agentdom

v3.7.0 suspicious
4.0
Medium Risk

The universal runtime that makes every website, desktop app, and API accessible to AI agents — zero human in the loop.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a moderate risk due to its network activity and the lack of proper maintainer metadata. While there are no immediate signs of malicious behavior, the combination of these factors raises concerns about potential supply-chain risks.

  • Moderate network risk
  • Inadequate maintainer metadata
Per-check LLM notes
  • Network: The presence of network calls suggests the package may be designed to communicate with external services, but further investigation is needed to confirm legitimacy.
  • Shell: No shell execution patterns detected, indicating a low risk of direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, which may indicate a less experienced or potentially suspicious maintainer.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • "args": args} async with httpx.AsyncClient(timeout=30) as client: res = await client.post(
✓ 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: getagentdom.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository RagavRida/agentdom appears legitimate

⚠ 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 agentdom 
Create a Python-based mini-application called 'AIAssistant' that leverages the 'agentdom' package to automate interaction with various web services and APIs without any human intervention. The application should be able to perform the following tasks:

1. **Task Automation**: Automate repetitive tasks such as filling out online forms, scheduling appointments, or even booking tickets by interacting with websites.
2. **Data Scraping**: Extract structured data from unstructured web pages, including but not limited to product information, customer reviews, and pricing details.
3. **API Integration**: Utilize APIs to gather real-time data or perform actions such as sending emails, making payments, or retrieving weather forecasts.
4. **User Interface**: Provide a simple command-line interface where users can input commands to trigger the above tasks.
5. **Logging and Reporting**: Maintain logs of all activities performed by the AI assistant and generate reports on request.
6. **Error Handling**: Implement robust error handling mechanisms to manage exceptions gracefully and ensure the application remains stable during unexpected situations.

**How to Use 'agentdom' Package**: 
- Utilize 'agentdom' to navigate through web pages, fill out forms, and interact with elements on the page.
- Use 'agentdom' to send HTTP requests to APIs and process responses.
- Leverage 'agentdom' for parsing HTML content to extract necessary data.
- Integrate 'agentdom' to monitor and control the execution flow of the application based on predefined rules or conditions.

Your task is to design and implement this application from scratch, ensuring it adheres to best practices in software development, including modular design, clean code, and efficient resource management.