autoheader

v11.0.0 safe
4.0
Medium Risk

Enterprise-grade file header tool that injects repo-relative path headers into Python files

🤖 AI Analysis

Final verdict: SAFE

The package autoheader v11.0.0 has been assessed with low risks across multiple categories. Although there is a moderate metadata risk, there is no concrete evidence suggesting malicious activity.

  • moderate metadata risk
  • low network, shell, obfuscation, and credential risks
Per-check LLM notes
  • Network: The use of urllib to make network calls could be legitimate if the package is designed to fetch headers or other information from URLs.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows some red flags but no clear evidence of malicious intent.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 5 test file(s) found

  • Test runner config found: pyproject.toml
  • 5 test file(s) detected (e.g. test_action_config.py)
◈ Medium Documentation 7.0

Some documentation present

  • Detailed PyPI description (9815 chars)
  • Classifier: Documentation
○ 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

  • Type checker (mypy / pyright / pytype) referenced in project
  • 47 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 82 commits in dhruv13x/autoheader
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • try: with urllib.request.urlopen(url, timeout=timeout) as response: i
✓ 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 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ 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 autoheader 
Create a mini-application called 'CodeHeaderGuard' using Python, which leverages the 'autoheader' package to manage file headers in a codebase. This application will help developers maintain consistent and compliant headers across their Python files, ensuring that all necessary information such as copyright notices, author details, and license agreements are correctly formatted and placed at the top of each file. The application should support adding headers to new files, updating existing ones, and even removing outdated headers.

Key Features:
- Automatically detect Python files within a specified directory or repository.
- Use 'autoheader' to generate appropriate headers based on user-defined templates.
- Allow customization of header content through configuration files or command-line arguments.
- Provide options to update headers in existing files, add headers to new files, and remove old headers.
- Include a dry-run mode to preview changes before applying them.
- Implement logging to track operations performed on files.

Steps to Build the Application:
1. Set up a virtual environment and install 'autoheader'.
2. Design a configuration system to store template paths and other settings.
3. Develop functions to scan directories for Python files.
4. Integrate 'autoheader' to process headers according to the provided templates.
5. Create command-line interfaces for different actions like 'add', 'update', 'remove', and 'preview'.
6. Add logging capabilities to record actions taken by the application.
7. Test the application thoroughly to ensure it works as expected in various scenarios.
8. Document the usage of 'CodeHeaderGuard', including setup instructions and examples.

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