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Window evaluated: last 24 full hours (UTC) — 2026-07-09T13:26:10Z → 2026-07-10T13:26:10Z
Total runs analyzed: 82
Detection-enabled runs: 29 (35%)
Regular runs: 53 (65%)
Misconfigured workflows found: 7
Warning
7 workflow(s) show detection misconfigurations. Detection-enabled runs had a higher success rate (89.7% vs 77.4%) this window, so closing these gaps is worthwhile.
Add gh-aw-detection: true to the frontmatter of this monitoring/analysis workflow.
Note
No detection-job failures (Type 3) detected. Three detection-enabled runs failed this window (Daily Elixir Credo Snippet Audit, Daily Max Ai Credits Test, GitHub Remote MCP Authentication Test), but in every case the detection job itself succeeded — the failures occurred in the agent job and are unrelated to the detection feature. No Type 4 (inconsistent detection state) was observed.
Detection adoption has grown steadily over the trailing 30-day window, with detection-enabled runs typically sustaining an 80–95% success-rate band.
Recommendations
Enable detection on analysis/report workflows. Six audit/analysis workflows (Duplicate Code Detector, Static Analysis Report, GitHub MCP Structural Analysis, Daily Agentic Workflow AIC Usage Audit, Copilot Agent Prompt Clustering Analysis, Typist - Go Type Analysis) lack gh-aw-detection: true. Add the flag to their frontmatter so these monitoring workflows gain detection coverage.
Review Smoke CI's explicit opt-out. It ran 8 times this window with gh-aw-detection: false. If the opt-out is intentional (CI smoke path), document why; otherwise remove the flag.
Track the agent-job failures. The 3 detection-enabled failures are agent-side, not detection-side — triage them separately from this detection audit.
Keep leveraging detection. Detection-enabled runs outperformed regular runs on success rate (89.7% vs 77.4%) this window, reinforcing the value of broader adoption.
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Summary
2026-07-09T13:26:10Z→2026-07-10T13:26:10ZWarning
7 workflow(s) show detection misconfigurations. Detection-enabled runs had a higher success rate (89.7% vs 77.4%) this window, so closing these gaps is worthwhile.
Comparison Chart
Metrics
Misconfigured Workflows
gh-aw-detection: false(or set true) so this frequently-run workflow benefits from detection.gh-aw-detection: truegh-aw-detection: trueto the frontmatter of this monitoring/analysis workflow.gh-aw-detection: truegh-aw-detection: trueto the frontmatter of this monitoring/analysis workflow.gh-aw-detection: truegh-aw-detection: trueto the frontmatter of this monitoring/analysis workflow.gh-aw-detection: truegh-aw-detection: trueto the frontmatter of this monitoring/analysis workflow.gh-aw-detection: truegh-aw-detection: trueto the frontmatter of this monitoring/analysis workflow.gh-aw-detection: truegh-aw-detection: trueto the frontmatter of this monitoring/analysis workflow.Note
No detection-job failures (Type 3) detected. Three detection-enabled runs failed this window (Daily Elixir Credo Snippet Audit, Daily Max Ai Credits Test, GitHub Remote MCP Authentication Test), but in every case the
detectionjob itself succeeded — the failures occurred in theagentjob and are unrelated to the detection feature. No Type 4 (inconsistent detection state) was observed.View All Run Metrics
View Historical Trend
Detection adoption has grown steadily over the trailing 30-day window, with detection-enabled runs typically sustaining an 80–95% success-rate band.
Recommendations
gh-aw-detection: true. Add the flag to their frontmatter so these monitoring workflows gain detection coverage.Smoke CI's explicit opt-out. It ran 8 times this window withgh-aw-detection: false. If the opt-out is intentional (CI smoke path), document why; otherwise remove the flag.References:
Warning
Firewall blocked 1 domain
The following domain was blocked by the firewall during workflow execution:
awmgmcpgSee Network Configuration for more information.
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