🤖 AI Analysis

Final verdict: SAFE

The package exhibits low risks across all key areas, with no network calls, shell executions, or obfuscations detected. While there are some concerns regarding metadata quality and maintainer activity, these alone do not suggest malicious intent.

Low network and shell execution risk
No obfuscation or credential harvesting detected
Metadata quality and maintainer activity are questionable

Per-check LLM notes

Network: No network calls were detected, which is normal unless the package requires internet access for its functionality.
Shell: No shell execution was detected, indicating that the package does not execute external commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some signs of low maintainer activity and poor metadata quality, 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

Create a personal flashcard system using the Anki package in Python. This system will allow users to efficiently study and memorize information through customizable flashcards. The application should include the following features:

1. **User Authentication**: Allow users to create accounts and log in to access their personalized flashcard decks.
2. **Deck Creation**: Users should be able to create multiple decks, each dedicated to a specific topic or subject.
3. **Card Management**: Within each deck, users can add, edit, delete, and review flashcards. Each card should have a front side (question) and a back side (answer).
4. **Scheduling System**: Implement Anki's spaced repetition algorithm to optimize the timing of card reviews based on user performance.
5. **Progress Tracking**: Provide statistics on the number of cards reviewed, the accuracy of answers, and the time spent studying.
6. **Customization Options**: Allow users to customize the appearance of their flashcards and decks.
7. **Export/Import Decks**: Enable users to export their decks to a file and import them into other instances of the application or Anki software.
8. **Integration with Anki Web Services**: Optionally, integrate with AnkiWeb services to synchronize decks across devices.

To utilize the Anki package, you'll need to leverage its API to manage collections of notes and cards. Specifically, use the `anki.collection.Collection` class to interact with your local Anki database, where all the flashcard data is stored. Additionally, explore the `anki.notes.Note` and `anki.cards.Card` classes to handle individual flashcards and their properties. Remember to adhere to best practices for handling user data securely, especially when dealing with authentication and synchronization.