🔍 Agentic Workflow Audit Report - October 17, 2025

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🔍 Agentic Workflow Audit Report - October 17, 2025

Audit Summary

• Period: Last 24 hours (2025-10-16 to 2025-10-17)
• Runs Analyzed: 9
• Workflows Active: 6 unique workflows
• Success Rate: 66.7% (6 successful, 3 failed)
• Total Duration: 44.8 minutes
• Total Cost: $1.55
• Total Tokens: 2,261,305
• Issues Found: 4 critical issues

📊 Performance Metrics

• Average Duration: 4.98 minutes per run
• Average Cost: $0.52 per run
• Average Turns: 16.2 turns per run
• Total Errors: 107
• Total Warnings: 44
• Missing Tools: 0 ✅

Highest Cost Workflow

• Workflow: Documentation Unbloat
• Run ID: #18576750465
• Cost: $0.96
• Tokens: 1,613,209
• Turns: 112

Most Active Workflow

• Tidy: 3 runs in 24 hours

🚨 Critical Issues

1. Issue Classifier Token Limit Exceeded (HIGH)

Run: #18578275610

Error:

413 Request body too large for gpt-4o-mini model. Max size: 8000 tokens

Analysis: The Issue Classifier workflow successfully made 4 tool calls (list_issue_types, list_label, list_issues, get_label) but by iteration 5, the accumulated context exceeded the gpt-4o-mini model's 8000 token limit.

Recommendations:

1. Switch to a model with larger context window (e.g., gpt-4o)
2. Implement context pruning strategy to remove older conversation history
3. Limit the number of issues retrieved in list_issues calls using pagination parameters
4. Consider using minimal_output: true parameter where available

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2. Scout MCP Configuration Missing (HIGH)

Run: #18576560512

Error:

Failed to initialize MCP host: Error: Failed to read configuration from /home/runner/.copilot/mcp-config.json

Analysis: Scout workflow (using Copilot engine) failed to initialize MCP host because the configuration file doesn't exist at the expected path.

Recommendations:

1. Verify that GITHUB_AW_MCP_CONFIG environment variable is correctly set for Copilot-based workflows
2. Check if MCP configuration generation differs between Claude and Copilot engines
3. Ensure MCP setup step runs before agent execution for Copilot workflows

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3. Permission Denied in Scout Workflow (MEDIUM)

Run: #18576560512

Warnings (3 occurrences):

Permission denied and could not request permission from user

Analysis: Multiple permission prompts indicate the agent attempted operations requiring interactive permission grants, which fail in automated workflow context.

Recommendations:

1. Pre-authorize required permissions in workflow configuration
2. Configure Copilot agent to run in non-interactive mode
3. Review Scout workflow's required permissions and grant them upfront

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4. High Error Counts in Successful Workflows (LOW)

Affected Workflows:

• Changeset Generator (#18578069195): 62 errors, completed successfully
• Documentation Unbloat (#18576750465): 28 errors, job failed but PR created

Analysis: Workflows are logging many "errors" but completing their tasks successfully, suggesting error detection patterns may be over-sensitive or catching benign log messages.

Recommendations:

1. Review error detection patterns in .github/workflows/ error validation
2. Distinguish between fatal errors and informational messages
3. Consider adjusting error pattern matching to reduce false positives

📈 Workflow Performance Breakdown

Workflow	Runs	Success	Failed	Avg Duration	Total Cost
Tidy	3	2	0 (1 cancelled)	7.2m	N/A
Changeset Generator	2	2	0	2.3m	$0.58
Documentation Unbloat	1	0	1	5.5m	$0.96
Scout	1	0	1	12.1m	N/A
Issue Classifier	1	0	1	44s	N/A

✅ Positive Findings

1. No Missing Tools: Zero missing tool requests - all required tools are available ✅
2. Good Success Rate: 66.7% success rate for completed workflows
3. Efficient Workflows: Changeset Generator completing in ~2.3 minutes with good cost efficiency
4. Active Monitoring: Error detection and logging is working as intended

🔄 MCP Server Status

All MCP servers are functioning correctly. No MCP server failures detected in the audit period.

📁 Next Steps

Immediate Actions Required

• Fix Issue Classifier: Upgrade model or implement context management to prevent token limit errors
• Fix Scout MCP Config: Ensure MCP configuration file is created for Copilot-based workflows
• Review Error Patterns: Reduce false positive error detection

Monitoring

• Monitor Issue Classifier workflow in next 48 hours after fix
• Verify Scout workflow runs successfully after MCP configuration fix
• Track error counts in successful workflows to validate pattern adjustments

📊 Historical Context

This is the first automated audit. Future audits will compare metrics against this baseline to identify trends and measure improvements.

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Audit Generated: 2025-10-17T00:32:00Z
Audit Agent: Agentic Workflow Audit Agent
Data Source: gh-aw MCP server logs (9 workflow runs)
Cache Location: /tmp/gh-aw/cache-memory/audits/2025-10-17.json

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.