Mithro Random Sdr

D 53 completed
Cli Tool
unknown / python · tiny
16
Files
1,692
LOC
0
Frameworks
3
Languages

Pipeline State

completed
Run ID
#361406
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
26.64
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47591
Member of a group with 1 similar repo(s) — canonical #65621 view group →
Top concepts (1)
Documentation
Repobility analyzer · published findings · https://repobility.com

AI Prompt

I want to build a Python tool that generates random signals specifically for software-defined radio (SDR) applications. The project structure should be set up cleanly, perhaps including a `scripts/` directory for execution logic and a `systemd/` directory if it needs to run as a service. Please ensure the core functionality focuses on the random signal generation aspect, and include necessary documentation placeholders.
python sdr signal-generation software-defined-radio scripting
Generated by gemma4:latest

Catalog Information

This project generates random signals for software-defined radio applications.

Description

Mithro Random SDR is a tool that generates random signals for use in software-defined radio (SDR) projects. It provides a simple way to create test signals, allowing developers to focus on their application without worrying about signal generation. The project is designed for use with various SDR platforms and can be integrated into existing workflows.

الوصف

هذا المشروع يولد إشارات عشوائية لاستخدامها في مشاريع الراديو المحددة بالبرمجيات. يوفر طريقة بسيطة لتوليد الإشارات للتحقق من عمل التطبيقات دون الحاجة إلى توليد الإشارات بنفسك. يمكن دمج هذا المشروع مع مختلف منصات الراديو المحددة بالبرمجيات ودمجه في تدفقات العمل.

Novelty

3/10

Tags

signal-generation software-defined-radio test-signals random-signal-generator sdr-applications

Claude Models

claude-opus-4.5

Quality Score

D
52.6/100
Structure
42
Code Quality
80
Documentation
37
Testing
0
Practices
64
Security
92
Dependencies
60

Strengths

  • Consistent naming conventions (kebab-case)
  • Good security practices \u2014 no major issues detected
  • Properly licensed project

Weaknesses

  • Missing README file \u2014 critical for project understanding
  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment

Recommendations

  • Add a comprehensive README.md explaining purpose, setup, usage, and architecture
  • 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

4.1h
Tech Debt (D)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (6)
Repobility · severity-and-effort ranking · https://repobility.com
Apache-2.0
License
32.9%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
47.2%
markdown
45.7%
shell
7.1%

Frameworks

None detected

Concepts (1)

Analysis by Repobility (https://repobility.com) · MCP-ready
CategoryNameDescriptionConfidence
Repobility — the code-quality scanner for AI-generated software · https://repobility.com
auto_categoryDocumentationdocs70%

Quality Timeline

1 quality score recorded.

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