autoconfigpy

v0.2.5 suspicious
4.0
Medium Risk

Simple JSON config and data storage for Python apps, games, bots, tools, and servers.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a moderate risk due to unverified metadata and potential network risks. While there are no immediate signs of malicious activity, the lack of repository availability and limited maintainer details raise concerns about its legitimacy.

  • Metadata risk with repository not found and limited maintainer information
  • Potential network risk associated with fetching JSON data
Per-check LLM notes
  • Network: The presence of network calls to fetch JSON data is common for configuration or dependency management purposes but should be reviewed for the destination URL and data being exchanged.
  • Shell: No shell execution patterns detected, which is normal and indicates no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository is not found, and the maintainer has limited information, which raises concerns about the legitimacy of the package.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 6 test file(s) found

  • 6 test file(s) detected (e.g. __init__.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (4200 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 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 64 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • /json" try: with urllib.request.urlopen(url, timeout=timeout) as response: raw =
✓ 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

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ 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 autoconfigpy 
Create a simple configuration manager for a hypothetical game server using the 'autoconfigpy' Python package. This tool will allow the server administrator to easily manage various settings such as game mode, player limits, and server status without needing to modify the code directly.

### Steps:
1. **Setup**: Install the 'autoconfigpy' package and create a new Python file for your configuration manager.
2. **Configuration File Creation**: Use 'autoconfigpy' to create a default JSON configuration file containing placeholders for the following keys: 'game_mode', 'player_limit', 'server_status'.
3. **User Interface**: Develop a command-line interface that allows users to view, edit, and save these configuration settings.
4. **Validation**: Implement basic validation to ensure that only valid values are set for each key (e.g., 'server_status' should only accept 'ONLINE', 'OFFLINE').
5. **Persistence**: Ensure that any changes made through the UI are saved back to the JSON configuration file using 'autoconfigpy'.
6. **Documentation**: Write a brief documentation explaining how to use the configuration manager and where to find the configuration file.

### Features:
- Ability to read and write to a JSON configuration file.
- Command-line interface for easy interaction.
- Validation of input values to prevent errors.
- Detailed documentation for setup and usage.

### Utilization of 'autoconfigpy':
- Use 'autoconfigpy' to handle all interactions with the JSON configuration file, including reading defaults, writing updates, and validating entries. This will streamline the process of managing configurations and reduce the risk of human error when manually editing files.

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