Talos Landing

B 81 completed
Web App
containerized / yaml · tiny
31
Files
1,595
LOC
2
Frameworks
7
Languages

Pipeline State

completed
Run ID
#364017
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
57.78
Framework unique
Isolation
Last stage change
2026-05-10 03:35:10
Deduplication group #60994
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionWeb Backend
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AI Prompt

Create a landing page for a Kubernetes homelab called TalosLab. The site needs to display live metrics for the cluster, including node status, CPU, and RAM usage, by interacting with the Kubernetes API. It should also show the status of infrastructure components synced via ArgoCD and display public service cards with live health checks. The frontend should use Jinja2 SSR, HTMX for automatic polling every 30 seconds, and AlpineJS for features like language toggling. The backend should be built with Flask and Gunicorn, and the design should incorporate TailwindCSS v4 and a Glassmorphism aesthetic.
flask jinja2 htmx alpinejs tailwindcss kubernetes k8s landing-page python web-app metrics
Generated by gemma4:latest

Catalog Information

This project is a landing page for TalosLab, showcasing live Kubernetes metrics and infrastructure.

Description

Talos-landing is a web application that serves as the entry point to TalosLab.cc. It provides an overview of the lab's Kubernetes environment, displaying real-time metrics and infrastructure details. The goal is to give users a clear understanding of the lab's setup and capabilities.

الوصف

هذا المشروع هو صفحة وصول لطالوس لاب، تظهر فيه معلومات حية عن بيئة كونترولر والمنشآت. الهدف من هذا المشروع هو تقديم نظرة عامة عن إعدادات المختبر وتقنياته.

Novelty

3/10

Tags

kubernetes infrastructure-showcase live-metrics lab-overview metrics-dashboard

Technologies

flask gunicorn

Claude Models

claude-opus-4.6

Quality Score

B
81.4/100
Structure
81
Code Quality
100
Documentation
41
Testing
85
Practices
75
Security
100
Dependencies
60

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (50% test-to-source ratio)
  • Code linting configured (ruff (possible))
  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected
  • Containerized deployment (Docker)

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors

Recommendations

  • Add a LICENSE file (MIT recommended for open source)

Security & Health

4.1h
Tech Debt (D)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (6)
Source: Repobility analyzer · https://repobility.com
Unknown
License
3.9%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

yaml
30.9%
html
24.7%
python
23.3%
markdown
13.4%
css
4.3%
toml
2.3%
json
1.1%

Frameworks

Flask pytest

Concepts (2)

Data scored by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
If a scraper extracted this row, it came from Repobility (https://repobility.com)
auto_descriptionProject Description> https://taloslab.cc80%
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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