avar-me

v0.0.1 suspicious
5.0
Medium Risk

Avar language dictionary library and CLI for developers

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risks in terms of network usage, shell execution, obfuscation, and credential handling. However, the metadata risk score is high due to suspicious repository activity and maintainer history, raising concerns about potential supply-chain attacks.

  • High metadata risk due to suspicious git repository activity
  • Maintainer history raises concerns
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution detected, indicating no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: High risk due to suspicious git repository activity and maintainer history.

📦 Package Quality Overall: Medium (5.0/10)

✦ High Test Suite 9.0

Test suite present — 5 test file(s) found

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

Some documentation present

  • Documentation URL: "Documentation" -> https://python.avar.me
  • Detailed PyPI description (1430 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

  • 25 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 3 commits in avar-me/python
  • Single author with few commits — possibly a personal or throwaway project

🔬 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: avar.me>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 7.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
  • Single contributor with only 3 commit(s) — possibly throwaway account
  • All 3 commits happened within 24 hours
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 avar-me 
Create a fully-functional mini-app called 'AvarTranslator' using the Python package 'avar-me'. This app will serve as a command-line tool for users to translate words from English into Avar and vice versa. The app should also allow users to save translations into a local SQLite database for future reference.

Step-by-Step Instructions:
1. Set up a virtual environment for your project and install the necessary packages including 'avar-me' and 'sqlite3'.
2. Create a main menu function that allows users to choose between translating a word from English to Avar, from Avar to English, or saving a translation.
3. Implement functions to handle translations using the 'avar-me' package. Ensure these functions can take user input, process it through the 'avar-me' library, and output the translated text.
4. Develop a feature to save translations into a local SQLite database. This should include creating a table if it doesn't exist, inserting new entries, and possibly retrieving previous translations based on user input.
5. Add functionality to display saved translations from the database when requested by the user.
6. Include error handling for invalid inputs or when a word cannot be found in the 'avar-me' dictionary.
7. Test the application thoroughly to ensure all features work correctly and efficiently.
8. Document the code well, explaining each part of the process and how 'avar-me' is integrated.
9. Optionally, add extra features such as a history log of all translations made, or the ability to delete specific translations from the database.

How to Utilize 'avar-me':
- Use 'avar-me' to provide the translation capabilities of the app. Import the necessary modules from 'avar-me' to access its dictionary functionalities.
- For translating from English to Avar, call the appropriate function from 'avar-me', passing the English word as an argument and handling the returned translation.
- Similarly, for translating from Avar to English, utilize 'avar-me' functions designed for this purpose.
- When saving translations, use the information obtained from 'avar-me' to store both the original word and its translation in the SQLite database.

💬 Discussion Feed

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