Saykokil

D 53 completed
Web App
containerized / html · tiny
11
Files
1,488
LOC
1
Frameworks
4
Languages

Pipeline State

completed
Run ID
#366036
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
55.29
Framework unique
Isolation
Last stage change
2026-05-10 03:26:32
Deduplication group #61099
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionWeb Backend
Repobility · open methodology · https://repobility.com/research/

AI Prompt

Create a web application using Go with the Gin framework to track daily employee performance. The system needs to calculate a weighted score based on 8 specific criteria (like 'İş Kalitesi' with 20% weight). The frontend should be a standalone HTML/CSS/JS dashboard that visualizes performance using a radar chart and displays rankings. The backend must handle CRUD operations for employees and score submissions, using SQLite for persistence. Finally, provide Dockerfile and Kubernetes manifests for containerization and orchestration.
go gin html sqlite web-app performance-tracking dashboard docker kubernetes
Generated by gemma4:latest

Catalog Information

A web application that tracks daily employee performance using a weighted scoring system for operations teams.

Description

Saykokil is a lightweight web platform designed for daily performance monitoring of employees in operational settings. It assigns scores across eight weighted criteria, calculates a composite score, and presents rankings and radar visualizations to highlight strengths and weaknesses. The system offers a RESTful API for CRUD operations on employees and scores, while the front‑end delivers an interactive dashboard without external dependencies. Target users include HR managers, team leaders, and operations managers who need transparent, data‑driven insights into staff performance. By automating score collection and analysis, the tool reduces manual effort and promotes fair evaluation practices.

الوصف

يُقدّم هذا التطبيق واجهة ويب مبسطة تُسهم في مراقبة أداء الموظفين يوميًا داخل بيئات التشغيل. يُقيم كل موظف عبر ثمانية معايير موزونة، ويُحسب مجموعًا مركبًا يُظهر تصنيفًا وترتيبًا واضحًا. تُعرض النتائج على لوحة تحكم تفاعلية، مع مخططات رادار تُبرز نقاط القوة والضعف في الأداء. يتيح النظام واجهة برمجة تطبيقات REST لإدارة الموظفين وتسجيل النقاط، مع قاعدة بيانات SQLite محلية تُحافظ على البيانات بشكل آمن. يستهدف التطبيق مديري الموارد البشرية وقادة الفرق ومديري العمليات الذين يحتاجون إلى رؤى مبنية على البيانات لتقييم الأداء بشفافية وعدالة. يساهم الأتمتة في تقليل الجهد اليدوي وتعزيز ثقافة التقييم المستند إلى النتائج.

Novelty

6/10

Tags

performance-tracking employee-evaluation daily-scoring weighted-metrics dashboard-visualization team-management kpi-monitoring radar-chart

Technologies

ent gin

Claude Models

claude-opus-4.6

Quality Score

D
52.8/100
Structure
44
Code Quality
70
Documentation
30
Testing
0
Practices
80
Security
100
Dependencies
60

Strengths

  • 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
  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment

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

Security & Health

4.1h
Tech Debt (D)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (7)
All rows scored by the Repobility analyzer (https://repobility.com)
Unknown
License
0.0%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

html
59.6%
go
27.8%
yaml
6.8%
markdown
5.8%

Frameworks

Gin

Concepts (2)

Repobility · code-quality intelligence · https://repobility.com
CategoryNameDescriptionConfidence
Want fix-PRs on findings? Install Repobility's GitHub App · github.com/apps/repobility-bot
auto_descriptionProject DescriptionEkip performansını günlük olarak takip eden, ağırlıklı puanlama sistemi kullanan web uygulaması.80%
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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