🏥 Safe Output Health Report - December 4, 2025

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🏥 Safe Output Health Report - December 4, 2025

The safe output system is operating at 100% success rate with no failures detected in the last 24 hours. All 30 safe output jobs across 48 workflow runs executed successfully.

Executive Summary

• Period: Last 24 hours (Dec 3, 2025 00:43 UTC - Dec 4, 2025 00:43 UTC)
• Runs Analyzed: 48 workflow runs
• Workflows Active: 6 unique workflows
• Safe Output Jobs Executed: 30 jobs
• Safe Output Jobs Failed: 0 jobs
• Error Clusters Identified: 0 clusters
• Overall Success Rate: 100.0% ✅

Safe Output Job Statistics

Job Type	Total Executions	Failures	Success Rate
add_labels	13	0	100% ✅
add_comment	10	0	100% ✅
create_issue	3	0	100% ✅
create_discussion	2	0	100% ✅
push_to_pull_request_branch	2	0	100% ✅
create_pull_request	0	0	N/A
create_pull_request_review_comment	0	0	N/A
update_issue	0	0	N/A
missing_tool	0	0	N/A

Workflow Distribution

Safe output jobs were executed across the following workflows:

Workflow	Safe Output Jobs
Smoke Copilot Playwright	9
Smoke Copilot No Firewall	6
Smoke Codex	6
Smoke Claude	4
Smoke Copilot	4
Changeset Generator	2

Error Clusters

No error clusters identified. All safe output jobs completed successfully without errors.

Root Cause Analysis

Since there were no failures in the last 24 hours, no root cause analysis is required. The safe output system is functioning as expected.

API-Related Issues

✅ No issues detected

• No API rate limit errors
• No authentication failures
• No permission issues

Data Validation Issues

✅ No issues detected

• All agent outputs parsed correctly
• No JSON validation errors
• No missing required fields

Permission Issues

✅ No issues detected

• All GITHUB_TOKEN permissions adequate
• No repository access issues

Other Issues

✅ No issues detected

Positive Observations

The following positive trends were observed:

1. Perfect Success Rate: 100% of safe output jobs completed successfully
2. Diverse Job Types: Multiple job types (add_labels, add_comment, create_issue, create_discussion, push_to_pull_request_branch) all functioning correctly
3. Multiple Workflows: Safe output jobs working across 6 different workflows
4. Stable Performance: No intermittent failures or performance degradation
5. API Reliability: No GitHub API errors or rate limiting issues

Recommendations

No Critical Issues

Since all safe output jobs are operating at 100% success rate, there are no critical issues requiring immediate action.

Process Improvements

Even with perfect performance, here are some proactive recommendations to maintain system health:

1. Continue Monitoring

   • Current State: Daily health audits are detecting issues effectively
   • Recommendation: Maintain current monitoring cadence
   • Benefits: Early detection of any future issues

2. Expand Test Coverage

   • Observation: Some job types (create_pull_request, create_pull_request_review_comment, update_issue) had zero executions
   • Recommendation: Consider adding test workflows that exercise these less-used job types
   • Benefits: Ensures these job types remain functional and catch regressions early

3. Performance Baseline

   • Current State: Jobs completing successfully but no performance metrics tracked
   • Recommendation: Track job execution duration to establish performance baselines
   • Benefits: Detect performance degradation before it becomes critical

Historical Context

This is the first audit recorded in the safe output health monitoring system. Future audits will compare trends and identify patterns over time.

Trends

• Error rate trend: N/A (first audit)
• Most common recurring issue: None detected
• Improvement since last audit: N/A (first audit)

Metrics and KPIs

• Overall Safe Output Success Rate: 100.0% ✅
• Most Reliable Job Type: All job types at 100% success rate
• Most Problematic Job Type: None (all successful)
• Most Active Job Type: add_labels (13 executions)
• Average Time to Failure: N/A (no failures)

Next Steps

✅ No immediate action required - system is healthy

Recommended follow-up actions:

• Continue daily monitoring
• Review and expand test coverage for unused job types
• Establish performance baselines for job execution times
• Document best practices from successful implementations

Audit Metadata

• Audit Date: 2025-12-04
• Analysis Tool: gh-aw MCP server (audit tool)
• Logs Location: /tmp/gh-aw/aw-mcp/logs
• Cache Location: /tmp/gh-aw/cache-memory/safe-output-health/2025-12-04.json
• Audit Agent: Claude (Sonnet 4.5)

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🎉 Conclusion: The safe output system is in excellent health with 100% success rate across all job types. No issues detected, no action required. Continue monitoring to maintain this level of performance.

AI generated by Safe Output Health Monitor

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This discussion was automatically closed because it was created by an agentic workflow more than 3 days ago.