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AI Fix Prompts for Kss

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.

3

Total Prompts

0

Critical (P0)

0

High (P1)

3

Medium (P2)

0

Low (P3)

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 'konslie__KSS' 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.

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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 'konslie__KSS' fails 5 scorecard checks (score: 50%):

- Has README: Repository has a README file
- Has LICENSE: Repository has a LICENSE file
- 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 2 high-complexity files

complexity refactoring quality

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

Files to modify: static/js/charts.js, engine/scorer.py

Prompt (copy this into your AI assistant)

These files in 'konslie__KSS' have high cyclomatic complexity:

- **static/js/charts.js**: complexity=29, max nesting=7, longest function=67 lines
- **engine/scorer.py**: complexity=28, max nesting=4, longest function=103 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