akari-bot-i18n

v0.0.4 safe
4.0
Medium Risk

(No description)

🤖 AI Analysis

Final verdict: SAFE

The package exhibits low risks across multiple categories such as network, shell, and obfuscation, with no indications of malicious behavior. However, the metadata suggests potential inactivity and limited community support, which adds a slight concern.

  • Low network, shell, and obfuscation risks
  • Potential inactivity and lack of community support
Per-check LLM notes
  • Network: No network calls suggest the package does not attempt to communicate externally, which is normal for localization packages.
  • Shell: No shell executions indicate the package does not execute system commands, reducing risk of malicious activities.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of sensitive information.
  • Metadata: The package shows signs of potential inactivity and lack of community support, raising some suspicion but not definitive evidence of malice.

📦 Package Quality Overall: Low (3.0/10)

○ 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
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 8 type-annotated function signatures (partial)
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 11 commits in Teahouse-Studios/akari-bot-i18n
  • Two distinct contributors found

🔬 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

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 akari-bot-i18n 
Create a fully functional chatbot named 'Akari' using Python that leverages the 'akari-bot-i18n' package for multilingual support. This chatbot will be designed to assist users with basic information inquiries and provide localized responses based on the user's preferred language. Here are the key steps and features to implement:

1. **Setup and Configuration**: Start by installing the necessary packages including 'akari-bot-i18n'. Configure your environment to use the package effectively.
2. **Language Detection**: Implement a feature where the chatbot automatically detects the user's preferred language from their device settings or through a simple command input. Use 'akari-bot-i18n' to manage and switch between different language files seamlessly.
3. **Response Generation**: Design a system where the chatbot can generate responses in the detected language. Ensure that these responses are not only accurate but also culturally appropriate.
4. **User Interaction**: Allow users to interact with the chatbot through text inputs. The chatbot should be able to understand common commands and queries related to weather, time, and general knowledge.
5. **Localization Files Management**: Utilize 'akari-bot-i18n' to manage different localization files for various languages. This includes adding new languages and updating existing ones easily.
6. **Error Handling and Feedback**: Implement mechanisms to handle errors gracefully and provide feedback to users when something goes wrong, ensuring a smooth user experience.
7. **Testing and Deployment**: Conduct thorough testing to ensure all functionalities work as expected across different languages. Once ready, deploy the chatbot on a platform like Telegram or Discord.

This project aims to showcase the capabilities of 'akari-bot-i18n' in providing multilingual support for chatbots while maintaining a user-friendly interface and efficient performance.

💬 Discussion Feed

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