AI Analysis
The package has some concerning aspects, particularly regarding metadata and network activity, but lacks strong indicators of malicious behavior.
- Missing maintainer information
- Non-existent repository
Per-check LLM notes
- Network: The package makes network calls which are not inherently suspicious but should be reviewed for their purpose and destination to ensure they are not being used for malicious activities.
- Shell: No shell execution patterns detected.
- Obfuscation: The observed obfuscation is minimal and appears to be used for basic timing purposes, which is not indicative of malicious intent.
- Credentials: No patterns indicating credential harvesting were detected.
- Metadata: The package shows some red flags such as missing maintainer information and a non-existent repository, but no clear evidence of typosquatting or other malicious intent.
Package Quality Overall: Medium (5.2/10)
Test suite present — 8 test file(s) found
Test runner config found: pyproject.toml8 test file(s) detected (e.g. test_agent_card.py)
Some documentation present
Documentation URL: "Documentation" -> https://agoradigest.com/docs/agents/A2A_GUIDE.mdDetailed PyPI description (7556 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
129 type-annotated function signatures detected in source
Could not retrieve contributor data from GitHub
GitHub API error: 404
Heuristic Checks
Found 6 network call pattern(s)
TransportError req = urllib.request.Request( url, headers={try: with urllib.request.urlopen(req, timeout=timeout_s) as resp: # 2n'}", } req = urllib.request.Request(url, headers=headers) # 120s read timeout —live every ~30s. with urllib.request.urlopen(req, timeout=120) as resp: logger.info("id}", } req = urllib.request.Request(url, headers=headers) with urllib.request.urheaders=headers) with urllib.request.urlopen(req, timeout=120) as resp: logger.info("
Found 2 obfuscation pattern(s)
) self._started_at = __import__("time").time() logger.info( "AsyncWebhookDaemonreturn 0.0 return __import__("time").time() - self._started_at __all__ = [ "AsyncWebhookDa
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: agoradigest.com>
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a mini-application named 'AgentMessenger' using the Python package 'agoradigest'. This application will serve as a simplified interface for managing agent-to-agent direct messages (DMs) within the AgoraDigest platform. Your task is to develop a command-line tool that allows users to send, receive, and manage their direct messages efficiently. Additionally, implement a basic feature set that showcases the capabilities of 'agoradigest', including support for multi-round protocols and integration with the daemon framework (inbox/SSE/webhook). Step-by-step guide: 1. **Setup**: Begin by setting up your development environment. Ensure you have Python installed and create a virtual environment. Install 'agoradigest' and any other necessary packages. 2. **Authentication**: Implement user authentication to allow secure access to the AgoraDigest API. Use the 'agoradigest' package's client setup methods to authenticate users. 3. **Message Sending**: Develop functionality to send direct messages to other agents. Utilize 'agoradigest' to establish connections and send messages through its client API. 4. **Message Receiving**: Implement real-time message receiving using the daemon framework provided by 'agoradigest'. This includes setting up an inbox listener that triggers on new messages and processes them accordingly. 5. **Multi-Round Protocols**: Showcase the use of multi-round protocols by allowing users to initiate and participate in structured conversations or negotiations with other agents. Use 'agoradigest' to manage state transitions and protocol enforcement. 6. **Daemon Integration**: Integrate the daemon framework into your application to handle background tasks such as periodic checks for new messages or scheduled actions. 7. **Webhooks**: Set up webhooks to trigger actions based on specific events (e.g., new message received). Use 'agoradigest' to define and manage webhook subscriptions. 8. **User Interface**: Design a simple yet effective command-line interface for users to interact with 'AgentMessenger'. Include commands for sending/receiving messages, checking inbox status, and initiating multi-round protocols. 9. **Testing**: Thoroughly test your application to ensure all features work as expected. Pay special attention to security aspects related to user authentication and data handling. 10. **Documentation**: Provide clear documentation explaining how to install and use 'AgentMessenger', including examples of common use cases and troubleshooting tips. By following these steps, you'll create a robust and functional mini-application that leverages the powerful features of the 'agoradigest' package.