🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate network interaction risks and concerns over metadata transparency, suggesting potential issues that warrant closer scrutiny.

moderate network risk
lack of detailed maintainer information

Per-check LLM notes

Network: The observed network calls suggest the package interacts with an external service, which could be legitimate but requires further investigation into its purpose and destination.
Shell: No shell execution patterns were detected.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package is new and lacks detailed maintainer information, raising suspicion but not conclusive evidence of malice.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

.domain}/run" resp = requests.post(url, json={"prompt": prompt, **kwargs}, timeout=30)
e_ttl self.session = requests.Session() self.session.headers.update({ "User-

✓ 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: agenticyellowpage.com>

✓ 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

Only one version has ever been released — brand new package
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 agentic-yp

Create a mini-application named 'AgenticYPBrowser' using the Python package 'agentic-yp'. This application will serve as a user-friendly interface for querying and interacting with services listed on the Agentic Yellow Pages A2A routing network. The goal is to provide users with a simple way to discover and utilize various services available through the network.

#### Core Features:
1. **Service Discovery:** Allow users to search for services by category, name, or keyword. Implement autocomplete functionality to suggest services as the user types.
2. **Service Details:** Display detailed information about each service including its description, rating, reviews, and pricing if applicable.
3. **Request Service:** Enable users to request services directly from the app. Users should be able to specify any required parameters and submit their requests.
4. **Feedback System:** Allow users to leave feedback and ratings after using a service.
5. **User Profiles:** Implement basic user profiles where users can manage their account settings and view their history of requested services.

#### Additional Features:
- Integrate a chatbot interface within the app for quick support and service-related queries.
- Implement a favorites system where users can save frequently used services.
- Include a tutorial section explaining how to use different services effectively.
- Provide a dashboard for service providers to manage their listings and monitor user interactions.

#### Utilization of 'agentic-yp':
- Use the 'agentic-yp' package to interact with the Agentic Yellow Pages network. Specifically, leverage its functions for searching services, making requests, and handling responses.
- For the service discovery feature, use the 'search_services' function provided by the package to query the network based on user input.
- When displaying service details, utilize the 'get_service_details' function to fetch comprehensive information about a specific service.
- To enable users to request services, implement the 'request_service' function, allowing users to specify necessary parameters and submit their requests through the app.
- For the feedback system, integrate the 'leave_feedback' function to allow users to rate and review services they have used.
- Ensure all interactions with the Agentic Yellow Pages network are secure and adhere to best practices for data handling and privacy.