🏥 Safe Output Health Report - 2026-01-25

[github-actions[bot]]

Executive Summary

Period: Last 24 hours (2026-01-25)
Status: ✅ EXCELLENT - Perfect health maintained

Metric	Value
Runs Analyzed	11
Workflows Active	6
Safe Output Jobs Executed	11
Safe Output Jobs Failed	0
Success Rate	100.0%
Error Clusters Identified	0

Key Highlights

• ✅ Perfect Success Rate: All 11 safe output jobs completed successfully
• ✅ Zero Failures: No errors, no API issues, no permission problems
• ✅ Consistent Performance: Second consecutive day with 100% success rate
• ✅ Diverse Coverage: 6 different workflow types all operating smoothly

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Safe Output Job Statistics

Job Type	Total Executions	Failures	Success Rate
add_comment	6	0	100.0%
noop	7	0	100.0%
create_issue	2	0	100.0%
add_labels	3	0	100.0%
remove_labels	2	0	100.0%
push_to_pull_request_branch	1	0	100.0%
update_pull_request	1	0	100.0%

Total Safe Output Operations: 22

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Workflow Breakdown

View Detailed Workflow Statistics

Code Scanning Fixer

• Runs: 6
• Safe Outputs Executed: 6
• Operations: 6 noop outputs (no security issues found)
• Status: ✅ All successful

Smoke Tests (Claude, Codex, Copilot)

• Runs: 3 (1 per engine)
• Safe Outputs Executed: 3
• Operations: Complex multi-step outputs including create_issue, add_comment, add_labels
• Status: ✅ All successful
• Notable: Comprehensive tool validation across all three AI engines

Changeset Generator

• Runs: 1
• Safe Outputs Executed: 1
• Operations: push_to_pull_request_branch, update_pull_request
• Status: ✅ Successful
• Notable: Automatic changeset generation for PR Update OpenAI Codex CLI from 0.89.0 to 0.91.0 #11794

Daily CLI Performance Agent

• Runs: 1
• Safe Outputs Executed: 1
• Operations: 1 noop (baseline metrics established)
• Status: ✅ Successful

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Error Analysis

Error Clusters

No error clusters identified ✅

All safe output jobs completed successfully with no failures, errors, or warnings.

Root Cause Analysis

Not applicable - No errors occurred during the audit period.

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Historical Context

Trend Analysis

Comparing with previous audits:

Date	Runs	Safe Output Jobs	Failures	Success Rate
2026-01-25	11	11	0	100.0%
2026-01-24	10	18*	0	100.0%
2026-01-23	10	7	0	100.0%
2026-01-22	9	9	2	77.8%
2026-01-21	11	0**	0	100.0%

*Note: Jan 24 shows 18 due to different counting methodology (job files vs. job executions)
**Note: Jan 21 shows 0 due to data collection methodology differences

Key Trends

• ✅ Sustained Reliability: Three consecutive days with 100% success rate
• ✅ Improved Stability: Recovery from Jan 22 issues (race condition with deleted discussions)
• ✅ No Recurring Errors: Error patterns file remains empty since Jan 20
• ✅ Consistent Volume: Steady workflow activity (9-11 runs per day)

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Positive Findings

🎯 System Reliability

Perfect Safe Output Success Rate

All 11 safe output jobs completed successfully with zero failures. This demonstrates:

• Robust error handling in safe output processing
• Stable GitHub API integration
• Proper permission configuration
• Reliable MCP server communication

Impact: High confidence in system reliability for production use

🔧 API & Infrastructure Health

No Rate Limits or Permission Issues

Analysis of all workflow logs revealed:

• Zero GitHub API rate limit errors
• Zero authentication failures
• Zero permission-related issues
• All operations completed within normal timeframes

Impact: System has adequate API quota and correctly configured permissions

🌟 Workflow Coverage

Diverse Workflow Types Operating Successfully

Safe outputs processed successfully across:

• Code security workflows (Code Scanning Fixer)
• Testing & validation workflows (Smoke Tests)
• Automation workflows (Changeset Generator)
• Monitoring workflows (Performance Agent)

Impact: Validates safe output system robustness across different use cases

📈 Operational Excellence

Second Consecutive Perfect Day

After recovering from Jan 22 race condition issues, the system has maintained:

• 100% success rate for 2 consecutive days
• Zero transient failures
• Zero retry-required scenarios
• Stable average job duration

Impact: Demonstrates effective error resolution and stable operations

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Recommendations

Immediate Actions

None required ✅

No critical issues, bugs, or configuration problems detected.

Proactive Monitoring

1. Continue Daily Audits

   • Priority: Medium
   • Rationale: Early detection of emerging patterns
   • Action: Maintain current audit schedule

2. Monitor for Volume Changes

   • Priority: Low
   • Rationale: Detect unusual activity spikes
   • Action: Alert if daily runs exceed 20 or drop below 5

3. Track Success Rate Trend

   • Priority: Low
   • Rationale: Identify any degradation early
   • Action: Alert if success rate drops below 95% for 2+ days

Process Improvements

None needed at this time ✅

Current safe output processing is performing excellently. No improvements identified.

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Work Item Plans

Work Item 1: Documentation Update

• Type: Enhancement
• Priority: Low
• Description: Document the current safe output health monitoring approach as a best practice
• Acceptance Criteria:
  • Create README in safe-output-health directory
  • Document audit data structure
  • Document analysis methodology
  • Add example queries for common questions
• Technical Approach: Create markdown documentation based on current audit scripts
• Estimated Effort: Small
• Dependencies: None

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Metrics and KPIs

Overall Safe Output Success Rate

100.0% ✅

• Total Jobs: 11
• Successful: 11
• Failed: 0

Most Reliable Job Type

Tie: All job types at 100% success rate

All safe output job types performed perfectly:

• add_comment, create_issue, add_labels, remove_labels
• push_to_pull_request_branch, update_pull_request
• noop

Most Active Job Type

noop - 7 executions (31.8% of all operations)

Primarily from Code Scanning Fixer runs where no security issues were found.

Workflow Success Metrics

• Code Scanning Fixer: 6/6 successful (100%)
• Smoke Tests: 3/3 successful (100%)
• Changeset Generator: 1/1 successful (100%)
• Daily CLI Performance Agent: 1/1 successful (100%)

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Next Steps

• Complete daily audit for 2026-01-25
• Store findings in cache memory
• Update error patterns database (no patterns to add)
• Create discussion report
• Monitor for any new issues in next 24 hours

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References:

• Audit Data: 2026-01-25
• Previous Audit: 2026-01-24
• Error Patterns Database

AI generated by Safe Output Health Monitor

• expires on Feb 1, 2026, 11:29 PM UTC

[github-actions[bot]]

This discussion was automatically closed because it expired on 2026-02-01T23:29:18.455Z.