atelier801

v1.0.7 safe
4.0
Medium Risk

Python library for Atelier 801 automation

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks across all categories except metadata, where there are some concerns about the rapid commit history and limited package history of the maintainer. However, there is no concrete evidence of malicious intent.

  • Rapid commit history
  • Limited package history from maintainer
Per-check LLM notes
  • Network: The use of requests.Session suggests the package is designed to make HTTP requests, which is common for many applications.
  • 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 credential theft.
  • Metadata: The rapid commit history and the maintainer's limited package history suggest potential risk, but no clear signs of malice.

📦 Package Quality Overall: Low (4.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (9106 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 23 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 24 commits in Lixense/atelier801
  • Single author but highly active (24 commits)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • ession >>> sess = requests.Session() >>> client = Atelier801(session=sess)
  • self.session = session or requests.Session() self.session.headers.update({ 'User-Ag
  • self): self.session = requests.Session() self.session.headers.update(DEFAULT_HEADERS)
  • s_file self.session = requests.Session() self.token: Optional[str] = None self.emai
  • g # get domains domains = requests.get("https://api.mail.tm/domains").json() domain = domains["h
  • 123" # create account r = requests.post( "https://api.mail.tm/accounts", json={ "
✓ 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: gmail.com

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: All 24 commits happened within 24 hours

  • All 24 commits happened within 24 hours
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Lixense" 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 atelier801 
Create a Python-based mini-application named 'AtelierScheduler' that leverages the 'atelier801' package to automate tasks within the Atelier 801 environment. This application will serve as a personal or team scheduler for managing various projects and tasks efficiently. Here are the key functionalities and steps you need to implement:

1. **User Authentication**: Implement a simple user authentication system where users can sign up, log in, and manage their profiles.
2. **Task Management**: Allow users to create, edit, delete, and view tasks. Each task should have details like title, description, start date, end date, and status (in progress, completed, pending).
3. **Project Integration**: Use the 'atelier801' package to integrate with Atelier 801 environments, allowing users to link their tasks directly to specific projects and track progress within the platform.
4. **Notifications & Reminders**: Set up notifications and reminders for upcoming deadlines and milestones. Users should receive alerts via email or in-app notifications when tasks are due.
5. **Reporting & Analytics**: Provide reporting tools to generate summaries of completed tasks, ongoing projects, and any other relevant analytics.
6. **User Interface**: Develop a clean, intuitive UI using a framework like Flask or Django for web-based access. Ensure it's mobile-friendly.

To utilize the 'atelier801' package effectively, follow these guidelines:
- Import necessary modules from the 'atelier801' package at the beginning of your scripts.
- Use 'atelier801' functions to interact with Atelier 801 APIs, such as creating, updating, and deleting tasks.
- Handle errors gracefully and ensure data integrity during API interactions.

This project aims to streamline project management for Atelier 801 users by providing a robust, easy-to-use scheduling tool.

💬 Discussion Feed

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