Mac Bar

D 53 completed
Mobile App
unknown / swift · tiny
31
Files
1,925
LOC
0
Frameworks
3
Languages

Pipeline State

completed
Run ID
#369282
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
26.50
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47686
Member of a group with 2 similar repo(s) — canonical #71788 view group →
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.

AI Prompt

Create a mobile application for macOS using Swift, which I'm calling "Mac Bar." This app should be built as a native macOS application. I'm starting with a basic structure, and I've noticed there are some JSON and YAML files present, so perhaps include basic configuration handling for those formats. The goal is to build out the core functionality for this macOS utility.
swift macos mobile-app apple-platform native-app
Generated by gemma4:latest

Catalog Information

The Mac Bar project is a mobile application for macOS, developed in Swift.

Description

Mac Bar is a mobile app designed to provide users with a convenient interface to access and manage various system settings on their macOS devices. However, without further information, the specific features and functionality of this app are unknown.

الوصف

هذا مشروع تطبيقات هاتف macOS، تم تطويره بلغة Swift. لا يوجد معلومات متوفرة حول ميزات هذا التطبيق أو كيفية عملها.

Novelty

3/10

Tags

system-settings macos-device-management convenience-tool

Claude Models

claude-opus-4.6

Quality Score

D
52.6/100
Structure
40
Code Quality
82
Documentation
0
Testing
15
Practices
78
Security
100
Dependencies
60

Strengths

  • CI/CD pipeline configured (github_actions)
  • Consistent naming conventions (PascalCase)
  • Low average code complexity \u2014 well-structured code
  • Good security practices \u2014 no major issues detected

Weaknesses

  • Missing README file \u2014 critical for project understanding
  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • 137 duplicate lines detected \u2014 consider DRY refactoring

Recommendations

  • Add a comprehensive README.md explaining purpose, setup, usage, and architecture
  • Add a test suite \u2014 start with critical path integration tests
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

5.6h
Tech Debt (D)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (7)
Repobility — the code-quality scanner for AI-generated software · https://repobility.com
Unknown
License
0.9%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

swift
91.5%
json
5.3%
yaml
3.2%

Frameworks

None detected

Quality Timeline

1 quality score recorded.

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![Quality](https://repos.aljefra.com/badge/93485.svg)
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