⚡
AI Fix Prompts for Jtna1.2
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.
4
Total Prompts
0
Critical (P0)
1
High (P1)
3
Medium (P2)
0
Low (P3)
Download All (Markdown)
Download All (JSON)
Feed these prompts to any AI coder: Claude Code, Cursor, Copilot, GPT, Ollama
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 'mohsaqr__JTNA1.2' is failing the quality gate. Failed conditions: - overall_score: actual 39.0 >= 50 (FAILED) Fix each failing condition to make the repo pass the quality gate.
Repobility · code-quality intelligence · https://repobility.com
MEDIUM
⚡ quick-fix
#2
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 'mohsaqr__JTNA1.2' 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.
MEDIUM
⚙ moderate
#3
Fix 6 scorecard failures (40%)
scorecard compliance
Expected outcome: Scorecard score improved from 40% to 80%+
Files to modify: Will be determined by the AI
Prompt (copy this into your AI assistant)
Repository 'mohsaqr__JTNA1.2' fails 6 scorecard checks (score: 40%): - 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
#4
Simplify 5 high-complexity files
complexity refactoring quality
Expected outcome: All listed files reduced to medium or low complexity
Files to modify:
TNAModule/R/GroupTNA.b.R, TNAModule/R/ClusterTNA.b.R, TNAModule/R/TNA.b.R, TNAModule/R/GroupTNA.h.R, TNAModule/R/TNA.h.RPrompt (copy this into your AI assistant)
These files in 'mohsaqr__JTNA1.2' have high cyclomatic complexity: - **TNAModule/R/GroupTNA.b.R**: complexity=380, max nesting=8, longest function=279 lines - **TNAModule/R/ClusterTNA.b.R**: complexity=241, max nesting=7, longest function=283 lines - **TNAModule/R/TNA.b.R**: complexity=227, max nesting=9, longest function=241 lines - **TNAModule/R/GroupTNA.h.R**: complexity=20, max nesting=7, longest function=0 lines - **TNAModule/R/TNA.h.R**: complexity=17, max nesting=7, longest function=0 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