🔍 Agentic Workflow Audit Report - December 6, 2025

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Audit Summary

This audit analyzed 55 workflow runs from the last 24 hours, revealing critical reliability concerns requiring immediate attention. The overall success rate has dropped to 33.33%, with 33 failures out of 51 completed runs. Resource consumption remains moderate at 10.6M tokens ($6.01), but the high failure rate indicates systemic issues affecting workflow stability.

Key Findings

• Success Rate: 33.33% (17 successful / 51 completed runs)
• Active Workflows: 15 different workflows executed
• Resource Usage: 10,619,760 tokens consumed ($6.01 total cost)
• Issues Detected: 422 errors, 250 warnings across runs
• MCP Server Issues: 6 failures of the safeoutputs MCP server
• Firewall Activity: 238 allowed requests, 0 denied (healthy)

📊 Workflow Health & Token Usage Trends

📈 Workflow Health Trends

Success/Failure Patterns

The trend chart reveals a concerning decline in workflow reliability. December 6th shows the highest failure count (33 failures) in the past two weeks, with the success rate plummeting to 33.33% - the lowest recorded in the 14-day period. This represents a significant degradation from the 45-70% success rates observed in late November. The spike in failed runs coincides with increased activity across smoke test workflows and scheduled automation tasks.

Token Usage & Costs

Token consumption shows significant volatility, with peaks exceeding 1.5M tokens on high-activity days (Nov 23, Nov 30). Today's usage of 10.6M tokens represents an extreme outlier - this appears to be an anomaly in the data collection (likely cumulative count error). The 7-day moving average indicates typical daily usage around 200-400K tokens, costing approximately $0.10-$0.20 per day under normal operations. Cost efficiency remains stable when workflows succeed.

⚠️ Critical Issues Analysis

Top Error Patterns

1. Permission Denied Errors (58 occurrences)

Pattern: warning: Permission denied and could not request permission from user
Affected Workflows: Smoke Copilot No Firewall, Smoke Copilot Playwright, Tidy
Impact: High - Blocking workflow execution

This is the most frequent error, occurring 58 times across multiple workflows. The permission denial suggests that workflows are attempting to access resources or perform operations without proper authorization. This could be related to:

• GitHub API token permissions
• File system access restrictions
• MCP server authentication issues

Recommendation: Audit the permissions granted to workflow tokens and ensure all required scopes are enabled.

2. JavaScript Parsing Errors (43 occurrences)

Pattern: [common-generic-error] error: ${server.error}
Affected Workflows: Duplicate Code Detector
Impact: Medium - Code generation failures

JavaScript template literal errors in server-side code generation. The error message fragments suggest issues with markdown generation or MCP server error handling.

Recommendation: Review the Duplicate Code Detector workflow's code generation logic and add proper error handling for edge cases.

3. Squid Firewall Configuration Warnings (27 occurrences each)

Patterns:

• warning: HTTP requires the use of Via
• warning: log name now starts with a module name
• warning: regular expression has unnecessary wildcard

Affected Workflows: Issue Monster, Smoke Copilot, Smoke Copilot Playwright
Impact: Low - Non-blocking configuration warnings

These are firewall configuration warnings from Squid proxy. While non-critical, they indicate suboptimal firewall setup.

Recommendation: Update firewall configuration to follow best practices and eliminate warnings.

MCP Server Failures

safeoutputs Server: 6 Failures

Affected Workflows:

• Copilot Agent PR Analysis
• Copilot Agent Prompt Clustering Analysis
• Security Fix PR
• Smoke Claude

Root Cause: MCP server startup or handshaking failures
Impact: High - Workflows cannot create GitHub issues/discussions

The safeoutputs MCP server, responsible for creating GitHub discussions, issues, and PRs, experienced 6 startup failures. This prevents workflows from producing their final outputs, causing workflow failures even when the AI agent completed its analysis successfully.

Recommendation:

1. Investigate MCP server initialization logs for root cause
2. Add retry logic for MCP server startup
3. Implement health checks before workflow execution
4. Consider fallback mechanisms for output creation

📉 Workflow Reliability Report

Workflows Requiring Attention

Critical Priority (Success Rate < 25%)

Smoke Copilot - 14.3% success rate (1/7 runs)

• Run IDs: §19971642693, §19974350835, §19974350855, §19976165107, §19978349088
• Primary issues: Permission errors, agent initialization failures
• Action Required: Immediate investigation of Copilot agent configuration

Smoke Copilot No Firewall - 20.0% success rate (1/5 runs)

• Consistently failing with permission errors
• Action Required: Review firewall bypass configuration and permissions

Smoke Copilot Playwright - 20.0% success rate (1/5 runs)

• Playwright automation failures combined with permission issues
• Action Required: Validate Playwright environment setup

High Priority (Success Rate 25-50%)

Changeset Generator - 33.3% success rate (1/3 runs)
Issue Monster - 37.5% success rate (3/8 runs)
Smoke Codex - 40.0% success rate (2/5 runs)
Smoke Claude - 40.0% success rate (2/5 runs)
Tidy - 44.4% success rate (4/9 runs)

Failed Workflows (0% Success Rate)

Copilot Agent PR Analysis - 0% (0/1 runs)

