AI Analysis
Final verdict: SUSPICIOUS
The package exhibits some unusual practices that raise suspicion but do not conclusively indicate malicious intent. The incomplete maintainer information and potential obfuscation suggest further scrutiny is warranted.
- Incomplete maintainer information
- Potential code obfuscation
Per-check LLM notes
- Network: No network calls detected, indicating low risk.
- Shell: Subprocess execution is present but without suspicious commands, suggesting normal operation but with some potential for misuse.
- Obfuscation: The obfuscation pattern is not typical of malicious activity but may indicate an attempt to obscure code logic.
- Credentials: No credentials or secrets harvesting patterns detected.
- Metadata: The maintainer's author information is incomplete and the account seems new or inactive, raising some suspicion but not conclusive evidence of malicious intent.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 2.0
Found 1 obfuscation pattern(s)
, ) preview_module = __import__("agenticx.memory.graph.store", fromlist=["_format_episode_body"]) preview = preview_module._format_episode_body(messages,
Shell / Subprocess Execution
score 10.0
Found 6 shell execution pattern(s)
x_cc_bridge") proc = subprocess.Popen( args, cwd=str(path), strm-256color") proc = subprocess.Popen( [exe], cwd=str(path), s# θΏθ‘ζ΅θ― process = subprocess.run( cmd, capture_output=True,}", "."] result = subprocess.run(build_cmd, capture_output=True, text=True)g}"] result = subprocess.run(push_cmd, capture_output=True, text=True):{tag}"] result = subprocess.run(inspect_cmd, capture_output=True, text=True)
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: hotmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository DemonDamon/AgenticX appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 agenticx
Develop a fully-functional mini-application using the 'agenticx' package, which is a unified, scalable, production-ready multi-agent application development framework. Your goal is to create a simple inventory management system for a small retail store. This system should allow the user to add new items, update item quantities, remove items, and display the current inventory status. Additionally, implement a feature where the system automatically alerts the manager when the quantity of any item falls below a specified threshold. Step-by-Step Instructions: 1. Set up your development environment with Python and install the 'agenticx' package. 2. Define at least three agents within the system: one for handling user input/output interactions, another for managing inventory updates, and a third for monitoring inventory levels. 3. Create functions for adding, updating, removing, and displaying inventory items. 4. Implement a threshold alert mechanism using one of the agents that sends notifications when stock levels drop below a set limit. 5. Ensure all agents communicate effectively and handle exceptions gracefully. 6. Test the application thoroughly to ensure it meets the requirements. 7. Document your code and provide instructions on how to run the application. Suggested Features: - User-friendly command-line interface for interaction. - Persistent storage of inventory data (e.g., SQLite database). - Real-time alerts via email or SMS (simulated for testing purposes). - Logging of all actions performed on the inventory. - Ability to export inventory data to CSV files.