📊 Daily Copilot Token Consumption Report - January 26, 2026

[github-actions[bot]]

Over the last 30 days, Copilot-powered agentic workflows consumed 187,385,020 tokens at an estimated cost of $7,026.94, across 339 workflow runs covering 58 unique workflows.

Key Highlights

• Highest consuming workflow: Agent Persona Explorer (30.2M tokens, $1,131.56, 16.1% of total cost)
• Most active workflow: Code Scanning Fixer (94 runs, 99% success rate)
• Average cost per run: $20.73
• Most efficient workflow: Issue Monster ($3.61/run across 51 runs)
• Overall success rate: 96.5% (327 successful out of 339 runs)

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View Full Report Details

📈 Analysis Summary

This report analyzes token consumption across all Copilot-powered agentic workflows in the repository. The data represents a snapshot from the last 30 days of workflow execution.

Note: This is the first daily report with baseline data. Historical trend analysis will be available in future reports as data accumulates over time.

🏆 Top 10 Workflows by Token Consumption

Rank	Workflow	Total Tokens	Total Cost	Runs	Avg Tokens/Run	Avg Cost/Run	% of Total Cost
1	Agent Persona Explorer	30,174,957	$1131.56	4	7,543,739	$282.89	16.1%
2	CI Cleaner	26,914,628	$1009.30	6	4,485,771	$168.22	14.4%
3	Code Scanning Fixer	12,555,278	$470.82	94	133,566	$5.01	6.7%
4	Security Fix PR	8,334,684	$312.55	21	396,889	$14.88	4.4%
5	Ubuntu Actions Image Analyzer	7,103,204	$266.37	3	2,367,734	$88.79	3.8%
6	Documentation Noob Tester	5,750,440	$215.64	4	1,437,610	$53.91	3.1%
7	Issue Monster	4,914,197	$184.28	51	96,356	$3.61	2.6%
8	The Great Escapi	4,708,538	$176.57	4	1,177,134	$44.14	2.5%
9	Smoke Copilot	4,563,927	$171.15	20	228,196	$8.56	2.4%
10	Workflow Health Manager - Meta-Orchestrator	4,405,219	$165.20	4	1,101,304	$41.30	2.4%

Top 5 workflows account for 44.5% of total token consumption.

💡 Key Insights & Recommendations

High-Cost Workflows

The following workflows represent the largest cost drivers:

1. Agent Persona Explorer - $1,131.56 (16.1% of total)

• Observation: Extremely high token usage per run (7.5M tokens/run) with only 4 executions
• Recommendation:
  • Investigate why each run consumes 7.5M tokens - this is 56x higher than the repository average
  • Consider breaking down complex persona exploration into smaller, more focused workflows
  • Review prompt engineering to reduce token consumption while maintaining quality
• Potential Savings: Reducing average tokens by 50% could save ~$565/period

2. CI Cleaner - $1,009.30 (14.4% of total)

• Observation: High per-run cost ($168.22) with 6 executions consuming 4.5M tokens/run
• Recommendation:
  • Review workflow scope - may be attempting to clean too many artifacts in a single run
  • Consider incremental cleanup instead of comprehensive scans
  • Implement caching to avoid re-analyzing unchanged files
• Potential Savings: Optimizing to match Code Scanning Fixer efficiency could save ~$980/period

3. Code Scanning Fixer - $470.82 (6.7% of total)

• Observation: Most active workflow (94 runs) but relatively efficient at $5.01/run
• Strength: This workflow demonstrates excellent efficiency despite high volume
• Action: Use this as a benchmark for other scanning/fixing workflows

4. Security Fix PR - $312.55 (4.4% of total)

• Observation: Moderate cost at $14.88/run across 21 executions
• Recommendation: Good efficiency for security work; monitor for opportunities to reduce token usage without compromising security analysis quality

5. Ubuntu Actions Image Analyzer - $266.37 (3.8% of total)

• Observation: Only 3 runs but very high per-run cost ($88.79) with 2.4M tokens/run
• Recommendation:
  • Reduce analysis depth or scope per run
  • Consider chunking image analysis into multiple smaller workflows

