🏥 Safe Output Health Report - 2025-12-25

[github-actions[bot]]

Executive Summary

Period: Last 24 hours (2025-12-24 23:26:14 to 2025-12-25 23:26:14 UTC)

• Runs Analyzed: 27
• Workflows Active: 13
• Safe Output Jobs Executed: 27
• Safe Output Jobs Failed: 0
• Safe Output Operations: 21 total
• Error Clusters Identified: 1 (non-critical)
• Overall Health: ✅ HEALTHY - 100% success rate

Safe Output Job Statistics

Job Type	Total Executions	Failures	Success Rate
Overall	27	0	100%

Job Execution by Workflow:

Workflow	Runs	Success	Failure	Success Rate
AI Moderator	10	10	0	100%
Issue Monster	4	4	0	100%
Tidy	4	4	0	100%
Smoke Copilot	1	1	0	100%
Smoke Claude	1	1	0	100%
Smoke Codex	1	1	0	100%
Smoke Codex Firewall	1	1	0	100%
Changeset Generator	1	1	0	100%
Other workflows	4	4	0	100%

Safe Output Operations Statistics

Total Operations: 21 (all successful)

Operation Type	Count	Success	Failure	Success Rate	Primary Workflows
add_labels	10	10	0	100%	AI Moderator, Issue Monster, Tidy
add_comment	3	3	0	100%	AI Moderator
assign_to_agent	3	3	0	100%	Issue Monster
missing_tool	3	3	0	100%	Tidy
noop	2	2	0	100%	Issue Monster

Key Observations:

• add_labels is the most frequently used operation (47.6% of all operations)
• All operation types completed successfully with 100% success rate
• No parsing, validation, or API errors detected
• No permission or authentication issues

Error Clusters

Cluster 1: Missing Optional Artifact

• Count: 3 occurrences
• Affected Jobs: safe_outputs job
• Affected Workflows: Tidy
• Sample Error:

  ##[error]Unable to download artifact(s): Artifact not found for name: aw.patch
  Please ensure that your artifact is not expired and the artifact was uploaded using a compatible version of toolkit/upload-artifact.
  

• Root Cause: The aw.patch artifact is only created when the agent makes code changes. When no code changes are made, the artifact doesn't exist. The safe_outputs job attempts to download this optional artifact and logs an error when it's not found.
• Impact: ⚠️ Low Severity - Non-fatal error. All affected workflows completed successfully despite the error message. This is expected behavior.
• Affected Runs: §20510613212, §20510657375, §20511674648

Root Cause Analysis

API-Related Issues

✅ No API errors detected - All GitHub API calls for safe output operations (creating comments, adding labels, updating issues) completed successfully with no rate limiting, authentication, or permission issues.

Data Validation Issues

✅ No validation errors detected - All agent outputs were properly formatted and parsed successfully. No JSON parsing errors or schema validation failures.

Permission Issues

✅ No permission errors detected - All safe output jobs had appropriate GITHUB_TOKEN permissions to perform their operations.

Other Issues

⚠️ Optional Artifact Download - The only issue detected was the expected failure to download optional aw.patch artifacts when they don't exist. This is working as designed but produces error-level log messages that could be confusing.

Recommendations

Critical Issues (Immediate Action Required)

✅ None identified - The safe output system is operating at 100% success rate with no critical issues.

Bug Fixes Required

None required - All systems operating nominally.

Configuration Changes

1. Suppress Optional Artifact Error Messages
   • Current: Missing optional artifacts log as ##[error] level
   • Recommended: Change to ##[notice] level or add conditional check before download
   • Reason: Reduces noise in logs and prevents false alarms during monitoring
   • Priority: Low
   • File: .github/workflows/tidy.lock.yml and other workflows using patch artifacts

Process Improvements

1. Continue Current Monitoring Cadence

   • Current State: Daily health monitoring running successfully
   • Proposed: Maintain daily audits with alerting only for actual failures
   • Benefits: Early detection of degradation while avoiding alert fatigue

2. Add Success Metrics Dashboard

   • Current State: Health data stored in cache but not visualized
   • Proposed: Create periodic summary discussions with trend charts
   • Benefits: Easier identification of patterns and gradual degradation

Work Item Plans

Work Item 1: Improve Optional Artifact Error Handling

• Type: Enhancement
• Priority: Low
• Description: The safe_outputs job logs error-level messages when optional artifacts (like aw.patch) are not found. This is expected behavior when no code changes are made, but the error level causes confusion and triggers false alarms in monitoring systems.
• Acceptance Criteria:
  • Optional artifact downloads produce ##[notice] instead of ##[error] messages
  • OR implement conditional check to skip download when artifact doesn't exist
  • Verify no regression in actual error detection
• Technical Approach:
  • Option A: Modify the actions/download-artifact step to use continue-on-error: true and add a subsequent check
  • Option B: Use GitHub API to check artifact existence before attempting download
  • Option C: Change artifact download to notice level in workflow YAML
• Estimated Effort: Small
• Dependencies: None

Historical Context

First Audit: This is the inaugural Safe Output Health Report. Future reports will include trend analysis comparing with previous periods.

Trends

• Baseline established: 100% success rate across all safe output operations
• Most common operation: add_labels (47.6% of operations)
• Most active workflow: AI Moderator (10 runs with safe output operations)

Metrics and KPIs

• Overall Safe Output Success Rate: 100%
• Most Reliable Job Type: All job types at 100% success rate
• Most Problematic Job Type: None - all operating nominally
• Average Operations per Run: 0.78
• Total Token Usage: 3,230,049 tokens across all runs
• Total Runtime: 57.4 minutes across all workflows

System Health Indicators

🟢 All systems operational

• ✅ API connectivity and authentication
• ✅ Artifact upload/download (agent_output.json)
• ✅ Data parsing and validation
• ✅ Permission management
• ✅ GitHub API operations (comments, labels, assignments)
• ✅ Error handling and recovery

Next Steps

• Continue daily monitoring
• Track trends over 7-day and 30-day periods
• Consider implementing optional artifact error suppression (low priority)
• Monitor for any emerging patterns in future audits

Conclusion

The safe output system is in excellent health with 100% success rate across all operations. The only issue detected is cosmetic (error messages for expected missing artifacts) and does not impact functionality. No immediate action is required, though the minor logging improvement could be addressed in a future update.

References:

• §20511674648 - Tidy workflow with optional artifact message
• §20512018511 - Issue Monster with successful operations
• §20512015359 - AI Moderator with successful add_comment

AI generated by Safe Output Health Monitor

[github-actions[bot]]

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