🤖 AI Analysis

Final verdict: SAFE

The package exhibits low risks across all assessed categories with no indications of malicious activity. However, the metadata quality is poor, raising some concern about the maintainer's diligence.

No network calls or shell executions detected
Lack of obfuscation or credential harvesting attempts
Poor metadata quality

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution detected, which is expected and safe.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows low effort in metadata and maintainer history, but lacks clear indicators of malicious intent.

📦 Package Quality Overall: Low (1.2/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

○ 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

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

○ 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

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

No GitHub repository linked

No GitHub repository link found

⚠ 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 anki-release

Create a Python-based desktop application named 'AnkiDependencyManager' which will serve as a tool for managing and locking dependencies for Anki, a popular flashcard program. This application will use the 'anki-release' package to ensure that all necessary dependencies are correctly locked and compatible with the specific version of Anki being used.

The application should include the following features:
1. A user-friendly GUI built using PyQt5 or Tkinter, allowing users to easily interact with the application.
2. A feature to automatically detect the installed version of Anki on the user's system.
3. An interface to display the current dependencies required by Anki and their versions.
4. A functionality to lock these dependencies according to the specifications provided by the 'anki-release' package.
5. A log viewer that shows the process of dependency locking, including any errors or warnings encountered.
6. An option to save and load dependency configurations, allowing users to revert to previous setups if needed.
7. A help section explaining how to use the application and troubleshoot common issues.

To utilize the 'anki-release' package effectively, the application should:
- Import and initialize the 'anki-release' module at startup.
- Use the package's functions to fetch the correct dependency requirements for the detected Anki version.
- Provide a way for users to manually input specific dependency versions if they wish to override the defaults.
- Implement a feature to compare the currently installed dependencies with the ones required by Anki and highlight any discrepancies.
- Offer a button to apply the locked dependencies, which triggers the 'anki-release' package's locking mechanism.
- Ensure that all operations performed by the application are logged and can be reviewed by the user through the log viewer.