apcore-a2a

v0.4.0 suspicious
5.0
Medium Risk

Automatic A2A Protocol Adapter for apcore Module Registry

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some signs of potential risk, particularly concerning metadata and network interactions, but lacks clear indicators of malicious intent.

  • metadata risk due to non-secure links and low author activity
  • network risk due to possible authenticated HTTP requests
Per-check LLM notes
  • Network: The network call pattern suggests the package may be making authenticated HTTP requests, which could be legitimate if it's designed to interact with external services.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
  • Metadata: The presence of non-secure links and an author with minimal activity suggests potential risk, though direct evidence of malicious intent is lacking.

📦 Package Quality Overall: Medium (5.6/10)

✦ High Test Suite 9.0

Test suite present — 26 test file(s) found

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

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/aiperceivable/apcore-a2a-python#readme
  • Detailed PyPI description (7899 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

  • 127 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 32 commits in aiperceivable/apcore-a2a-python
  • Single author but highly active (32 commits)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • ] = auth self._http = httpx.AsyncClient(timeout=timeout, headers=headers) self._card_fetcher
✓ 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: aiperceivable.com>

⚠ Suspicious Page Links score 6.0

Found 3 suspicious link(s) on the package page

  • Non-HTTPS external link: http://0.0.0.0:8000
  • Non-HTTPS external link: http://127.0.0.1:8000/explorer/
  • Non-HTTPS external link: http://remote-agent:8000
⚠ 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 apcore-a2a 
Your task is to develop a fully-functional mini-application that leverages the 'apcore-a2a' package to manage and adapt communications between different devices using the Automatic A2A Protocol. This application will serve as a bridge between various devices, ensuring seamless communication regardless of their protocol differences. Here's a detailed breakdown of your project requirements and steps:

1. **Project Overview**: Create a device communication hub named 'A2A Hub'. This hub will facilitate communication between multiple devices by automatically adapting their protocols to ensure they can communicate effectively.

2. **Core Features**:
   - **Device Registration**: Allow users to register their devices with the hub. Each device will have a unique identifier.
   - **Protocol Detection**: Automatically detect the protocol used by each device upon registration.
   - **Communication Adaptation**: Use 'apcore-a2a' to automatically adapt messages sent from one device to another based on their detected protocols.
   - **Message Relay**: Relay messages between devices in real-time, ensuring that the message content is preserved while adhering to the target device's protocol.
   - **Status Monitoring**: Provide a dashboard for monitoring the status of all registered devices and the ongoing communication sessions.

3. **Implementation Steps**:
   - Set up a basic Python environment with Flask for web services.
   - Integrate the 'apcore-a2a' package to handle protocol adaptation.
   - Develop APIs for device registration, message sending, and status monitoring.
   - Implement a front-end interface using HTML/CSS/JavaScript for user interaction and monitoring.
   - Test the application thoroughly to ensure reliability and efficiency.

4. **Suggested Enhancements**:
   - Add support for multiple communication channels (e.g., HTTP, MQTT).
   - Implement error handling and retry mechanisms for failed transmissions.
   - Incorporate security features such as encryption for data transmission.
   - Develop mobile apps for iOS and Android to allow remote control and monitoring.

5. **Utilizing 'apcore-a2a' Package**: The 'apcore-a2a' package will be crucial for managing the protocol adaptation layer. It will be responsible for detecting the incoming protocol, adapting it to the outgoing protocol, and ensuring that the message integrity is maintained during the transformation process. You'll need to explore its documentation and examples to understand how to integrate it into your application flow.

Your goal is to create a robust and scalable communication hub that simplifies device-to-device communication across various protocols.

💬 Discussion Feed

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