auditory-debugger

v0.1.0 safe
3.0
Low Risk

Audio-driven debugger with watchdog UI utilities.

🤖 AI Analysis

Final verdict: SAFE

The package exhibits minimal risk indicators across all checks performed, suggesting it is unlikely to pose a threat. The metadata risk score is slightly elevated due to low activity and effort, but this alone does not indicate malicious behavior.

  • No network or shell risks detected
  • Minimal obfuscation and credential risks
  • Low metadata activity
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package focused on local debugging.
  • Shell: No shell executions detected, consistent with a benign utility package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
  • Metadata: The package shows signs of low activity and metadata effort, but there are no clear red flags indicating malicious intent.

📦 Package Quality Overall: Low (1.4/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 5 commits in andreamirarchi/auditory_debugger
  • Single author with few commits — possibly a personal or throwaway project

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository andreamirarchi/auditory_debugger appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "Andrea Mirarchi" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with auditory-debugger 
Create a Python-based audio-driven debugging tool called 'AudioWatch'. This tool will help developers debug their code by providing real-time feedback through sound cues instead of just visual notifications. The application should have the following functionalities:

1. **Integration with Auditory Debugger**: Utilize the 'auditory-debugger' package to set up sound alerts at specific breakpoints in the code.
2. **Customizable Sound Cues**: Allow users to choose from a variety of sound effects or upload their own audio files to use as debugging signals.
3. **Real-Time Monitoring**: Implement a feature that monitors the execution flow of a program and triggers sound alerts when it hits predefined breakpoints.
4. **Watchdog Timer**: Incorporate a watchdog timer that emits an alert if the program execution exceeds a certain time limit, helping to identify performance bottlenecks.
5. **User Interface**: Develop a simple and intuitive UI using Tkinter or any other preferred Python GUI library, which allows users to configure settings such as breakpoints and timeout limits.
6. **Logging Mechanism**: Include a logging mechanism that records all events (sound alerts, timeouts, etc.) for post-run analysis.
7. **Compatibility**: Ensure the tool works seamlessly with Python scripts and popular IDEs like PyCharm and VSCode.

The goal is to create a user-friendly and efficient debugging tool that enhances the developer's experience by leveraging auditory feedback alongside traditional visual cues.

💬 Discussion Feed

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