🤖 AI Analysis

Final verdict: SAFE

The package exhibits low risk in terms of network calls, shell execution, and obfuscation. However, there are some concerns regarding potential new or inactive maintainer activity.

Low risk in network, shell, and obfuscation activities.
Potential new or inactive maintainer activity noted.

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communications.
Shell: No shell execution patterns detected, indicating the package does not execute system commands.
Obfuscation: No obfuscation patterns detected, suggesting low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows signs of potential new or inactive maintainer activity with minimal engagement.

🔬 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: ai-manifests.org>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ 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 adp-manifest

Create a mini-application called 'ADP-Chat' that leverages the Agent Deliberation Protocol (ADP) through the Python package 'adp-manifest'. ADP-Chat will serve as a conversational interface where users can interact with AI agents that follow the deliberation protocol. This application should allow users to initiate conversations, receive responses from AI agents, and observe the deliberation process that occurs behind the scenes to generate these responses. Here’s a detailed breakdown of the steps and features required for this project:

1. **Setup Environment**: Ensure your development environment is set up with Python and install the 'adp-manifest' package using pip.
2. **User Interface Design**: Design a simple, intuitive user interface where users can input messages and see responses from the AI agent(s). This could be a command-line interface (CLI) or a basic web interface.
3. **Agent Integration**: Integrate at least two AI agents into ADP-Chat. These agents should be capable of generating responses based on user inputs but also adhere to the deliberation protocol defined in 'adp-manifest'.
4. **Deliberation Process Visualization**: Implement a feature that visualizes the deliberation process. Users should be able to see how different agents contribute to the final response, including any conflicts or agreements between agents.
5. **Customization Options**: Allow users to customize the behavior of the agents, such as setting preferences for certain topics or adjusting the level of formality in responses.
6. **Testing and Documentation**: Thoroughly test ADP-Chat to ensure it works as expected and write comprehensive documentation explaining how to use the application and the underlying 'adp-manifest' package.

Your task is to utilize the core functionalities provided by 'adp-manifest', such as manifest creation, agent interaction protocols, and deliberation tracking, to build a functional and engaging mini-application. Remember to focus on clarity, usability, and the effective demonstration of the ADP protocol.