alfig-py

v0.1.1 safe
4.0
Medium Risk

Unified config library — TOML, JSON, YAML, and CONF interchangeably

🤖 AI Analysis

Final verdict: SAFE

The package has minimal risks with no network or shell execution detected. While there is some use of encoding and decoding that might indicate obfuscation, there is no clear evidence of malicious intent.

  • Low network and shell risk
  • Potential obfuscation techniques but no clear malicious intent
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, indicating no direct system command execution from the package.
  • Obfuscation: The code appears to be using encoding and decoding techniques which could be used for obfuscation but may also serve legitimate purposes such as handling configuration files.
  • Credentials: No clear patterns indicative of credential harvesting were found.
  • Metadata: The package shows low author engagement and poor metadata quality, but there's no clear indication of malicious intent.

📦 Package Quality Overall: Medium (5.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_alfig.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "documentation" -> https://github.com/dominionthedev/alfig#readme
  • Detailed PyPI description (6830 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

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

Limited contributor diversity

  • 2 unique contributor(s) across 23 commits in dominionthedev/alfig
  • Two distinct contributors found

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • text) return tomllib.load(__import__("io").BytesIO(text.encode())) def dump(data: dict, path: str) -
✓ 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

Repository dominionthedev/alfig appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 alfig-py 
Create a versatile configuration management tool using the 'alfig-py' package in Python. This tool will allow users to manage different types of configurations (TOML, JSON, YAML, and CONF formats) seamlessly. The goal is to build a command-line interface (CLI) application that supports reading, writing, merging, and validating configurations across various file formats.

**Step 1: Setup Project Structure**
- Initialize a new Python project with a virtual environment.
- Install 'alfig-py' and other necessary dependencies like 'toml', 'json', 'yaml', and 'confuse'.
- Set up a basic project structure with directories for source code, tests, and documentation.

**Step 2: Implement Core Features**
- Develop functions to read and write configurations from/to files in any supported format.
- Create functionality to merge two or more configuration files into a single output file.
- Integrate validation checks to ensure configurations adhere to predefined schemas or rules.

**Step 3: CLI Development**
- Use Python's argparse module to create a user-friendly CLI for interacting with the configuration manager.
- Commands should include options for specifying input/output file paths, file formats, and actions (read, write, merge, validate).
- Provide help and usage information for each command.

**Step 4: Testing & Documentation**
- Write unit tests for all core functionalities using pytest.
- Document the codebase and CLI usage in a README.md file.
- Include examples of how to use the tool effectively with different file types.

**Suggested Features**
- Support for environment variables to override configuration settings.
- A feature to compare differences between two configuration files.
- Ability to generate default configurations based on templates.
- Integration with logging for better debugging and monitoring.

Utilize the 'alfig-py' package throughout your implementation to handle the interchangeability and conversion between the different configuration formats. Ensure your solution demonstrates the flexibility and power of 'alfig-py' in managing complex configuration tasks.

💬 Discussion Feed

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