codebase-stats

Codebase Stats Skill

Generate comprehensive codebase statistics and track technical debt indicators over time.

Capabilities

• Line Counting — Lines per file, directory, and type
• Function Analysis — Count, complexity, documentation coverage
• Dependency Metrics — Source statements, coupling
• Debt Indicators — TODO/FIXME/HACK tracking with severity and age
• Trend Tracking — Compare against previous snapshots

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Quick Start

# Collect metrics
python scripts/metric_collector.py -o json src/ > baseline.json

# Compare snapshots
python scripts/metric_collector.py -o json src/ > current.json
python scripts/trend_comparator.py current.json baseline.json -o human

# Scan for technical debt
python scripts/debt_scanner.py -o json --severity high .

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Thresholds

{
  "lines_per_file":    { "warning": 500,  "critical": 1000 },
  "functions_per_file": { "warning": 25,  "critical": 40 },
  "complexity":        { "warning": 10,   "critical": 15 },
  "debt_age_days":     { "warning": 30,   "critical": 90 }
}

Debt Severity

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Analysis Workflow

1. Collect Raw Data

# Lines by file type
find . -name "*.sh" -exec wc -l {} + | sort -n

# Function count per file
for f in lib/*.sh; do
    echo "$f: $(grep -c '^[[:space:]]*[a-z_][a-z0-9_]*()' "$f")"
done

# Debt item count
grep -rn 'TODO\|FIXME\|HACK\|XXX' lib/*.sh scripts/*.sh | wc -l

# Source statement count
grep -rn '^[[:space:]]*source' lib/*.sh | wc -l

2. Calculate Derived Metrics

Average lines/file, average functions/file, test-to-code ratio, documentation coverage.

3. Identify Hotspots

Flag files with multiple co-occurring issues: large + complex, many TODOs + stale, high coupling + low coverage.

4. Generate Report

Output a markdown report with summary dashboard, breakdowns, debt inventory, trends, and recommendations.

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Report Template

# Codebase Statistics Report

**Generated**: {{DATE}}  |  **Commit**: {{GIT_SHA}}

## Summary

| Metric              | Value  | Status  |
| ------------------- | ------ | ------- |
| Total Lines         | 12,450 | —       |
| Total Files         | 45     | —       |
| Total Functions     | 287    | —       |
| Test Coverage       | 78%    | OK      |
| Technical Debt Items| 23     | Warning |

## Size Breakdown

| Directory | Files | Lines | Avg Lines/File |
| --------- | ----- | ----- | -------------- |
| lib/      | 18    | 6,230 | 346            |
| scripts/  | 22    | 4,120 | 187            |
| tests/    | 15    | 2,100 | 140            |

## Largest Files (Top 10)

| File               | Lines | Functions | Status   |
| ------------------ | ----- | --------- | -------- |
| lib/task-ops.sh    | 1,245 | 42        | CRITICAL |
| lib/validation.sh  | 890   | 31        | WARNING  |

## Most Complex Functions

| Function             | File           | Complexity | Action                       |
| -------------------- | -------------- | ---------- | ---------------------------- |
| `process_task_tree`  | task-ops.sh    | 23         | Split into smaller functions |
| `validate_all`       | validation.sh  | 18         | Extract validation helpers   |

## Technical Debt

| Type  | Count | Files Affected |
| ----- | ----- | -------------- |
| TODO  | 15    | 8              |
| FIXME | 6     | 4              |
| HACK  | 2     | 2              |

## Trends (vs Previous)

| Metric      | Previous | Current | Change |
| ----------- | -------- | ------- | ------ |
| Total Lines | 11,800   | 12,450  | +5.5%  |
| Functions   | 275      | 287     | +4.4%  |
| Debt Items  | 20       | 23      | +15%   |
| Coverage    | 75%      | 78%     | +3%    |

## Recommendations

1. **Split task-ops.sh** — Over 1,000 lines; extract to modules
2. **Address FIXME items** — 6 items older than 30 days
3. **Reduce complexity** — 4 functions exceed threshold
4. **Improve coverage** — 22% of functions untested

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Context Variables

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Skill Chaining

This is a producer skill — it gathers data independently.

Outputs

Downstream Consumers

refactor-analyzer · test-gap-analyzer · security-auditor · dependency-analyzer

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Anti-Patterns

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Checklist

• Line counts collected by file/directory
• Function counts calculated
• Complexity metrics computed
• Technical debt items cataloged
• Hotspots identified
• Trends calculated (if previous report exists)
• Recommendations generated