📊 Daily Copilot Token Consumption Report - 2026-01-02

[github-actions[bot]]

Executive Summary

Over the last 30 days, Copilot-powered agentic workflows consumed 117,821,859 tokens across 266 workflow runs covering 49 unique workflows.

Key Highlights:

• Highest consuming workflow: Tidy (26,471,489 tokens)
• Most active workflow: Tidy (56 runs)
• Average tokens per run: 442,939 tokens
• Top 3 workflows: Account for 40.0% of total token consumption
• Cost tracking: Token usage tracking only - Copilot tokens are provided by GitHub

Full Report Details

📈 Analysis Period

• Report Date: 2026-01-02
• Data Source: Last 30 days of workflow run logs
• Total Runs Analyzed: 266
• Unique Workflows: 49
• Historical Data Points: 1 days

🏆 Top 10 Workflows by Token Consumption

Rank	Workflow	Total Tokens	Runs	Avg Tokens/Run	Errors	Warnings
1	Tidy	26,471,489	56	472,705	262	300
2	CI Cleaner	11,963,800	3	3,987,933	15	6
3	Issue Monster	8,734,032	41	213,025	132	108
4	jsweep - JavaScript Unbloater	4,481,757	3	1,493,919	39	37
5	The Great Escapi	4,421,173	2	2,210,586	32	20
6	Q	4,099,304	4	1,024,826	29	13
7	Smoke Copilot No Firewall	3,809,183	19	200,483	91	1
8	Spec-Kit Execute	3,467,111	6	577,852	80	111
9	Documentation Quality & Maintenance Campaign (Proj	3,463,332	9	384,815	16	30
10	Glossary Maintainer	3,243,404	2	1,621,702	24	34

📊 All Workflows Statistics

View All 49 Workflows

Workflow	Total Tokens	Runs	Avg Tokens	Avg Duration	Errors	Warnings
Tidy	26,471,489	56	472,705	263.2s	262	300
CI Cleaner	11,963,800	3	3,987,933	880.0s	15	6
Issue Monster	8,734,032	41	213,025	167.3s	132	108
jsweep - JavaScript Unbloater	4,481,757	3	1,493,919	334.0s	39	37
The Great Escapi	4,421,173	2	2,210,586	423.0s	32	20
Q	4,099,304	4	1,024,826	390.0s	29	13
Smoke Copilot No Firewall	3,809,183	19	200,483	178.7s	91	1
Spec-Kit Execute	3,467,111	6	577,852	241.0s	80	111
Documentation Quality & Maintenance Campaign (Project 67)	3,463,332	9	384,815	204.7s	16	30
Glossary Maintainer	3,243,404	2	1,621,702	369.0s	24	34
Agent Performance Analyzer - Meta-Orchestrator	3,044,097	2	1,522,048	447.0s	57	94
CI Optimization Coach	2,924,603	2	1,462,302	687.0s	2	12
Layout Specification Maintainer	2,812,260	2	1,406,130	513.0s	10	11
Smoke Copilot Playwright	2,796,622	20	139,831	215.1s	141	60
Smoke Copilot	2,632,191	19	138,536	152.8s	45	57
Documentation Noob Tester	2,599,942	3	866,647	468.0s	13	6
The Daily Repository Chronicle	2,375,701	2	1,187,850	516.0s	130	174
Daily Firewall Logs Collector and Reporter	2,356,081	2	1,178,040	507.0s	13	6
Daily Malicious Code Scan Agent	1,665,900	2	832,950	252.0s	13	25
Daily CLI Performance Agent	1,506,355	4	376,589	178.5s	30	51
Workflow Health Manager - Meta-Orchestrator	1,404,808	2	702,404	306.0s	26	37
Plan Command	1,275,358	6	212,560	255.0s	7	16
Spec Kit Executor	1,155,892	2	577,946	246.0s	11	13
Smoke Copilot Safe Inputs	1,149,273	18	63,848	144.3s	33	54
Go File Size Reduction Campaign (Project 64)	1,123,537	2	561,768	207.0s	1	4
Terminal Stylist	1,047,492	2	523,746	288.0s	7	7
Daily News	941,905	2	470,952	303.0s	8	6
Slide Deck Maintainer	931,507	1	931,507	324.0s	9	8
CLI Consistency Checker	875,741	1	875,741	282.0s	2	2
Repository Quality Improvement Agent	836,422	2	418,211	303.0s	7	4
Daily Copilot Token Consumption Report	752,215	1	752,215	1164.0s	2	2
Artifacts Summary	660,307	1	660,307	204.0s	1	2
Issue Template Optimizer	656,951	1	656,951	270.0s	3	3
Campaign Intelligence System	610,021	1	610,021	330.0s	4	4
Daily File Diet	565,179	1	565,179	306.0s	8	3
Auto-Assign Issue	518,215	2	259,108	150.0s	9	7
Breaking Change Checker	512,782	1	512,782	282.0s	1	3
Campaign Manager - Meta-Orchestrator	505,185	2	252,592	243.0s	18	16
Copilot PR Prompt Pattern Analysis	502,205	1	502,205	324.0s	2	3
Daily Workflow Updater	478,390	2	239,195	162.0s	8	17
Sub-Issue Closer	461,126	2	230,563	168.0s	5	8
Daily Team Status	420,758	2	210,379	150.0s	0	8
Metrics Collector - Infrastructure Agent	388,203	1	388,203	192.0s	21	20
Example: Custom Error Patterns	339,874	1	339,874	168.0s	6	8
Dependabot Dependency Checker	317,736	1	317,736	180.0s	10	2
Daily Copilot PR Merged Report	212,493	1	212,493	174.0s	2	3
Campaign Generator	150,553	2	75,276	225.0s	4	4
Issue Triage Agent	126,654	1	126,654	156.0s	1	4
AI Moderator	32,740	1	32,740	132.0s	0	2

