docs: add CONTRIBUTING.md

[indiamos]

Adds a CONTRIBUTING.md file documenting the contribution process for this project. Contents:

• Development Setup
• AI-Assisted Contributions
• Filing Issues
• Contribution Process
• Commit Style
• Changing Master Prompt Files
• Pull Requests
• License

[github-actions]

PR Analysis

Size: medium (based on production code)
Production Code: 138 lines (2 files)
Test Code: 0 lines (0 files)
Total: 138 lines (2 files)
Test-to-Production Ratio: 0.00:1

Concerns

• Median net additions ratio 1.00 exceeds 0.50 - possible batch-acceptance pattern

Strengths

• Incremental development pattern detected
• Message quality 100% meets discipline threshold

Commit Analysis

Total Commits: 2
Average Commit Size: 69 production lines
Average Files per Commit: 1.0

Metric	Value
Large commits (>100 prod lines)	1/2 (50%)
Sprawling commits (>5 files)	0/2 (0%)
Test-first discipline	0/2 (0%)
Message quality	2/2 (100%)
Median net additions ratio	1.00
Test-only commits	0
Production-only commits	2

Commit Details

cb129dc India Amos (6/1/2026)
docs: add contributing guidelines
129 prod lines, 1 files [large]

3a86880 India Amos (6/1/2026)
docs: update CHANGELOG.md
9 prod lines, 1 files

Test Coverage

Test Adequacy: poor

• No test changes for production code modifications
• All commits lack test coverage

Target ratio: 0.5-2.0 test lines per production line

DORA Capability Assessment

Archetype: foundational-challenges
Weak testing or batch discipline detected. Consider strengthening practices before scaling AI usage.

Capability	Metric	Value	Target
Small Batches	Large commit %	50%	<20%
Small Batches	Sprawling commit %	0%	<10%
Version Control	Test-first discipline	0%	>50%
Version Control	Message quality	100%	>60%
AI Risk Signal	Net additions ratio (median)	1.00	<0.50
Automated by Code Metrics Workflow

[github-actions]

PR Analysis

Size: large (based on production code)
Production Code: 259 lines (3 files)
Test Code: 0 lines (0 files)
Total: 259 lines (3 files)
Test-to-Production Ratio: 0.00:1

Concerns

• Large production changes - review carefully
• 3/4 commits exceed 100 production lines
• Median net additions ratio 1.00 exceeds 0.50 - possible batch-acceptance pattern

Strengths

• Message quality 100% meets discipline threshold

Commit Analysis

Total Commits: 4
Average Commit Size: 3353 production lines
Average Files per Commit: 48.0

Metric	Value
Large commits (>100 prod lines)	3/4 (75%)
Sprawling commits (>5 files)	1/4 (25%)
Test-first discipline	1/4 (25%)
Message quality	4/4 (100%)
Median net additions ratio	1.00
Test-only commits	0
Production-only commits	3

Commit Details

cb129dc India Amos (6/1/2026)
docs: add contributing guidelines
129 prod lines, 1 files [large]

3a86880 India Amos (6/1/2026)
docs: update CHANGELOG.md
9 prod lines, 1 files

1fdc6f4 India (7/17/2026)
feat: add update-changelog skill (#76)
123 prod lines, 3 files [large]

36d2a2c Ken Judy (7/17/2026)
chore: resolve merge conflict with main in CHANGELOG.md
13152 prod lines, 187 files [large, sprawling, test+prod]

Test Coverage

Test Adequacy: poor

• No test changes for production code modifications

Target ratio: 0.5-2.0 test lines per production line

DORA Capability Assessment

Archetype: foundational-challenges
Weak testing or batch discipline detected. Consider strengthening practices before scaling AI usage.

Capability	Metric	Value	Target
Small Batches	Large commit %	75%	<20%
Small Batches	Sprawling commit %	25%	<10%
Version Control	Test-first discipline	25%	>50%
Version Control	Message quality	100%	>60%
AI Risk Signal	Net additions ratio (median)	1.00	<0.50
Automated by Code Metrics Workflow