copilot-cli repository. This report dives deep into key metrics, identifies critical issues, and highlights opportunities for improvement. If you're aiming to reduce waste, optimize performance, and ensure smooth workflow execution, keep reading!
📊 Executive Summary: Key Findings
This report focuses on analyzing the last 100 workflow runs to pinpoint areas for optimization within GitHub Actions workflows. The analysis reveals significant waste stemming from skipped runs, recurring flaky test patterns in the Fake CI workflow, and potential enhancements in caching mechanisms. Understanding these findings is crucial for enhancing the overall efficiency and reliability of your workflows.
Key Metrics Overview
Let's take a quick look at the key metrics that shape our understanding of the workflow performance:
- Overall Success Rate: 56%
- Total Failures: 6 (6%)
- Wasted Runs (Cancelled/Skipped): 37 (37%)
- Average Queue Time: Less than 1 second (Excellent)
- Total Workflows: 18 unique workflows
These metrics provide a bird's-eye view of the current state, highlighting areas of strength and those needing attention. The success rate and wasted runs, in particular, are critical indicators of workflow health.
Digging Deeper into the Summary Table
The following table provides a detailed breakdown of individual workflow performance. We'll examine run counts, success rates, average durations, and flake rates for each workflow.
| Workflow | Runs | Success Rate | Avg Duration | Min/Max | Flake Rate | Status |
|---|---|---|---|---|---|---|
| copilot-ci-fix.yml | 31 | 3% | 23s | 0s / 334s | N/A | ⚠️ High waste |
| test-copilot.yml | 18 | 100% | 39s | 34s / 43s | 0% | ✅ Healthy |
| Push on main | 14 | 100% | 58s | 53s / 62s | 0% | ✅ Healthy |
| Fake CI | 7 | 14% | 7s | 6s / 9s | 85% | 🔴 Critical |
| copilot-comment.yml | 6 | 33% | 18s | 0s / 57s | N/A | ⚠️ Medium waste |
| copilot-actions-report.yml | 5 | 60% | 125s | 1s / 318s | N/A | ⚠️ Variable perf |
| copilot-dependabot-update.yml | 5 | 100% | 133s | 111s / 150s | 0% | ✅ Healthy |
| copilot-usage-report.yml | 4 | 75% | 160s | 34s / 274s | N/A | ⚠️ Variable perf |
| copilot-labeler.yml | 1 | 100% | 64s | - | 0% | ✅ Healthy |
This summary table immediately highlights workflows with high waste, critical failures, and variable performance. Let's zoom in on the most critical findings.
🚨 Critical Findings: Addressing Key Issues
Three significant issues demand immediate attention:
