🤖 AI Analysis

Final verdict: SAFE

The package appears safe with no detected network calls, shell executions, obfuscations, or credential risks. The metadata risk is slightly elevated due to missing author details and a single package, but there are no indications of malicious intent.

No network calls
No shell executions
No obfuscation or credential harvesting
Metadata risk due to incomplete author information

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external communication.
Shell: No shell execution detected, indicating the package does not execute commands on the host system.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: Suspicious due to missing git repository and author with only one package, but no clear signs of typosquatting or other malicious intent.

🔬 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

No author email provided

✓ 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 2.0

1 maintainer concern(s) found

Author "The AgentForge Authors" 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 agentforge-guard-nemo

Develop a conversational AI assistant named 'GuardedNemo' using the 'agentforge-guard-nemo' package, which integrates NeMo Guardrails into the AgentForge framework. This mini-app will serve as a personalized virtual assistant designed to handle specific tasks within a corporate environment, ensuring compliance with company policies and security protocols through programmable guardrails.

### Project Overview:
- **Objective**: Create a conversational AI assistant that can perform tasks such as scheduling meetings, sending emails, and managing contacts while adhering to predefined rules and restrictions.
- **Target Audience**: Corporate employees who need assistance with daily administrative tasks.
- **Key Features**:
- **Task Management**: Ability to schedule meetings, send emails, and manage contacts.
- **Compliance Checking**: Ensure all actions comply with company policies and legal requirements.
- **Security Enforcement**: Prevent unauthorized access or actions based on user roles and permissions.
- **Customizable Guardrails**: Allow administrators to define and modify guardrails based on evolving business needs.

### Utilizing 'agentforge-guard-nemo':
- Use 'agentforge-guard-nemo' to implement guardrails that enforce compliance and security policies during conversations. For example, ensure that meeting requests adhere to company calendar policies, email content does not violate confidentiality agreements, and contact management respects privacy laws.
- Integrate guardrails dynamically based on user identity, role, and context to provide tailored experiences and restrictions.

### Development Steps:
1. **Setup Environment**: Install necessary packages including 'agentforge-guard-nemo', 'nemo-sdk', and other dependencies.
2. **Define Business Rules**: Work with stakeholders to outline key business rules and guardrails that must be enforced by the assistant.
3. **Implement Core Functionality**: Develop the main functionalities of the assistant, focusing on task management capabilities.
4. **Integrate Guardrails**: Use 'agentforge-guard-nemo' to implement guardrails that check and enforce compliance and security policies.
5. **Testing & Validation**: Conduct thorough testing to ensure that the assistant functions correctly and that guardrails are effective.
6. **Deployment**: Deploy the application in a secure, production-ready environment.
7. **Maintenance & Updates**: Regularly update the guardrails and functionalities based on feedback and changing business needs.

This project aims to showcase the power of integrating NeMo Guardrails into a conversational AI assistant, demonstrating how advanced AI can be made both powerful and compliant.