• Run ID: §19978349095
• MCP server failure prevented output creation

Copilot Agent Prompt Clustering Analysis - 0% (0/1 runs)

• Run ID: §19978540425
• MCP server failure prevented output creation

Security Fix PR - 0% (0/1 runs)

• Run ID: §19974350871
• MCP server failure prevented PR creation

Healthy Workflows (100% Success Rate)

Documentation Unbloat - 100% (1/1 runs) ✅
Duplicate Code Detector - 100% (1/1 runs) ✅
Safe Output Health Monitor - 100% (1/1 runs) ✅

🔥 Firewall Analysis

Network Access Patterns

Total Requests: 238 allowed, 0 denied
Status: Healthy - No blocked domains detected

Top Accessed Domains

1. api.enterprise.githubcopilot.com:443 - 122 requests (51%)

   • GitHub Copilot API calls for agent interactions

2. api.github.com:443 - 53 requests (22%)

   • GitHub REST API operations

3. registry.npmjs.org:443 - 26 requests (11%)

   • NPM package registry access

4. www.google.com:443 - 11 requests (5%)

   • Web search operations

5. github.com:443 - 10 requests (4%)

   • Direct GitHub access

Assessment

The firewall is functioning correctly with no denied requests. All accessed domains are legitimate and expected for agentic workflow operations. The high proportion of Copilot API calls (51%) reflects heavy usage of GitHub Copilot agent for workflow execution.

No firewall-related issues detected.

📋 Recommendations & Action Items

Immediate Actions (Priority 1)

1. Investigate Permission Errors

   • Review GitHub token permissions for workflows
   • Audit file system access requirements
   • Verify MCP server authentication configuration
   • Owner: DevOps Team
   • Timeline: Within 24 hours

2. Fix safeoutputs MCP Server Reliability

   • Analyze MCP server startup failures
   • Implement retry logic and health checks
   • Add fallback mechanisms for output creation
   • Owner: MCP Server Team
   • Timeline: Within 48 hours

3. Stabilize Smoke Test Workflows

   • Smoke Copilot, Smoke Copilot No Firewall, Smoke Copilot Playwright all show <25% success rates
   • These are critical health check workflows that should have >95% success rate
   • Owner: QA Team
   • Timeline: Within 48 hours

Short-term Improvements (Priority 2)

4. Address JavaScript Code Generation Errors

   • Fix template literal issues in Duplicate Code Detector
   • Add proper error handling for edge cases
   • Timeline: Within 1 week

5. Update Firewall Configuration

   • Eliminate Squid proxy configuration warnings
   • Follow HTTP proxy best practices
   • Timeline: Within 1 week

6. Improve Workflow Monitoring

   • Set up alerts for workflows with success rate <50%
   • Implement automatic issue creation for repeated failures
   • Timeline: Within 2 weeks

Long-term Enhancements (Priority 3)

7. Enhance Error Handling & Recovery

   • Implement automatic retry logic for transient failures
   • Add graceful degradation for non-critical failures
   • Improve error messages and debugging information

8. Optimize Token Usage

   • Investigate anomalous token consumption spikes
   • Implement token usage limits per workflow
   • Optimize prompt engineering to reduce token costs

9. Establish Reliability Targets

   • Define SLOs for each workflow category
   • Set up automated testing before workflow changes
   • Implement canary deployments for workflow updates

📊 Historical Context

14-Day Trend Analysis

Comparing today's metrics with the past 14 days:

• Success Rate: 33.33% (today) vs 45-70% (historical average) - Declining ⬇️
• Failure Count: 33 failures (today) vs 3-20 failures (historical range) - Significantly Worse ⬇️
• Token Usage: 10.6M tokens (data anomaly) vs 200-400K tokens (typical) - Requires Investigation
• Active Workflows: 15 workflows (today) vs 1-71 workflows (historical range) - Normal ✓

The data shows a clear degradation in workflow reliability over the past 24 hours. This represents the worst performance day in the 14-day observation period. The root causes appear to be:

1. Increased permission errors affecting multiple workflows
2. MCP server instability causing output creation failures
3. Possible infrastructure or configuration changes affecting agent startup

Historical Pattern: Previous low-performance days (Nov 23, Nov 30) also showed permission and MCP server issues, suggesting these are recurring systemic problems rather than isolated incidents.

Summary & Next Steps

The audit reveals a critical reliability crisis requiring immediate intervention. With only 33% of workflows succeeding, the agentic workflow infrastructure is currently unreliable for production use.

Critical Path to Recovery

1. Today: Begin investigation of permission errors and MCP server failures
2. Within 48 hours: Deploy fixes for safeoutputs MCP server and stabilize smoke tests
3. Within 1 week: Address JavaScript errors and firewall warnings
4. Within 2 weeks: Implement enhanced monitoring and alerting

Success Metrics

• Short-term goal: Achieve >70% success rate within 1 week
• Long-term goal: Maintain >90% success rate for smoke tests, >80% for automation workflows
• Cost target: Keep daily token usage under 500K tokens ($0.25/day)

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References:

• §19971642693 - Smoke Copilot failure example
• §19978349095 - MCP server failure example
• §19979808343 - Successful workflow example

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 3 days ago.