🤖 AI Analysis

Final verdict: SAFE

The package has a low risk score due to its minimal interaction with external networks and lack of any obfuscation or credential harvesting activities.

Low network risk
No shell execution detected
No obfuscation detected
No credential risk

Per-check LLM notes

Network: The presence of network calls suggests the package interacts with external services, which is common but should be verified against the package's intended functionality.
Shell: No shell execution patterns detected, indicating low risk of direct system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.

📦 Package Quality Overall: Low (4.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

Test runner config found: pyproject.toml

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (13650 chars)

◈ Medium Contributing Guide 7.0

Some contribution signals present

Governance file: security.py

◈ Medium Type Annotations 5.0

Partial type annotation coverage

176 type-annotated function signatures detected in source

○ 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 score 3.0

Found 2 network call pattern(s)

is None: client = httpx.Client(follow_redirects=True) client_supplied = False
e: async_client = httpx.AsyncClient(follow_redirects=True) async_client_supplied = F

✓ 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 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "ratna" 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 ajayji-sdk-test

Your task is to create a mini-application named 'Ajayji Dashboard' using the Python SDK 'ajayji-sdk-test'. This application will serve as a user-friendly interface to monitor and manage various tasks handled by the Ajayji Local Daemon. Your goal is to design an application that allows users to interact with the daemon through a simple command-line interface (CLI).

The application should have the following core functionalities:
1. **Daemon Status Check**: Allow users to check if the Ajayji Local Daemon is running and its current status.
2. **Task Management**: Enable users to start, stop, and view logs of specific tasks managed by the daemon.
3. **Configuration Update**: Provide a way for users to update configuration settings for the daemon.
4. **Help and Documentation**: Include a help section that provides information on how to use each command and a brief overview of the daemon's functionality.

To achieve these functionalities, you will need to utilize the 'ajayji-sdk-test' package. Specifically, you'll be using methods provided by the SDK to interact with the daemon, such as checking its status, managing tasks, and updating configurations.

Here's a step-by-step guide on how to approach this project:
- **Step 1**: Install the 'ajayji-sdk-test' package using pip.
- **Step 2**: Create a CLI parser using Python's argparse module to handle different commands.
- **Step 3**: Implement functions for each core functionality listed above. For example, use the SDK's methods to fetch the daemon's status and display it to the user.
- **Step 4**: Add error handling to ensure the application gracefully handles any issues, such as the daemon not being found.
- **Step 5**: Document your code thoroughly, explaining how each part interacts with the 'ajayji-sdk-test' package.
- **Step 6**: Test your application with different scenarios to ensure all functionalities work as expected.

This project will not only demonstrate your ability to work with a Python SDK but also showcase your skills in building user-friendly CLI applications.