🤖 AI Analysis

Final verdict: SAFE

The package appears to be safe based on its functionality and the analysis notes. While there is a higher metadata risk due to missing repository information and a short author name, no malicious activities or high-risk behaviors have been detected.

Low network, shell, obfuscation, and credential risks
Higher metadata risk due to incomplete metadata

Per-check LLM notes

Network: The observed network calls suggest normal SDK behavior for authentication and agent management, which aligns with the package's purpose.
Shell: No shell execution patterns were detected, indicating low risk.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The missing repository and short author name suggest potential risks.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

t]] = {} self._http = httpx.AsyncClient() self._dpop = dpop # -- token management -----
ion``. """ async with httpx.AsyncClient() as client: resp = await client.get(f"{hub_url.rstr
d and kid. """ resp = httpx.post( f"{idp_url}/agentid/agents", json={
the user. """ resp = httpx.post(f"{idp_url}/agentid/auth/device") resp.raise_for_status(
n failure. """ resp = httpx.post( f"{idp_url}/agentid/auth/device/token", jso
h verification.""" resp = httpx.post( f"{idp_url}/agentid/auth/login", json={"ext

✓ 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: alibaba-inc.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ 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 agent-id-client-sdk

Create a Python-based mini-application that serves as a personal AI assistant manager, utilizing the 'agent-id-client-sdk' package. This application will allow users to manage multiple AI agents they have access to, including starting, stopping, and sending commands to these agents. Additionally, it should provide functionalities such as monitoring the status of each agent and retrieving recent logs or outputs from the agents.

Steps to create the application:
1. Set up the development environment with Python installed.
2. Install the 'agent-id-client-sdk' package via pip.
3. Design a simple command-line interface (CLI) for user interaction.
4. Implement functions to authenticate users and authorize access to their AI agents.
5. Develop features to start, stop, and send commands to AI agents using the 'agent-id-client-sdk'.
6. Add functionality to monitor the status of AI agents and display this information to the user.
7. Include an option to view recent logs or outputs from the agents.
8. Test the application thoroughly with different scenarios.
9. Document the code and provide usage instructions.

Suggested Features:
- User authentication and authorization
- CLI commands for managing agents (start, stop, send commands)
- Real-time status updates for agents
- Log retrieval for troubleshooting and review
- Ability to configure agent settings
- Error handling and logging

The 'agent-id-client-sdk' package will be utilized to interact with the AI agents, providing the necessary methods to perform actions like starting and stopping agents, sending commands, and retrieving logs. Ensure that you explore the documentation of 'agent-id-client-sdk' to understand its capabilities and limitations.