Promptulus

F 46 completed
Other
unknown / r · tiny
27
Files
7,214
LOC
0
Frameworks
3
Languages

Pipeline State

completed
Run ID
#1530796
Phase
done
Progress
0%
Started
2026-04-16 14:43:35
Finished
2026-04-16 14:43:35
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
22.78
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47862
Member of a group with 185 similar repo(s) — canonical #1559941 view group →
Open data scored by Repobility · https://repobility.com

AI Prompt

Create an interactive Shiny application, similar to an AI literacy companion tool. I want it to teach fundamental skills for working with AI using different animal characters, each representing a specific skill like Prompt Engineering or Task Decomposition. The app should allow users to submit task descriptions or prompts and receive character-specific feedback. Include features like a 'Transparency Spectrum' assessment and cross-character references suggesting complementary skills. The structure should guide users through phases: Before AI, During AI, and After AI.
r shiny ai-literacy interactive web-app prompt-engineering education
Generated by gemma4:latest

Catalog Information

Create an interactive Shiny application, similar to an AI literacy companion tool. I want it to teach fundamental skills for working with AI using different animal characters, each representing a specific skill like Prompt Engineering or Task Decomposition. The app should allow users to submit task descriptions or prompts and receive character-specific feedback. Include features like a 'Transparency Spectrum' assessment and cross-character references suggesting complementary skills. The structur

Tags

r shiny ai-literacy interactive web-app prompt-engineering education

Quality Score

F
46.3/100
Structure
38
Code Quality
40
Documentation
47
Testing
0
Practices
78
Security
100
Dependencies
50

Strengths

  • Consistent naming conventions (snake_case)
  • Good security practices — no major issues detected

Weaknesses

  • No LICENSE file — legal ambiguity for contributors
  • No tests found — high risk of regressions
  • No CI/CD configuration — manual testing and deployment
  • 1 files with critical complexity need refactoring
  • 217 duplicate lines detected — consider DRY refactoring
  • 3 'god files' with >500 LOC need decomposition

Recommendations

  • Add a test suite — start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Languages

r
84.8%
markdown
14.0%
json
1.2%

Frameworks

None detected

Quality Timeline

1 quality score recorded.

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