ajayji-sdk-test

v0.1.0 safe
3.0
Low Risk

Python SDK for the Ajayji Local Daemon

🤖 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.

💬 Discussion Feed

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