🤖 AI Analysis

Final verdict: SAFE

The package is considered safe with minimal risks detected across all categories. However, the metadata risk suggests a low level of effort and transparency, which may indicate a less experienced developer.

Low risk in network, shell, obfuscation, and credential aspects.
Metadata risk indicates potential lack of developer experience.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access to function properly.
Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some signs of low effort and potential lack of transparency, but there's no concrete evidence of malicious intent.

📦 Package Quality Overall: Low (1.2/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

○ Low Documentation 1.0

No documentation detected

No documentation URL, doc files, or meaningful description found

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

No GitHub repository linked — contributor count unavailable

🔬 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

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 8.0

4 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)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aisp-protocol

Develop a Python-based mini-app named 'AIChat' that leverages the 'aisp-protocol' package to enable users to interact with AI services through a command-line interface. This app should allow users to send text queries to an AI service and receive responses in real-time. Here are the steps and features you should include:

1. **Setup**: Begin by installing the 'aisp-protocol' package and setting up a basic Python environment.
2. **User Interface**: Create a simple command-line interface where users can enter their queries.
3. **Query Processing**: Use the 'aisp-protocol' package to process these queries. Ensure that the protocol supports sending text data and receiving responses.
4. **Response Handling**: Implement functionality to handle responses from the AI service, displaying them back to the user.
5. **Error Handling**: Add error handling mechanisms to manage any issues that arise during communication with the AI service.
6. **Logging**: Integrate logging capabilities to record interactions for debugging and analytics purposes.
7. **Enhancements**: Consider adding features such as query history, ability to switch between different AI services, and options to customize the interaction experience.

Your task is to write the complete code for this mini-app, including comments explaining each section of the code. Additionally, provide instructions on how to run the application and any prerequisites needed.