🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in network and shell activities but raises concerns due to its new repository with no activity and limited maintainer history, suggesting potential supply-chain risks.

New and inactive repository
Limited maintainer history

Per-check LLM notes

Network: The presence of an HTTP/2 client suggests network communication, which could be legitimate if the package is designed to interact with web services.
Shell: No shell execution patterns were detected.
Metadata: The repository is new, has no activity, and the maintainer has limited history with PyPI.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

= [] self.session = httpx.AsyncClient(http2= True) self.use_webhook = use_webhook

✓ 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 score 5.0

Git history flags: Repository created very recently: 4 day(s) ago (2026-06-01T17:08:43Z)

Repository created very recently: 4 day(s) ago (2026-06-01T17:08:43Z)
Repository has zero stars and zero forks

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
Package is very new: uploaded 2 day(s) ago
Author "Yasin Oliayi" 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 Gyron

Create a fully functional mini-application using the Gyron package, which is an asynchronous framework designed specifically for developing bots on the Bale Messenger platform. Your task is to develop a bot named 'BaleWeatherBot' that fetches current weather information from an external API and sends it back to the user who requested it. The bot should also be able to handle basic commands like '/start', '/help', and '/weather [city name]'. Here’s a detailed breakdown of the requirements:

1. **Setup**: Begin by installing the necessary packages including Gyron and any required libraries for making HTTP requests and handling JSON data.
2. **Initialization**: Initialize your bot using Gyron, setting up the Bale Messenger bot with a unique token provided by Bale.
3. **Command Handling**: Implement command handlers for '/start', '/help', and '/weather [city name]'. For the '/weather' command, the bot should request current weather data from an external weather API (e.g., OpenWeatherMap). Ensure you have an API key from the service you choose.
4. **Message Formatting**: Format the weather information received from the API into a readable message format before sending it back to the user through Bale Messenger.
5. **Error Handling**: Implement error handling to manage cases where the city name is not recognized by the weather API or when there's a failure in fetching the data.
6. **User Interaction**: Ensure that the bot responds promptly and provides clear instructions if a user enters an incorrect command or input.
7. **Testing**: Test your bot thoroughly to ensure it works as expected under various conditions, including edge cases such as network issues or invalid city names.
8. **Documentation**: Write a brief README file explaining how to run the bot, including setup steps and any environment variables that need to be set.

By following these steps, you'll create a useful and engaging mini-application that leverages the power of Gyron to interact seamlessly with users on the Bale Messenger platform.