Anvil V1 Public

C 64 completed
Api
unknown / markdown · small
50
Files
19,128
LOC
1
Frameworks
7
Languages

Pipeline State

completed
Run ID
#352756
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
72.00
Framework unique
Isolation
Last stage change
2026-05-10 03:35:24
Deduplication group #56960
Member of a group with 2 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionWeb Backend
All rows above produced by Repobility · https://repobility.com

AI Prompt

Create a simple, single-file web application using Express.js that functions as an AI-powered navigation and vocational integration layer. The site needs a landing page with an 8-question career quiz, and separate pages for viewing the curriculum, generating certificates, and an admin dashboard. The backend should handle serving these static HTML pages and potentially process data related to benefits navigation, medical billing advocacy, or small business compliance, all while keeping the setup minimal—ideally requiring no database or complex build steps.
javascript express html web-app ai career-guidance static-site node.js documentation
Generated by gemma4:latest

Catalog Information

An AI-powered navigation and vocational integration layer that connects routing services with career guidance data to deliver personalized job and skill recommendations.

Description

The system exposes a set of HTTP endpoints that merge AI-driven navigation with vocational data, enabling developers to embed smart routing and career guidance into their applications. It offers real-time route optimization for career resources, skill mapping, and job matching based on location and expertise. The API is built on a lightweight framework, making it easy to integrate with existing web or mobile platforms. It targets career counselors, HR platforms, and students who need a unified solution for career planning. By combining routing logic with vocational insights, it solves the fragmentation of career resources and provides a single, coherent interface for personalized recommendations.

الوصف

يقدم النظام مجموعة من نقاط النهاية عبر بروتوكول HTTP التي تدمج التوجيه المدعوم بالذكاء الاصطناعي مع البيانات المهنية، مما يتيح للمطورين دمج التوجيه الذكي وخدمات التوجيه المهني داخل تطبيقاتهم. يوفر تحسين المسار في الوقت الحقيقي للموارد المهنية، ورسم خرائط للمهارات، وتطابق الوظائف استناداً إلى الموقع والخبرة. تم بناء واجهة برمجة التطبيقات على إطار عمل خفيف الوزن، ما يسهل دمجها مع منصات الويب أو التطبيقات المحمولة القائمة. يستهدف المستشارين المهنيين، ومقدمي خدمات الموارد البشرية، والطلاب الذين يحتاجون إلى حل موحد لتخطيط المسار المهني. من خلال الجمع بين منطق التوجيه والرؤى المهنية، يحل مشكلة تجزئة الموارد المهنية ويقدم واجهة موحدة ومتكاملة للتوصيات المخصصة.

Novelty

8/10

Tags

ai-navigation vocational-integration career-guidance job-matching skill-mapping routing-optimization personalized-recommendations career-planning

Technologies

express

Claude Models

claude-opus-4.6

Quality Score

C
64.4/100
Structure
60
Code Quality
62
Documentation
77
Testing
70
Practices
50
Security
74
Dependencies
60

Strengths

  • Good test coverage (50% test-to-source ratio)
  • Properly licensed project

Weaknesses

  • No CI/CD configuration \u2014 manual testing and deployment
  • Potential hardcoded secrets in 1 files
  • 286 duplicate lines detected \u2014 consider DRY refactoring
  • 5 'god files' with >500 LOC need decomposition

Recommendations

  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Move hardcoded secrets to environment variables or a secrets manager

Security & Health

5.3h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
Source: Repobility analyzer · https://repobility.com
MIT
License
1.2%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

markdown
41.0%
html
37.9%
python
15.4%
javascript
3.7%
json
1.0%
text
0.8%
yaml
0.1%

Frameworks

Express

Concepts (2)

Page rendered by Aljefra Mapper · scored by Repobility (https://repobility.com)
CategoryNameDescriptionConfidence
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/
auto_descriptionProject DescriptionAI took your job. Now put AI in YOUR hands.80%
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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