ai2070-net-sdk

v0.18.0 suspicious
4.0
Medium Risk

Ergonomic Python SDK for the Net mesh network

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate signs of potential obfuscation and lacks detailed metadata about its author, raising concerns about its legitimacy and purpose.

  • Moderate obfuscation risk due to use of regular expressions and JSON encoding.
  • Incomplete and potentially suspicious author metadata.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution detected, which is expected unless the package's functionality requires system commands.
  • Obfuscation: The code uses regular expressions and JSON encoding which could be part of normal functionality but also may indicate an attempt to obfuscate code or data.
  • Credentials: No clear patterns indicating credential harvesting were found.
  • Metadata: The author's details are incomplete and they appear to be new or inactive, which raises some suspicion but does not conclusively indicate malicious intent.

📦 Package Quality Overall: Low (4.6/10)

✦ High Test Suite 9.0

Test suite present — 8 test file(s) found

  • Test runner config found: pyproject.toml
  • 8 test file(s) detected (e.g. test_capability_enhancements.py)
○ 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
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 174 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in ai-2070/net
  • Two distinct contributors found

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • ============= _NUMERIC_RE = __import__("re").compile(r"^-?\d+(\.\d+)?$") def _try_parse_float(s: str)
  • n strings).""" return __import__("json").dumps(s) def _pred_debug_label(p: Predicate) -> str:
✓ 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 ai-2070/net appears legitimate

⚠ 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 ai2070-net-sdk 
Create a fully functional mini-application that utilizes the 'ai2070-net-sdk' Python package to manage and interact with a decentralized mesh network. This application will serve as a simple network management tool, allowing users to perform various operations on their nodes within the network. Here’s a step-by-step guide to building the application:

1. **Project Setup**: Begin by setting up your Python environment. Ensure you have the latest version of Python installed, and then install the 'ai2070-net-sdk' package using pip.

2. **Core Features**: Your application should include the following core functionalities:
   - Node Discovery: Allow users to discover other nodes in the network.
   - Node Management: Provide options to add, remove, and update node information.
   - Data Transmission: Implement a feature to send and receive data between nodes.
   - Network Status Monitoring: Monitor the health and status of the network and individual nodes.

3. **User Interface**: Develop a simple command-line interface (CLI) for the application. This CLI should provide clear commands for each feature mentioned above, along with appropriate prompts and feedback messages.

4. **Security Measures**: Incorporate basic security measures such as encryption for data transmission and authentication for node access.

5. **Testing and Documentation**: Write comprehensive tests for each function in your application to ensure reliability. Also, document your code and provide usage instructions for others who might use or contribute to your project.

6. **Integration with 'ai2070-net-sdk'**: Utilize the 'ai2070-net-sdk' package to handle the low-level details of interacting with the mesh network. For example, use its methods to establish connections, transmit data, and manage node configurations.

This project aims to demonstrate the capabilities of the 'ai2070-net-sdk' package while providing a practical tool for managing a mesh network.