🔍 Agentic Workflow Audit Report - October 12, 2025 (Evening)

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🔍 Agentic Workflow Audit Report - October 12, 2025 (Evening)

Audit Summary

• Period: Last 24 hours (October 12, 2025 - Evening audit)
• Runs Analyzed: 14
• Workflows Active: 2 (Changeset Generator, Tidy)
• Success Rate: 100% ✅
• Total Cost: $2.09
• Total Tokens: 3,036,317
• Total Turns: 171
• Issues Found: 1 (False positive error detection)

🎉 System Health: EXCELLENT

All workflows completed successfully with 100% success rate. This represents a significant improvement from earlier audits today:

• Morning: 92.86% success rate
• Afternoon: 92.3% success rate
• Evening: 100% success rate ⬆️

Missing Tools

Status: ✅ NONE

No missing tool reports were detected in any workflow run. All required tools are available and functioning correctly.

Error Analysis

False Positive Error Detection Issue

Total "Errors" Reported: 96
Actual Runtime Errors: 0

Issue Description: The error validation system is incorrectly flagging 96 instances as "errors," but these are all false positives. The pattern matching is detecting error-related keywords in:

1. Validation script code (validate_errors.cjs)

   • JavaScript code like } catch (error) {
   • Error handling patterns like error instanceof Error
   • Function definitions containing "error" in their names

2. Configuration output

   • Lines containing GITHUB_AW_ERROR_PATTERNS configuration
   • Error pattern definitions being logged (e.g., "access denied.*only authorized")

3. JSONL log format

   • Structured log lines from agent-stdio.log containing "error" in JSON keys

Examples of False Positives

False Positive	Context	File
} catch (error) {	JavaScript catch block	validate_errors.cjs
error instanceof Error	Type checking code	validate_errors.cjs
"connection failed"	Error pattern definition	Configuration output
"authentication failed"	Error pattern definition	Configuration output

Impact

• Severity: Low
• Impact: Misleading error counts in reports; no actual runtime errors exist
• Affected Workflows: All workflows using error validation

MCP Server Failures

Status: ✅ NONE

No MCP server connection failures or issues detected.

Performance Metrics

Cost Analysis

• Total Cost (24h): $2.09
• Average Cost per Run: $0.21
• Highest Cost Run: Changeset Generator (run 18446740306) - $0.36
• Cost Trend: ⬇️ Improving (down from $0.27 afternoon average)

Token Usage

• Total Tokens: 3,036,317
• Average per Run: 303,631
• Top Consumer: Changeset Generator (70.2% of token usage across 7 runs)

Workflow Efficiency

Changeset Generator

• Average Duration: 2.3 minutes
• Average Cost: $0.29
• Average Turns: 24
• Success Rate: 100%
• Assessment: Excellent performance, consistent and efficient

Tidy

• Average Duration: 4.0 minutes
• Average Cost: $0.00
• Success Rate: 100%
• Note: No AI usage - pure git operations

Tool Usage Analysis

Top tools used across all workflows:

Tool	Total Calls	Runs Using	Purpose
github	500	5	GitHub API interactions
TodoWrite	56	7	Task tracking
safe_outputs	15	5	Safe output validation
Read	14	7	File reading
Write	14	7	File writing

Historical Context

Comparison to Previous Audits

Metric	Morning	Afternoon	Evening	Trend
Success Rate	92.86%	92.3%	100%	⬆️ +7.7%
Cost per Run	$0.18	$0.27	$0.21	⬇️ -22%
Total Runs	14	13	14	➡️ Stable
Issues Found	1	1	1	➡️ Same

24-Hour Trend: 🟢 Positive

The evening audit shows continued system improvement with the highest success rate of the day and improved cost efficiency.

Notable Improvements

1. ✅ Notion API issue resolved - The Notion API token issue from earlier audits is no longer appearing
2. ✅ 100% success rate achieved - All workflows completed successfully
3. ✅ Cost efficiency improved - 22% reduction in cost per run vs afternoon

Recommendations

Priority: Medium

Fix False Positive Error Detection

The error validation script needs improvement to exclude false positives:

Recommended Changes:

1. Add file path filters to exclude validation scripts (*.cjs, validate_errors.js)
2. Add pattern to exclude lines containing GITHUB_AW_ERROR_PATTERNS
3. Add pattern to exclude JSONL log format from agent-stdio.log
4. Implement context-aware matching to distinguish actual errors from code/config

Expected Impact: Reduce false positive count from 96 to ~0-5 actual errors per audit

Priority: Low

Continue Monitoring

System health is excellent. Continue daily audits to maintain visibility and track trends.

Affected Workflows

No workflows are experiencing actual errors or issues. All 14 runs completed successfully:

• ✅ Changeset Generator (7 runs) - 100% success
• ✅ Tidy (7 runs) - 100% success

Next Steps

• Audit completed successfully
• Cache memory updated with findings
• Historical trends analyzed
• Consider implementing error detection improvements
• Continue daily monitoring

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Audit Timestamp: 2025-10-12T22:01:00Z
Audit Agent: Agentic Workflow Audit Agent v1.0
Data Location: /tmp/gh-aw/cache-memory/audits/2025-10-12-evening.json

Summary

🎉 Excellent system health with 100% success rate and improving cost efficiency. The only issue identified is false positive error detection, which has no impact on actual workflow operations. System is performing optimally.

AI generated by Agentic Workflow Audit Agent

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This discussion was automatically closed because it was created by an agentic workflow more than 1 month ago.