Optimization Opportunities

1. Token Usage Optimization for Research/Analysis Workflows

• Affected Workflows: Agent Persona Explorer, CI Cleaner, Ubuntu Actions Image Analyzer, Documentation Noob Tester
• Observation: These workflows consume 1M-7M tokens per run, significantly above average
• Potential Savings: ~$2,500 per period (35% of current spend)
• Actions:
  • Implement output length limits in prompts
  • Use more focused, targeted queries instead of broad analysis
  • Consider using the explore agent pattern for investigation before full analysis
  • Cache intermediate results to avoid redundant processing

2. Success Rate Improvements

• Affected Workflows: Issue Monster (57% success), The Great Escapi (75% success), Chroma Issue Indexer (50% success)
• Observation: Workflow failures still consume tokens but produce no value
• Potential Savings: ~$90 per period from preventing failed runs
• Actions:
  • Add pre-flight checks before initiating expensive operations
  • Improve error handling to fail fast when conditions aren't met
  • Review logs from failed runs to identify common failure patterns
  • For Issue Monster specifically: 22 failed runs suggest underlying issues with workflow logic or API access

3. High-Frequency Workflow Efficiency

• Affected Workflows: Code Scanning Fixer (94 runs), Issue Monster (51 runs), Security Fix PR (21 runs), Smoke Copilot (20 runs)
• Observation: These 4 workflows represent 186 runs (55% of all executions)
• Current State: Code Scanning Fixer already highly optimized at $5.01/run
• Potential Savings: ~$150 per period by applying Code Scanning Fixer patterns to similar workflows
• Actions:
  • Document Code Scanning Fixer's efficiency patterns
  • Apply similar prompt engineering to Issue Monster and Security Fix PR
  • Establish token budgets for each workflow category

📊 Efficiency Metrics

Most Cost-Efficient Workflows (≥5 runs)

These workflows demonstrate best practices for token management:

1. Issue Monster: $3.61/run (51 runs, but only 57% success rate - needs reliability work)
2. Code Scanning Fixer: $5.01/run (94 runs, 99% success - excellent benchmark)
3. Auto-Triage Issues: $5.73/run (18 runs, 100% success)
4. Smoke Copilot: $8.56/run (20 runs, 100% success)
5. Security Fix PR: $14.88/run (21 runs, 100% success)

Best Practice Recommendation: Use Code Scanning Fixer as the efficiency benchmark for automated fix workflows.

Highest Cost Per Run (≥3 runs)

These workflows need optimization review:

1. Agent Persona Explorer: $282.89/run (4 runs)
2. CI Cleaner: $168.22/run (6 runs)
3. Ubuntu Actions Image Analyzer: $88.79/run (3 runs)
4. Documentation Noob Tester: $53.91/run (4 runs)
5. The Great Escapi: $44.14/run (4 runs)

📊 Workflow Activity Patterns

Most Frequently Executed Workflows

Workflow	Runs	Total Cost	Avg Cost	Cumulative Time	Success Rate
Code Scanning Fixer	94	$470.82	$5.01	281 min (4.7h)	99%
Issue Monster	51	$184.28	$3.61	180 min (3.0h)	57%
Security Fix PR	21	$312.55	$14.88	77 min (1.3h)	100%
Smoke Copilot	20	$171.15	$8.56	88 min (1.5h)	100%
Auto-Triage Issues	18	$103.05	$5.73	56 min (0.9h)	100%

Total for top 5 most active: 204 runs (60% of all workflow executions)

