🔍 Agentic Workflow Audit Report - February 1, 2026

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Audit Summary

Audit Period: Last 24 hours (Jan 31, 04:31 UTC - Feb 1, 04:31 UTC)

• Runs Analyzed: 13
• Workflows Active: 12 unique workflows
• Success Rate: 100.0% ✅
• Issues Found: 0 critical issues
• Status: All systems operational

🎉 Key Highlights

• Perfect Success Rate: All 13 workflow runs completed successfully
• Zero Errors: No errors, warnings, or MCP failures detected
• Significant Improvement: Success rate increased from 50% (Jan 13) to 100%
• Stable Operations: No missing tools or critical issues reported

📊 Workflow Activity

Active Workflows (12):

• AI Moderator
• Agent Container Smoke Test
• Changeset Generator
• Daily Malicious Code Scan Agent
• Daily Project Performance Summary Generator (Using Safe Inputs)
• Issue Monster
• Security Guard Agent 🛡️
• Smoke Claude
• Smoke Codex
• Smoke Copilot
• Step Name Alignment
• Workflow Health Manager - Meta-Orchestrator

📈 Historical Trends

Workflow Health Trends

Note: Limited historical data available. Chart shows only January 13 audit data for comparison.

Analysis: Dramatic improvement in workflow reliability. The January 13 audit showed 50% success rate with multiple MCP server failures. Today's audit shows perfect 100% success rate with zero failures.

Token Usage & Cost Trends

Note: Limited historical data available. Current metrics collection is incomplete.

Analysis: Token usage and cost metrics are not currently being captured in run summaries. This is a gap that should be addressed for future audits.

Missing Data Reports

View Missing Data Details

The Issue Monster workflow reported missing runtime data (2 occurrences):

Data Type	Workflow	Reason
pre-searched issue list outputs	Issue Monster	The repo only contains the workflow template with placeholders; no actual issue list is present in the workspace
pre-searched issue list	Issue Monster	needs.search_issues outputs are generated at runtime and not available in this offline workspace

Assessment: This is expected behavior. The Issue Monster workflow depends on runtime inputs from prior workflow steps that are not available during offline log analysis.

Comparison to Previous Audit

Metric	Jan 13, 2026	Feb 1, 2026	Change
Success Rate	50.0%	100.0%	+50.0% ✅
Total Runs	10	13	+3
Failed Runs	5	0	-5 ✅
Errors	5	0	-5 ✅
MCP Failures	6 servers	0	-6 ✅

Key Improvement: The January 13 audit identified critical MCP server initialization failures affecting the Smoke Claude workflow (github, playwright, safeoutputs, safeinputs, serena, tavily servers all failed). These issues have been completely resolved.

⚠️ Observations

1. Metrics Collection Gap: Token usage and cost data are not being captured in run summary files. While workflow execution logs contain this data, it's not being aggregated for easy analysis.

2. Limited Trend Data: There's an 18-day gap between the last audit (Jan 13) and today. More frequent audits would provide better trend visibility.

3. Issue Monster Expected Behavior: The workflow's missing data reports are by design - it requires runtime inputs from preceding workflow steps.

✅ Recommendations

1. Implement Automated Metrics Collection: Add token usage and cost aggregation to the run summary generation process. This data exists in agent stdio logs but isn't being extracted.

2. Maintain Audit Frequency: Continue daily audits to build a robust historical dataset for trend analysis.

3. Document Expected Behaviors: Add documentation for workflows like Issue Monster that have known dependencies on runtime data.

4. Monitor MCP Server Health: While no failures were detected in this period, the January 13 issues highlight the importance of continuous monitoring.

System Health: Excellent ✅

All agentic workflows are operating at peak performance with zero failures, errors, or critical issues detected in the last 24 hours.

References:

• §21556589074 - Current Audit Run

AI generated by Agentic Workflow Audit Agent

• expires on Feb 8, 2026, 4:37 AM UTC