autobale

v1.0.0 safe
4.0
Medium Risk

Modern async client for Bale.

🤖 AI Analysis

Final verdict: SAFE

The package is considered safe with a low risk score. It primarily addresses known issues and adds new features to an existing, though unmaintained, library without any indications of malicious intent or risky practices.

  • Low risk scores across all categories.
  • No signs of obfuscation, shell execution, or credential harvesting.
Per-check LLM notes
  • Network: The package uses aiohttp to make network requests which is common for packages needing internet access.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: Low risk, but new and potentially low-effort package warrants caution.

📦 Package Quality Overall: Low (4.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1334 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

  • 199 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 100 commits in AliEmadii/autobale
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • e) self.session = aiohttp.ClientSession( timeout=session_timeout, proxy=self.proxy
  • n: self.session = aiohttp.ClientSession(proxy=self.proxy) headers = { "User-Age
  • l=None) session = aiohttp.ClientSession(timeout=session_timeout, proxy=self.proxy) headers
✓ 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

Repository AliEmadii/autobale appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "Ali Emadi" 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 autobale 
Create a modern, asynchronous chatbot application using the Python package 'autobale'. This chatbot will serve as a versatile communication tool, capable of performing various tasks such as sending messages, receiving user inputs, and interacting with external APIs to fetch information or perform actions based on user commands. Here’s a detailed breakdown of the project requirements:

1. **Setup**: Begin by installing the 'autobale' package along with other necessary Python libraries such as 'requests' for API interactions.
2. **Authentication**: Implement a secure method to authenticate users via the Bale platform, ensuring that the chatbot can access the user's account and perform actions on their behalf.
3. **Core Functionality**:
   - **Message Sending**: Enable the bot to send text messages to specified contacts or groups.
   - **Message Receiving**: Allow the bot to listen for incoming messages and respond appropriately.
4. **Advanced Features**:
   - **Command Handling**: Integrate a command system where users can type specific keywords to trigger predefined actions or responses from the bot.
   - **API Integration**: Connect the bot to external APIs (such as weather services or news feeds) to provide users with real-time data.
5. **User Interface**: Design a simple yet effective interface for managing the bot's operations, including setting up commands, viewing logs, and monitoring performance.
6. **Testing & Deployment**: Ensure thorough testing of all functionalities before deploying the bot to a production environment.

Throughout the development process, utilize 'autobale' to handle all aspects of communication with the Bale platform, leveraging its asynchronous capabilities to ensure smooth and efficient operation.

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