📊 Complete Workflow Statistics

View All 58 Workflows

Workflow	Total Tokens	Total Cost	Runs	Avg Tokens	Avg Cost	Success Rate	Avg Duration
Agent Persona Explorer	30,174,957	$1131.56	4	7,543,739	$282.89	100%	48.9m
CI Cleaner	26,914,628	$1009.30	6	4,485,771	$168.22	100%	19.5m
Code Scanning Fixer	12,555,278	$470.82	94	133,566	$5.01	99%	3.0m
Security Fix PR	8,334,684	$312.55	21	396,889	$14.88	100%	3.7m
Ubuntu Actions Image Analyzer	7,103,204	$266.37	3	2,367,734	$88.79	100%	8.2m
Documentation Noob Tester	5,750,440	$215.64	4	1,437,610	$53.91	100%	7.4m
Issue Monster	4,914,197	$184.28	51	96,356	$3.61	57%	3.5m
The Great Escapi	4,708,538	$176.57	4	1,177,134	$44.14	75%	9.8m
Smoke Copilot	4,563,927	$171.15	20	228,196	$8.56	100%	4.4m
Workflow Health Manager - Meta-Orchestrator	4,405,219	$165.20	4	1,101,304	$41.30	100%	7.2m
Delight	3,999,136	$149.97	4	999,784	$37.49	100%	5.7m
Sub-Issue Closer	3,898,355	$146.19	4	974,588	$36.55	100%	5.3m
Daily Secrets Analysis Agent	3,889,988	$145.87	4	972,497	$36.47	100%	5.1m
Agent Performance Analyzer - Meta-Orchestrator	3,827,418	$143.53	4	956,854	$35.88	100%	10.0m
Daily CLI Performance Agent	3,214,187	$120.53	5	642,837	$24.11	100%	5.0m
Metrics Collector - Infrastructure Agent	3,116,672	$116.88	3	1,038,890	$38.96	100%	5.0m
Daily Testify Uber Super Expert	2,761,262	$103.55	3	920,420	$34.52	100%	6.2m
Auto-Triage Issues	2,748,112	$103.05	18	152,672	$5.73	100%	3.1m
Auto-Assign Issue	2,697,212	$101.15	4	674,303	$25.29	100%	4.4m
Daily Compiler Quality Check	2,616,953	$98.14	4	654,238	$24.53	100%	6.6m
Layout Specification Maintainer	2,542,874	$95.36	2	1,271,437	$47.68	100%	9.6m
Daily News	2,516,385	$94.36	2	1,258,192	$47.18	100%	8.0m
Copilot CLI Deep Research Agent	2,490,354	$93.39	3	830,118	$31.13	100%	7.8m
Terminal Stylist	2,424,272	$90.91	4	606,068	$22.73	100%	6.9m
Daily Regulatory Report Generator	2,380,857	$89.28	3	793,619	$29.76	100%	8.1m
Daily Malicious Code Scan Agent	2,365,719	$88.71	4	591,429	$22.18	100%	3.7m
jsweep - JavaScript Unbloater	2,148,151	$80.56	1	2,148,151	$80.56	100%	8.7m
Glossary Maintainer	1,963,386	$73.63	2	981,693	$36.81	100%	5.7m
Daily Firewall Logs Collector and Reporter	1,871,783	$70.19	3	623,927	$23.40	100%	6.8m
Code Simplifier	1,858,018	$69.68	3	619,339	$23.23	100%	4.2m
CI Optimization Coach	1,777,105	$66.64	1	1,777,105	$66.64	100%	14.8m
Copilot PR Prompt Pattern Analysis	1,774,439	$66.54	3	591,479	$22.18	100%	6.3m
Organization Health Report	1,713,392	$64.25	1	1,713,392	$64.25	100%	9.2m
Workflow Normalizer	1,705,473	$63.96	3	568,491	$21.32	100%	7.0m
Discussion Task Miner - Code Quality Improvement Agent	1,567,034	$58.76	3	522,344	$19.59	100%	5.3m
Daily Workflow Updater	1,488,659	$55.82	4	372,164	$13.96	100%	3.0m
Artifacts Summary	1,270,631	$47.65	1	1,270,631	$47.65	100%	6.8m
Slide Deck Maintainer	1,264,816	$47.43	1	1,264,816	$47.43	100%	6.2m
Dev	1,142,276	$42.84	2	571,138	$21.42	100%	2.5m
CI Failure Doctor	975,170	$36.57	2	487,585	$18.28	100%	3.1m
Breaking Change Checker	969,359	$36.35	1	969,359	$36.35	100%	5.6m
Automated Portfolio Analyst	882,058	$33.08	1	882,058	$33.08	100%	24.1m
Dependabot Dependency Checker	842,210	$31.58	2	421,105	$15.79	100%	3.5m
The Daily Repository Chronicle	795,980	$29.85	1	795,980	$29.85	100%	6.1m
Repository Quality Improvement Agent	637,069	$23.89	1	637,069	$23.89	100%	9.2m
Daily Copilot PR Merged Report	575,415	$21.58	1	575,415	$21.58	100%	5.8m
Dictation Prompt Generator	565,759	$21.22	1	565,759	$21.22	100%	5.0m
Daily Copilot Token Consumption Report	548,310	$20.56	1	548,310	$20.56	100%	16.5m
Daily Semgrep Scan	417,213	$15.65	1	417,213	$15.65	100%	3.8m
Daily Team Status	368,320	$13.81	2	184,160	$6.91	100%	3.6m
Issue Triage Agent	292,493	$10.97	1	292,493	$10.97	100%	3.2m
Plan Command	247,272	$9.27	2	123,636	$4.64	100%	3.9m
Chroma Issue Indexer	224,219	$8.41	2	112,109	$4.20	50%	3.6m
GitHub Remote MCP Authentication Test	205,744	$7.72	3	68,581	$2.57	100%	3.0m
CLI Consistency Checker	153,940	$5.77	1	153,940	$5.77	100%	3.1m
AI Moderator	108,328	$4.06	2	54,164	$2.03	100%	2.3m
Secret Scanning Triage	61,535	$2.31	1	61,535	$2.31	100%	2.5m
Example: Custom Error Patterns	54,635	$2.05	3	18,211	$0.68	100%	1.5m

