📊 Daily Code Metrics Report - November 17, 2025 #4183
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📊 Daily Code Metrics Report - November 17, 2025
This is the inaugural daily code metrics report for the gh-aw repository, establishing a baseline for tracking codebase health, quality, and evolution over time.
Key Highlights
The gh-aw repository demonstrates excellent code health with a quality score of 93.4/100. The codebase shows outstanding test coverage (233% test-to-source ratio), strong documentation practices, and active development with 262 commits in the past week. The project maintains 80 agentic workflows and comprises over 130K lines of code across Go, JavaScript, and Markdown.
📋 Executive Summary
Executive Summary
Quality Score: 93.4/100 - Excellent
Score Breakdown
Note: This is the first metrics collection run. Trend data will be available starting tomorrow once we have historical comparison points.
📈 Codebase Size Metrics
📈 Codebase Size Metrics
Overall Statistics
Lines of Code by Language
Lines of Code by Directory
File Distribution
.go.md.js/.cjs.yml/.yaml🔍 Code Quality Metrics
🔍 Code Quality Metrics
Complexity Indicators
Code Organization
The codebase demonstrates strong organization:
Large Files Requiring Attention
The following files exceed 500 lines and may benefit from refactoring:
Top 10 Largest Files:
Full list available in detailed analysis
Code Complexity Insights
🧪 Test Coverage Metrics
🧪 Test Coverage Metrics
Overview
Trend Analysis
Test Distribution
*_test.go)*.test.js,*.test.cjs)Coverage Insights
The 2.33:1 test-to-source ratio is exceptional and indicates:
This outstanding test coverage is a key contributor to the repository's 93.4/100 quality score.
🔄 Code Churn (Last 7 Days)
🔄 Code Churn (Last 7 Days)
Activity Summary
Churn Analysis
The repository shows very high development velocity:
Most Active Files (Last 7 Days)
.github/workflows/super-linter.lock.yml.github/workflows/unbloat-docs.lock.yml.github/workflows/technical-doc-writer.lock.yml.github/workflows/ci-doctor.lock.yml.github/workflows/q.lock.yml.github/workflows/go-logger.lock.yml.github/workflows/developer-docs-consolidator.lock.yml.github/workflows/daily-doc-updater.lock.yml.github/workflows/instructions-janitor.lock.yml.github/workflows/tidy.lock.ymlPattern Identified: Workflow lock files dominate recent changes, indicating active workflow development and iteration.
Activity Patterns
🤖 Workflow Metrics
🤖 Workflow Metrics
Agentic Workflows Overview
Workflow Growth
Workflow Distribution
The 80 workflows represent a comprehensive agentic automation ecosystem:
Workflow Insights
Workflow Categories
Based on naming patterns observed in churn data:
📚 Documentation Metrics
📚 Documentation Metrics
Overview
/docs)Documentation Distribution
docs/Documentation Coverage
Code-to-Docs Ratio: 12.8:1 (13 lines of code per 1 line of docs)
Rating: ✅ Good (Industry standard: 10-20:1)
Documentation Insights
/docsshows strong commitmentKey Documentation Files
README.md- Project overviewCONTRIBUTING.md- Contribution guidelinesAGENTS.md- Agent documentationDEVGUIDE.md- Developer guideSECURITY.md- Security policiesCHANGELOG.md- Version historyTESTING.md- Test documentationPlus 43 detailed docs in the
docs/directory covering setup, guides, examples, and reference material.📊 Historical Trends
📊 Historical Trends
Note: First Metrics Collection
This is the inaugural daily metrics report for the gh-aw repository. Historical trend data will become available starting tomorrow as we accumulate comparison points.
What to Expect:
Baseline Established - November 17, 2025
The following baseline metrics have been recorded:
Future Trend Tracking
Once historical data accumulates, this section will include:
LOC Growth Chart (30 Days)
Quality Score Trend
Commit Velocity
What We'll Track
Stay tuned for trend insights starting tomorrow!
💡 Insights & Recommendations
💡 Insights & Recommendations
Key Findings
🌟 Outstanding Test Coverage
🚀 Very Active Development
🤖 Comprehensive Workflow Ecosystem
📦 Code Organization Opportunities
Anomaly Detection
✅ No anomalies detected - This is the baseline measurement.
Future reports will flag unusual changes such as:
Recommendations
1. [Priority: Medium] - Refactor Large Files
2. [Priority: Low] - Monitor Workflow Lock File Updates
3. [Priority: Low] - Establish Quality Score Alerts
4. [Priority: High] - Continue Excellent Testing Practices
5. [Priority: Low] - Document Churn Patterns
📋 Quality Score Breakdown
📋 Quality Score Breakdown
Overall Score: 93.4/100 - Excellent ⭐⭐⭐⭐⭐
Quality Score is computed as a weighted average of five key dimensions:
1. Test Coverage (30/30) ✅ Perfect
Weight: 30% of total score
Measurement: Test-to-source ratio
Actual Ratio: 2.33:1 (233%)
Scoring:
Result: With a 2.33:1 ratio, this earns the full 30 points. This exceptional coverage far exceeds industry standards.
2. Code Organization (21.2/25) ✅ Excellent
Weight: 25% of total score
Components:
Scoring:
Result: Good average file size, but 27% large file ratio reduces score slightly.
3. Documentation (17.2/20) ✅ Good
Weight: 20% of total score
Measurement: Code-to-docs ratio
Actual Ratio: 12.8:1
Scoring:
Result: 12.8:1 ratio is within the good range, earning 17.2 points.
4. Churn Stability (15/15) ✅ Perfect
Weight: 15% of total score
Measurement: Files modified per 1000 LOC (7-day window)
Actual Rate: 4.8 files per 1000 LOC
Scoring:
Result: While absolute churn is high (630 files), relative to codebase size (130K LOC), the rate of 4.8 is healthy and earns full points.
5. Comment Density (10/10) ✅ Perfect
Weight: 10% of total score
Measurement: Comment lines as % of source LOC
Actual Density: 30.3%
Scoring:
Result: 30.3% comment density is exceptional, earning full points.
Summary
Rating Scale
🔧 Methodology
Analysis Date: November 17, 2025, 08:05 UTC
Repository: githubnext/gh-aw
Branch: main
Commit: cf2312f
Data Collection
/tmp/gh-aw/cache-memory/metrics/history.jsonlfind,wc,git log, andgrepTrend Calculation
Tools Used
find,wc,grep,awk,bcfor metrics collectionNext Run
Tomorrow at 8 AM UTC - The next analysis will include:
📞 About This Report
This automated daily report tracks comprehensive code quality and codebase health metrics for the gh-aw repository. The goal is to provide visibility into:
Questions or feedback? This report is generated automatically by the Daily Code Metrics Agent.
Generated by Daily Code Metrics Agent
Next analysis: November 18, 2025 at 8:00 AM UTC
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