AI Analysis
Final verdict: SAFE
The package shows no signs of risky behavior such as network calls, shell executions, obfuscations, or credential harvesting. It appears safe to use based on the provided analysis.
- No network calls detected.
- No shell execution patterns detected.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network interaction for its functionality.
- Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
- Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret or credential theft.
Package Quality Overall: Low (2.8/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
7.0
Some documentation present
Documentation URL: "Documentation" -> https://marketplace.singularitynet.io/servicedetails/org/neuDetailed PyPI description (1436 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
○ Low
Multiple Contributors
1.0
Could not retrieve contributor data from GitHub
GitHub API error: 404
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
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: gmail.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 6.0
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor 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 agentsentinel-langgraph
Create a Python-based security monitoring tool named 'LangGraphGuard' that leverages the 'agentsentinel-langgraph' package to secure LangGraph agent workflows. This tool will serve as a real-time monitor and alert system for any suspicious activities or security breaches within the workflows of LangGraph agents. Here’s a detailed breakdown of the project requirements: 1. **Setup**: Begin by installing the necessary packages including 'agentsentinel-langgraph'. Ensure your environment is set up to handle real-time data processing. 2. **Core Functionality**: Implement the core functionality that scans and monitors LangGraph agent workflows for any anomalies or potential threats using the capabilities provided by 'agentsentinel-langgraph'. 3. **Alert System**: Develop an alert system that sends notifications via email or SMS when a security threat is detected. Notifications should include details about the threat and recommended actions. 4. **Dashboard**: Create a simple web dashboard using Flask or Django to visualize the security status of LangGraph agent workflows. The dashboard should display real-time alerts, historical data, and provide options to filter and sort alerts based on various criteria. 5. **Customization**: Allow users to customize the types of security checks and alerts through a configuration file or API. Users should be able to specify their own thresholds and rules for what constitutes a security breach. 6. **Testing and Documentation**: Write comprehensive tests to ensure the tool works as expected under different scenarios. Also, create detailed documentation that guides users on how to install, configure, and use 'LangGraphGuard'. By following these steps, you'll build a robust security monitoring tool that significantly enhances the security posture of LangGraph agent workflows.