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AI Fix Prompts for Claudewrap

Copy any prompt below into Claude, ChatGPT, or your AI coding assistant to automatically fix the issue. Each prompt includes full context, code location, and step-by-step fix instructions.

Total Prompts

Critical (P0)

High (P1)

Medium (P2)

Low (P3)

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MEDIUM ⚡ quick-fix #1

Add a LICENSE file

license legal

Expected outcome: LICENSE file added

Files to modify: Will be determined by the AI

Prompt (copy this into your AI assistant)

Repository 'max-niederman__claudewrap' has no detectable license. Add a LICENSE file. For open-source projects, MIT is recommended unless dependencies require a specific license. Create the full file.

All rows scored by the Repobility analyzer (https://repobility.com)

MEDIUM ⚙ moderate #2

Fix 5 scorecard failures (50%)

scorecard compliance

Expected outcome: Scorecard score improved from 50% to 80%+

Files to modify: Will be determined by the AI

Prompt (copy this into your AI assistant)

Repository 'max-niederman__claudewrap' fails 5 scorecard checks (score: 50%):

- Has LICENSE: Repository has a LICENSE file
- Has CI/CD: Repository has CI/CD configuration
- Has Tests: Repository has test files
- Has Docker: Repository has Dockerfile
- Grade C or Above: Overall quality grade is C or better

Fix each failing check.

MEDIUM ⚒ significant #3

Simplify 3 high-complexity files

complexity refactoring quality

Expected outcome: All listed files reduced to medium or low complexity

Files to modify: src/resolve.rs, src/main.rs, src/sockets.rs

Prompt (copy this into your AI assistant)

These files in 'max-niederman__claudewrap' have high cyclomatic complexity:

- **src/resolve.rs**: complexity=48, max nesting=5, longest function=86 lines
- **src/main.rs**: complexity=46, max nesting=6, longest function=87 lines
- **src/sockets.rs**: complexity=7, max nesting=5, longest function=52 lines

For each file:
1. Break large functions into smaller, focused functions
2. Reduce nesting depth (extract early returns, use guard clauses)
3. Simplify conditional logic
4. Extract complex expressions into named variables