🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risks in terms of network usage, shell execution, and code obfuscation. However, the metadata risk score is elevated due to a lack of maintainer history, raising suspicion about its legitimacy.

Low risk in network calls, shell execution, and obfuscation.
High metadata risk due to newness and lack of maintainer history.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
Shell: No shell execution patterns detected, indicating the package does not execute external commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
Credentials: No credential harvesting patterns detected, suggesting no immediate threat related to secret or credential theft.
Metadata: The package shows signs of being newly created and lacks maintainer history, which raises concerns about its legitimacy.

🔬 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 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 package
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 aap-manifest

Create a mini-application called 'AgentManifestManager' using Python that leverages the 'aap-manifest' package to manage and interact with agents according to the Agent Acknowledgment Protocol (AAP). This application will serve as a bridge between different agent systems, allowing users to easily acknowledge receipt of messages, tasks, or other forms of communication from various sources. Here are the key features and steps to implement this application:

1. **Setup**: Start by setting up a virtual environment and installing the 'aap-manifest' package along with any necessary dependencies.
2. **Core Functionality**:
   - Implement functions to generate AAP manifests for outgoing messages or tasks.
   - Develop a parser to read and interpret incoming AAP manifests.
3. **User Interface**: Create a simple command-line interface (CLI) for interacting with the application. Users should be able to input commands to send acknowledgments, check received manifests, and more.
4. **Database Integration**: Integrate a local SQLite database to store records of sent and received AAP manifests for auditing purposes.
5. **Security Measures**: Ensure all communications are secure by implementing encryption for sensitive data within AAP manifests.
6. **Testing & Documentation**: Write comprehensive tests to ensure each feature works as expected. Also, document the codebase and provide usage instructions for end-users.
7. **Deployment**: Prepare the application for deployment on a server or cloud platform, ensuring it can scale to handle multiple concurrent connections.