💡 Insights & Recommendations

High-Consumption Workflows

The following workflows account for the majority of token consumption:

1. Tidy - 26,471,489 tokens (22.5% of total)

• Runs: 56 total runs
• Avg per run: 472,705 tokens
• Avg duration: 263.2 seconds
• Error rate: 262 errors, 300 warnings
• ⚠️ High Errors: Consider reviewing error logs and improving error handling.

2. CI Cleaner - 11,963,800 tokens (10.2% of total)

• Runs: 3 total runs
• Avg per run: 3,987,933 tokens
• Avg duration: 880.0 seconds
• Error rate: 15 errors, 6 warnings
• ⚠️ High Usage: This workflow averages over 1M tokens per run. Consider optimizing prompt size or breaking into smaller tasks.

3. Issue Monster - 8,734,032 tokens (7.4% of total)

• Runs: 41 total runs
• Avg per run: 213,025 tokens
• Avg duration: 167.3 seconds
• Error rate: 132 errors, 108 warnings
• ⚠️ High Errors: Consider reviewing error logs and improving error handling.

4. jsweep - JavaScript Unbloater - 4,481,757 tokens (3.8% of total)

• Runs: 3 total runs
• Avg per run: 1,493,919 tokens
• Avg duration: 334.0 seconds
• Error rate: 39 errors, 37 warnings
• ⚠️ High Usage: This workflow averages over 1M tokens per run. Consider optimizing prompt size or breaking into smaller tasks.
• ⚠️ High Errors: Consider reviewing error logs and improving error handling.

5. The Great Escapi - 4,421,173 tokens (3.8% of total)

• Runs: 2 total runs
• Avg per run: 2,210,586 tokens
• Avg duration: 423.0 seconds
• Error rate: 32 errors, 20 warnings
• ⚠️ High Usage: This workflow averages over 1M tokens per run. Consider optimizing prompt size or breaking into smaller tasks.
• ⚠️ High Errors: Consider reviewing error logs and improving error handling.

Optimization Opportunities

1. High Token Consumption per Run

26 workflows use > 1M tokens per run on average:

• CI Cleaner: 3,987,933 tokens/run

  • Potential savings: ~10,463,800 tokens by optimizing to 500K/run
  • Action: Review prompt engineering, reduce context size, break into subtasks

• The Great Escapi: 2,210,586 tokens/run

  • Potential savings: ~3,421,173 tokens by optimizing to 500K/run
  • Action: Review prompt engineering, reduce context size, break into subtasks

• Glossary Maintainer: 1,621,702 tokens/run

  • Potential savings: ~2,243,404 tokens by optimizing to 500K/run
  • Action: Review prompt engineering, reduce context size, break into subtasks

2. Error-Prone Workflows

11 workflows have high error counts:

• Tidy: 262 errors across 56 runs (467.9% error rate)

  • Action: Review error logs, improve error handling, validate inputs

• Smoke Copilot Playwright: 141 errors across 20 runs (705.0% error rate)

  • Action: Review error logs, improve error handling, validate inputs

• Issue Monster: 132 errors across 41 runs (322.0% error rate)

  • Action: Review error logs, improve error handling, validate inputs

Efficiency Trends

• Most efficient workflows: Workflows with < 100K tokens per run
• Balanced workflows: 100K-500K tokens per run
• Resource-intensive workflows: > 500K tokens per run

Distribution:

• Efficient (< 100K): 3 workflows (6.1%)
• Balanced (100K-500K): 20 workflows (40.8%)
• Intensive (> 500K): 26 workflows (53.1%)

📅 Historical Context

This is day 1 of tracking. Historical trends will become available as more data is collected.

Current Period Summary:

• Total tokens: 117,821,859
• Total runs: 266
• Average per run: 442,939 tokens

🔧 Methodology

• Data Source: GitHub Actions workflow run logs (last 30 days)
• Engine Filter: Copilot engine workflows only
• Memory Storage: /tmp/gh-aw/repo-memory-default/memory/token-metrics/
• Analysis Date: 2026-01-02T11:16:50.266437
• Historical Data: 1 days tracked
• Cost Model: Token tracking only (Copilot provided by GitHub)

📊 Data Quality Notes

• All 266 workflow runs from the last 30 days were analyzed
• Token usage data is available for all runs
• Some workflows may have zero cost as Copilot tokens are provided by GitHub
• Error and warning counts are tracked for quality monitoring

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Next Report: Tomorrow at 11 AM UTC (weekdays only)

AI generated by Daily Copilot Token Consumption Report

[github-actions[bot]]

This discussion was automatically closed because it expired on 2026-01-05T11:18:53.223Z.