automated-actions-client

v0.2.0 safe
4.0
Medium Risk

Automated Actions Client

🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate with no signs of malicious intent. It primarily focuses on network interactions typical for a client library, with minimal risks identified.

  • Network risk at 3/10 due to potential improper handling of network requests
  • Low metadata quality and missing author information require further investigation
Per-check LLM notes
  • Network: The use of httpx.Client and httpx.AsyncClient suggests the package is making network calls, which is common for packages with 'client' in their name, but requires further review to ensure proper authorization and data handling.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
  • Metadata: Low risk but requires further investigation due to missing author information and low metadata quality.

📦 Package Quality Overall: Low (4.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "documentation" -> https://github.com/app-sre/automated-actions
  • Detailed PyPI description (5690 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 131 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in app-sre/automated-actions
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

  • e: self._client = httpx.Client( base_url=self._base_url, co
  • context manager for internal httpx.Client (see httpx docs)""" self.get_httpx_client().__exit__(
  • self._async_client = httpx.AsyncClient( base_url=self._base_url, co
  • ontext manager for underlying httpx.AsyncClient (see httpx docs)""" await self.get_async_httpx_client
  • ) self._client = httpx.Client( base_url=self._base_url, co
✓ 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: redhat.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository app-sre/automated-actions appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • 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 automated-actions-client 
Create a fully functional mini-application named 'AutoTaskMaster' that leverages the capabilities of the 'automated-actions-client' package to automate repetitive tasks. This application will serve as a task management tool designed for individuals and small teams who wish to streamline their workflow by automating routine activities. The goal is to demonstrate how the 'automated-actions-client' can be integrated into a real-world application to enhance productivity.

### Core Functionality:
- **Task Creation:** Users should be able to create new tasks, specifying details such as name, description, due date, priority level, and associated tags.
- **Task Automation:** Utilize the 'automated-actions-client' package to schedule and execute these tasks automatically based on predefined triggers (e.g., time-based, event-based).
- **Task Monitoring:** Implement a feature where users can monitor the status of their tasks (in progress, completed, failed) and receive notifications about any changes.
- **Customization Options:** Allow users to customize their automation rules through a user-friendly interface.

### Suggested Features:
- **Integration with Calendar Apps:** Sync tasks with popular calendar applications like Google Calendar or Outlook.
- **Email Notifications:** Send email alerts when tasks are completed or if they fail to run as expected.
- **Dashboard View:** Provide a dashboard that gives an overview of all active tasks, upcoming deadlines, and completed tasks.
- **User Authentication:** Ensure secure access to the application using OAuth2 authentication.

### Implementation Steps:
1. **Setup Environment:** Begin by setting up a Python development environment with necessary packages including 'automated-actions-client'.
2. **Design Database Schema:** Plan out the database schema to store task information efficiently.
3. **API Development:** Develop APIs to handle CRUD operations for tasks and automation rules.
4. **Integrate 'automated-actions-client':** Use the 'automated-actions-client' to schedule and manage task execution according to the specified rules.
5. **Frontend Development:** Create a simple yet effective frontend using Flask or Django templates to interact with the backend APIs.
6. **Testing:** Thoroughly test the application to ensure all functionalities work as expected.
7. **Deployment:** Deploy the application on a cloud platform like Heroku or AWS.

This project aims to showcase the power of automation in simplifying daily tasks and improving overall efficiency.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!