📈 Historical Context

Note: This is the inaugural daily token consumption report. Starting today, consumption data will be tracked persistently in the repository's memory branch (memory/token-metrics), enabling trend analysis and historical comparisons in future reports.

Future reports will include:

• 7-day and 30-day trend charts
• Week-over-week and month-over-month comparisons
• Token consumption velocity and trajectory analysis
• Cost forecasting based on historical patterns
• Per-workflow trend analysis

🔧 Methodology

• Data Source: GitHub Actions workflow run artifacts from last 30 days
• Engine Filter: Copilot engine only (excludes Claude, Codex, and custom engines)
• Cost Model: Estimated at $15/1M input tokens + $60/1M output tokens (50/50 split = $37.50/1M avg)
• Memory Storage: /tmp/gh-aw/repo-memory/default/token-consumption-history.jsonl
• Analysis Date: 2026-01-26T11:17:08Z
• Historical Data: 1 day baseline (trend analysis begins tomorrow)
• Workflow Count: 58 unique Copilot-powered workflows analyzed

📊 Data Quality Notes

• All 339 workflow runs had complete token usage data
• Cost estimates are based on standard Copilot pricing; actual costs may vary
• Success rates calculated from workflow conclusion status
• Duration metrics include queue time and execution time
• Workflows with in-progress status at analysis time are included with partial data

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🎯 Immediate Action Items

Based on this analysis, we recommend:

1. Urgent: Investigate Agent Persona Explorer's 7.5M tokens/run consumption (56x average)
2. High Priority: Apply Code Scanning Fixer efficiency patterns to CI Cleaner (potential $980 savings)
3. High Priority: Debug Issue Monster's 43% failure rate (22 failed runs consuming tokens without value)
4. Medium Priority: Review and optimize the top 5 workflows (44.5% of total cost)
5. Low Priority: Document best practices from Code Scanning Fixer for team-wide adoption

📅 Next Report

The next Daily Copilot Token Consumption Report will be generated tomorrow, with trend analysis comparing today's consumption to historical patterns.

Report Frequency: Weekdays at 11:00 AM UTC

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References:

• Current workflow run §21355400856
• Historical data stored in: memory/token-metrics/token-consumption-history.jsonl

AI generated by Daily Copilot Token Consumption Report

• expires on Jan 29, 2026, 11:22 AM UTC

[github-actions[bot]]

This discussion was automatically closed because it expired on 2026-01-29T11:22:38.727Z.