Excelsior

F 45 completed
Other
web_app / javascript · tiny
30
Files
5,465
LOC
2
Frameworks
7
Languages

Pipeline State

completed
Run ID
#395180
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
49.56
Framework unique
Isolation
Last stage change
2026-05-10 03:35:17
Deduplication group #48362
Member of a group with 6 similar repo(s) — canonical #107986 view group →
Top concepts (2)
Project DescriptionWeb Backend
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AI Prompt

Create a full-stack, multi-user comic book tracking platform. I need the frontend built with React and Vite, and the backend using Express. The platform must include Clerk authentication with a "secret identity" onboarding flow. Key features to implement are automatically fetching comic cover art from the Open Library, displaying Amazon affiliate buy buttons on comic detail views, and persisting user data in a user-scoped SQLite database. The frontend should be fully responsive and include views for a collection, diary, and stats.
javascript react vite express sqlite full-stack comic-book authentication amazon-affiliate web-app
Generated by gemma4:latest

Catalog Information

A full-stack, multi-user comic book tracking platform with: - Clerk authentication with "secret identity" onboarding - Amazon affiliate buy buttons on every comic - Automatic cover art fetched from Open Library (free, commercial-friendly) - User-scoped SQLite database (easy upgrade p

Description

A full-stack, multi-user comic book tracking platform with: - Clerk authentication with "secret identity" onboarding - Amazon affiliate buy buttons on every comic - Automatic cover art fetched from Open Library (free, commercial-friendly) - User-scoped SQLite database (easy upgrade p

Novelty

3/10

Tags

javascript react vite express sqlite full-stack comic-book authentication amazon-affiliate web-app

Claude Models

claude-opus-4-6

Quality Score

F
44.9/100
Structure
45
Code Quality
53
Documentation
36
Testing
0
Practices
59
Security
84
Dependencies
60

Strengths

  • Good security practices \u2014 no major issues detected
  • Properly licensed project

Weaknesses

  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment
  • 290 duplicate lines detected \u2014 consider DRY refactoring

Recommendations

  • Add a test suite \u2014 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

Security & Health

8.1h
Tech Debt (C)
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (16)
Open data scored by Repobility · https://repobility.com
Unlicense
License
4.7%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

javascript
48.2%
json
43.1%
markdown
5.3%
css
1.9%
shell
1.0%
html
0.4%
toml
0.1%

Frameworks

Express Vite

Concepts (2)

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CategoryNameDescriptionConfidence
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/
auto_descriptionProject DescriptionA full-stack, multi-user comic book tracking platform with: - Clerk authentication with "secret identity" onboarding - Amazon affiliate buy buttons on every comic80%
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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