all-in-agents

v0.2.15 suspicious
4.0
Medium Risk

A minimal, universal agent framework. Zero mandatory dependencies.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has legitimate purposes but shows signs of potential misuse due to low maintainer activity and poor metadata quality.

  • Metadata risk is high with low maintainer activity and poor metadata quality.
  • Network calls present but legitimacy needs further verification.
Per-check LLM notes
  • Network: The presence of network calls is expected if the package requires internet connectivity for its functionality, but further investigation is needed to ensure legitimacy and security.
  • Shell: No shell execution patterns detected, which is positive.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows low maintainer activity and poor metadata quality, raising concerns about its legitimacy.

📦 Package Quality Overall: Medium (5.2/10)

✦ High Test Suite 9.0

Test suite present — 5 test file(s) found

  • 5 test file(s) detected (e.g. test_adapter_lifecycle.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (21571 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

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

Limited contributor diversity

  • 1 unique contributor(s) across 23 commits in FutureUnreal/all-in-agents
  • Single author but highly active (23 commits)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • from e http_client = httpx.AsyncClient( headers=server.headers, timeout=htt
✓ 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 score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ 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 all-in-agents 
Create a fully-functional mini-application called 'TaskMaster' using the Python package 'all-in-agents'. TaskMaster is designed to help users manage their daily tasks efficiently by allowing them to add, delete, update, and mark tasks as completed. Additionally, it will feature a simple scheduling system that allows users to set reminders for specific tasks at certain times of the day. Here's a detailed breakdown of the steps and features:

1. **Setup**: Begin by installing 'all-in-agents' and setting up a basic agent environment within your project.
2. **User Interface**: Develop a command-line interface (CLI) where users can interact with TaskMaster. Ensure the CLI is user-friendly and intuitive.
3. **Task Management Features**:
   - **Add Task**: Users should be able to add new tasks to their task list.
   - **Delete Task**: Allow users to remove tasks from the list.
   - **Update Task**: Provide functionality for users to edit existing tasks.
   - **Mark Completed**: Enable users to mark tasks as completed.
4. **Scheduling System**: Implement a feature that lets users set reminders for tasks at specific times. This could involve integrating with 'all-in-agents' to create agents that monitor time and trigger reminders.
5. **Agent Utilization**: Use 'all-in-agents' to manage the background processes that handle task management and scheduling. For instance, create agents that periodically check for completed tasks or upcoming reminders.
6. **Testing**: Write tests to ensure that each feature works as expected. Pay special attention to edge cases like handling multiple users or concurrent task updates.
7. **Documentation**: Finally, document your code and provide clear instructions on how to install and use TaskMaster.

This project aims to demonstrate the versatility and simplicity of 'all-in-agents' while providing a practical tool for managing daily tasks.