amd-debug-tools

v0.2.19 safe
3.0
Low Risk

debug tools for AMD systems

🤖 AI Analysis

Final verdict: SAFE

The package is assessed as safe with a low risk score due to no network calls, no evidence of credential harvesting, and no obfuscation. The shell execution risk is moderate but seems related to the package's intended functionality.

  • No network calls detected
  • No credential harvesting patterns found
  • Potential shell execution for debugging purposes
Per-check LLM notes
  • Network: No network calls detected, indicating low risk.
  • Shell: Shell execution appears to be related to debugging tools and version control, which could be legitimate but requires further investigation into the package's purpose.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating secure handling of sensitive information.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 18 test file(s) found

  • 18 test file(s) detected (e.g. test_acpi.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (2031 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 8 type-annotated function signatures (partial)
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • sts(p) and is_root(): os.system("modprobe msr") try: f = os.open(p, os.O_RDONLY)
  • th.exists(p): os.system("modprobe cpuid") with open(p, "rb") as f:
  • """ try: result = subprocess.check_output( ["git", "log", "-1", '--format=commit %h ("%s")
  • rue try: subprocess.check_call(installer) except subprocess.CalledProcessError as e
  • try: iasl = subprocess.call(["iasl", "-v"], stdout=subprocess.DEVNULL) == 0
  • htool = ( subprocess.call(["ethtool", "-h"], stdout=subprocess.DEVNULL) == 0
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: kernel.org>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with amd-debug-tools 
Create a Python-based utility called 'AMD System Debugger' that leverages the 'amd-debug-tools' package to provide advanced diagnostic capabilities for AMD system hardware. This utility will serve as a comprehensive tool for developers and IT professionals to diagnose issues related to AMD processors and other hardware components.

The application should include the following core functionalities:
1. **System Information Retrieval**: The utility should be able to gather detailed information about the AMD CPU, GPU, and other relevant hardware components such as memory and storage devices.
2. **Performance Monitoring**: Implement real-time monitoring of key performance indicators such as clock speeds, temperature, power consumption, and cache usage for both CPUs and GPUs.
3. **Error Detection and Logging**: Automatically detect errors or anomalies in the hardware and log them for further analysis. This could include overheating warnings, unexpected power drops, or any other critical alerts.
4. **Diagnostic Tests**: Provide a suite of diagnostic tests that users can run to check the health and functionality of their AMD hardware. These tests should cover areas like stress testing, memory checks, and GPU benchmarks.
5. **User Interface**: Develop a simple and intuitive command-line interface (CLI) or a basic graphical user interface (GUI) using a library like Tkinter or PyQt.
6. **Configuration Management**: Allow users to configure settings such as which components to monitor, alert thresholds, and logging preferences.

To achieve these goals, you will utilize the 'amd-debug-tools' package to access low-level system diagnostics and control functionalities provided by AMD. Your task is to write clean, modular code that integrates seamlessly with the 'amd-debug-tools' API, ensuring that the utility is both powerful and easy to use. Additionally, ensure that your application includes comprehensive documentation and examples for other developers to extend or modify the utility as needed.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!