Repos / Mountsinaivsanthem2026 / Security / AI Fix Prompts
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AI Fix Prompts for Mountsinaivsanthem2026

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)
1
High (P1)
2
Medium (P2)
0
Low (P3)
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HIGH ⚙ moderate #1

Fix quality gate failures (1 conditions)

quality-gate quality
Expected outcome: All quality gate conditions pass
Files to modify: Will be determined by the AI
Prompt (copy this into your AI assistant) 
Repository 'zhammer__mountsinaivsanthem2026' is failing the quality gate.

Failed conditions:
- overall_score: actual 47.3 >= 50 (FAILED)

Fix each failing condition to make the repo pass the quality gate.
Repobility · open methodology · https://repobility.com/research/
MEDIUM ⚙ moderate #2

Fix 7 scorecard failures (30%)

scorecard compliance
Expected outcome: Scorecard score improved from 30% to 80%+
Files to modify: Will be determined by the AI
Prompt (copy this into your AI assistant) 
Repository 'zhammer__mountsinaivsanthem2026' fails 7 scorecard checks (score: 30%):

- Has README: Repository has a README file
- 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
- Quality Gate Passed: Passes the default quality gate
- 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: src/testimonials.ts, src/App.tsx
Prompt (copy this into your AI assistant) 
These files in 'zhammer__mountsinaivsanthem2026' have high cyclomatic complexity:

- **src/testimonials.ts**: complexity=74, max nesting=1, longest function=0 lines
- **src/App.tsx**: complexity=48, max nesting=5, longest function=232 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