🤖 AI Analysis

Final verdict: SAFE

The package shows minimal signs of potential risk, with only a moderate metadata risk due to the maintainer's limited presence on PyPI.

network risk is acceptable
no signs of obfuscation, shell execution, or credential harvesting
low maintainer activity

Per-check LLM notes

Network: The presence of an HTTP client suggests the package may perform network communications, which is not inherently suspicious but should be reviewed to ensure it aligns with its intended functionality.
Shell: No shell execution patterns were detected, indicating a low risk of executing arbitrary commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret or credential theft.
Metadata: The maintainer has a single package and lacks PyPI classifiers, suggesting low effort or a new/inactive account.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

use HTTP clients") return requests.Session() from __future__ import annotations import base64 import

✓ 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

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "LDCLabs" 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 agent-protocols

Develop a social networking platform prototype called 'AgentConnect' that leverages the capabilities of the 'agent-protocols' Python package. This platform will focus on connecting agents based on their identities, profiles, and discourse. Here’s a detailed breakdown of what the application should achieve and how it will utilize the 'agent-protocols' package:

1. **User Registration & Authentication**: Implement user registration and login functionalities using the Agent Identity protocol from the 'agent-protocols' package. Ensure that users can securely register and authenticate themselves.
2. **Profile Management**: Allow users to manage their profiles using the Agent Profile protocol. Users should be able to add, edit, and view profile information such as name, bio, skills, and interests.
3. **Discourse System**: Integrate a discourse system where users can engage in discussions and share ideas. Use the Agent Discourse protocol to facilitate these interactions, allowing users to create threads, post messages, and reply to others.
4. **Search & Discovery**: Enable users to search for other agents based on various criteria such as location, interests, and skills. Utilize the search capabilities provided by the 'agent-protocols' package to implement this feature effectively.
5. **Notifications**: Implement a notification system to alert users about new messages, replies, and mentions within the discourse system. Use the notification APIs from the 'agent-protocols' package to manage these notifications efficiently.
6. **Analytics Dashboard**: Provide administrators with an analytics dashboard to monitor the usage statistics and performance metrics of the platform. Leverage the analytics tools offered by 'agent-protocols' to gather and display relevant data.
7. **Security Enhancements**: Ensure that all communication between the client and server is encrypted and secure. Use the security features provided by 'agent-protocols' to protect user data and communications.

For each feature, provide code snippets that demonstrate how the 'agent-protocols' package is integrated into the application. Additionally, include a brief explanation of how each protocol contributes to the overall functionality and user experience of 'AgentConnect'.