🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network, shell, obfuscation, and credential handling. However, its low maintainer activity and poor metadata quality raise concerns about potential supply-chain risks.

Low maintainer activity
Poor metadata quality

Per-check LLM notes

Network: Network calls are typical for an SDK that interacts with a service over HTTP.
Shell: No shell execution patterns were detected.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret or credential theft.
Metadata: The package shows low maintainer activity and poor metadata quality, raising some suspicion but not conclusive evidence of malintent.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

p("/") self._client = httpx.AsyncClient( base_url=self.base_url, verify=ssl_
try: async with httpx.AsyncClient( verify=ssl_context if ssl_context is not No
self.http_client = httpx.AsyncClient(verify=ssl_context) else: self.http_clie
self.http_client = httpx.AsyncClient() async def _send_request(self, command: TaskCommand) -

✓ 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: ioa.pub>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" 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 acps-sdk

Create a collaborative task management app using the ACPs SDK (Agent Collaboration Protocols SDK). This app will allow users to create tasks, assign them to other users, and collaborate on these tasks through an intuitive interface. Users will be able to see real-time updates of task status, comments, and file attachments related to each task. Here’s a detailed breakdown of the steps and features involved:

1. **Setup Environment**: Begin by setting up your Python development environment. Ensure you have Python installed and then install the 'acps-sdk' package via pip.
2. **User Authentication**: Implement user authentication so that only registered users can access and modify their tasks. Utilize OAuth or JWT tokens for secure user sessions.
3. **Task Creation**: Allow users to create new tasks. Each task should include a title, description, due date, priority level, and a set of collaborators.
4. **Collaboration Features**: Enable real-time collaboration among users on tasks. Users should be able to add comments, upload files, and mark tasks as complete or incomplete.
5. **Real-Time Updates**: Integrate the 'acps-sdk' package to handle real-time communication between users and agents managing the tasks. This ensures that all changes made to a task are immediately reflected across all clients.
6. **Task Status Management**: Provide a feature to track the progress of tasks. Users should be able to view a timeline of all changes made to a task, including who made the change and when.
7. **Notifications**: Implement a notification system where users receive alerts about new tasks assigned to them, updates on tasks they are following, and any direct mentions in comments.
8. **User Interface**: Develop a clean, user-friendly interface using Flask for the backend and React for the frontend. Ensure that the UI is responsive and accessible.
9. **Testing and Deployment**: Conduct thorough testing of the application to ensure it functions correctly under various scenarios. Once tested, deploy the app to a cloud service provider like AWS or Heroku.

Throughout the project, make sure to leverage the 'acps-sdk' package for its capabilities in facilitating agent collaboration and real-time data synchronization. This will be crucial for ensuring seamless interaction among users and efficient task management.