[workflow-analysis] Weekly CI/CD Health Report (Feb 2-9, 2026)

[github-actions[bot]]

This report analyzes 26 agentic workflow runs from the past week, identifying reliability patterns, performance characteristics, and improvement opportunities.

Executive Summary

• Reliability: 96.2% success rate (25/26 runs succeeded)
• Token Usage: 44.2M tokens consumed across all runs
• Estimated Cost: $7.38 for Claude-powered workflows
• Total Runtime: 3.2 hours of agent execution
• Average Turns: 11.4 turns per workflow (for workflows that track this metric)

Key Metrics

Metric	Value	Status
Success Rate	96.2%	✅ Excellent
Failed Runs	1	⚠️ Needs attention
Total Token Usage	44.2M	⚠️ High
Estimated Cost	$7.38	✅ Reasonable
Avg Duration	7.4 min/run	✅ Good

Failure Analysis

View Failed Run Details

§21819231545 - Daily MCP Tool Concurrency Analysis

Failure Cause: OAuth authentication missing for gh agent-task create command

Error Message:

this command requires an OAuth token. Re-authenticate with: gh auth login

Root Cause: The workflow attempted to create an agent session using gh agent-task create but the GitHub CLI was not authenticated in the Actions environment.

Impact: The safe outputs handler successfully created an issue (#14625), but the follow-up agent session creation failed.

Tokens Used: 603,165 tokens before failure

Duration: 5.2 minutes

Performance Analysis

Token Usage by Engine

View Token Distribution

Engine	Runs	Total Tokens	Avg per Run	Est. Cost
Claude	10	~6.0M	600k	$7.38
Copilot	14	~14.1M	1.0M	N/A
Codex	2	~24.1M	12.0M	N/A

Key Observations:

• Codex workflows use significantly more tokens (12M avg) compared to Claude (600k avg) and Copilot (1M avg)
• "Daily Issues Report Generator" (Codex) used 15M tokens - highest single-run consumption
• "The Great Escapi" (Copilot) used 3.8M tokens - notable for a Copilot workflow

Longest Running Workflows

View Top 5 by Duration

1. Agent Persona Explorer - 38.1 minutes (124 turns) - §21815006197
2. jsweep - JavaScript Unbloater - 15.2 minutes - §21816264271
3. The Great Escapi - 12.5 minutes - §21819295673
4. Daily Observability Report - 11.1 minutes - §21815889629
5. Safe Output Health Monitor - 9.2 minutes - §21817091264

Most Active Workflows

View Execution Frequency

The following workflows ran most frequently during the analysis period:

• Test Dispatcher Workflow: 2 runs (event-driven)
• Issue Monster: Multiple runs (every 30m schedule)
• Discussion Task Miner: Regular runs (every 4h schedule)
• Auto-Triage Issues: Scheduled runs (every 6h)
• Various daily workflows: News, Documentation, Lockfile Stats, etc.

Tool Usage Patterns

The most frequently used tools across all workflows:

View Top 10 Tools

1. Read - 44 calls across 7 runs (most popular inspection tool)
2. TodoWrite - 20 calls across 4 runs (task management)
3. bash_curl - 18 calls in 1 run (external API access)
4. safeoutputs_close_discussion - 10 calls in 1 run
5. bash_cat - 7 calls across 2 runs (file content display)
6. safeoutputs_upload_asset - 5 calls across 2 runs
7. safeoutputs_noop - 5 calls across 5 runs (completion signals)
8. safeoutputs_create_discussion - 5 calls across 5 runs
9. bash_gh api - Multiple variants for GitHub API access
10. github_search_issues - 2 calls in 1 run

Recommendations

High Priority

1. Fix OAuth Authentication for Agent Session Creation

   • Issue: Daily MCP Tool Concurrency Analysis fails when trying to create agent sessions
   • Action: Configure gh authentication in workflows that use gh agent-task create
   • Impact: Prevents workflow failures and enables automated follow-up tasks

2. Investigate High Token Usage in Codex Workflows

   • Issue: Codex workflows consume 12M tokens on average (20x more than Claude)
   • Workflows: "Daily Issues Report Generator" (15M), "Daily Project Performance Summary" (9M)
   • Action: Review prompt efficiency, output verbosity, and consider pagination
   • Potential Savings: Could reduce costs by 50-70% with optimization

3. Monitor Agent Persona Explorer Duration

   • Issue: 38-minute runtime with 124 turns is significantly longer than other workflows
   • Action: Review whether this level of interaction is necessary or if it can be optimized
   • Impact: Reduces workflow queue time and GitHub Actions minutes consumption

Medium Priority

4. Optimize The Great Escapi Token Usage

   • Current: 3.8M tokens in 12.5 minutes
   • Action: Review for potential prompt optimization or caching opportunities
   • Expected Benefit: Faster execution, lower token consumption

5. Review jsweep Performance

   • Current: 15.2 minutes runtime (2.1M tokens)
   • Action: Consider breaking into smaller batches or using parallel processing
   • Expected Benefit: Reduced single-workflow runtime

6. Standardize Safe Output Patterns

   • Observation: 5 workflows properly used safeoutputs_noop for completion signaling
   • Action: Ensure all workflows follow this pattern for consistent observability
   • Expected Benefit: Better tracking and reporting across all workflows

Low Priority

7. Monitor Scheduled Workflow Coverage

   • Action: Verify all daily/scheduled workflows are executing as expected
   • Benefit: Ensure comprehensive coverage of automated tasks

8. Tool Usage Analysis

   • Observation: Read tool used extensively (44 calls)
   • Action: Consider adding caching layer for frequently read files
   • Benefit: Minor performance improvement

Success Stories

The following workflows demonstrated excellent performance this week:

• Layout Specification Maintainer - 2.6 min, 71k tokens - Highly efficient
• PR Triage Agent - 3.0 min, 75k tokens - Fast and focused
• Semantic Function Refactoring - 3.0 min, 250k tokens - Good balance
• Daily Documentation Updater - 3.4 min, 244k tokens - Efficient Claude usage
• Lockfile Statistics Analysis - 7.8 min, 1.3M tokens, 33 turns - Well-structured

These workflows represent good patterns to emulate in terms of token efficiency and execution speed.

Trend Analysis

Week-over-Week Observations:

• No critical errors or warnings beyond the single authentication failure
• Zero missing tool requests (excellent tool coverage)
• Zero missing data reports (good input validation)
• Consistent success rate across different AI engines

Next Steps

1. Immediate: Fix gh authentication in workflows using agent session creation
2. This Week: Analyze and optimize Codex workflow token usage
3. This Month: Review long-running workflows for optimization opportunities
4. Ongoing: Monitor token usage trends and cost efficiency

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References:

• §21819231545 - Failed run (auth issue)
• §21815006197 - Longest run (38 min)
• §21818800360 - Highest token usage (15M)

AI generated by Weekly Workflow Analysis

• expires on Feb 16, 2026, 10:07 AM UTC

[github-actions[bot]]

This discussion was automatically closed because it expired on 2026-02-16T10:07:57.648Z.

Closed by Workflow