alluvium-swarm

v0.5.1 suspicious
4.0
Medium Risk

A local-first free-form task inbox daemon for concurrent coding agents, Git worktrees, and maintainer-style integration.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate risk due to shell execution and a single package from the maintainer. While it does not make network calls, the presence of shell execution without clear documentation raises concerns about its purpose and safety.

  • Moderate shell risk due to undocumented shell execution
  • Single package from maintainer indicating possibly new or less active account
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network functionality.
  • Shell: Shell execution detected may indicate potential risk, especially if not documented or necessary for package functionality.
  • Metadata: The maintainer has only one package, which may indicate a new or less active account, but there are no other suspicious flags.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

  • Test runner config found: pyproject.toml
  • 1 test file(s) detected (e.g. test_alluvium.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (9482 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

  • 111 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

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • str(config_path)] proc = subprocess.Popen( command, cwd=str(config.root), stdi
  • letedProcess[str]: proc = subprocess.run( args, cwd=str(cwd) if cwd else None,
  • git_env(config), check=False, shell=True) ok = proc.returncode == 0 results.append(
✓ 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 2.0

1 maintainer concern(s) found

  • Author "Alluvium Contributors" 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 alluvium-swarm 
Create a fully-functional mini-app called 'TaskMaster' that leverages the 'alluvium-swarm' package to manage tasks and workflows for software development teams. TaskMaster should allow users to create, assign, track, and complete tasks within their local environment without needing centralized servers. Here's a step-by-step guide on what your app should do:

1. **Setup**: Ensure your application sets up an instance of 'alluvium-swarm' to handle local-first task management. This daemon will serve as the backbone for managing tasks and their states.
2. **Task Creation**: Users should be able to create new tasks through a simple command-line interface or a basic web frontend. Each task should have fields for title, description, assignee, priority, due date, and status (e.g., pending, in progress, completed).
3. **Assign Tasks**: Implement functionality to assign tasks to team members. If a team member is offline, the task should still be available locally until they come back online.
4. **Task Tracking**: Develop a feature that allows users to view all tasks, filter them by status, priority, or assignee, and update their statuses directly from the interface.
5. **Integration with Git Worktrees**: Integrate TaskMaster with Git worktrees so that each task can be associated with a specific branch or commit in a Git repository. This way, developers can switch between branches based on the task they're working on.
6. **Maintainer-Style Integration**: Allow maintainers to use TaskMaster to manage pull requests and issues from multiple repositories, ensuring seamless integration between different projects and tasks.
7. **Offline Support**: Since 'alluvium-swarm' supports local-first computing, ensure TaskMaster works seamlessly even when the user is offline. Once back online, it should synchronize changes automatically.
8. **Notifications**: Add support for notifications about task updates, deadlines, and reminders. These notifications should work both online and offline, syncing once the device reconnects.
9. **Security**: Ensure that sensitive information is encrypted and securely stored, leveraging 'alluvium-swarm's security features.
10. **Documentation**: Provide comprehensive documentation for setting up and using TaskMaster, including examples and best practices for integrating it into existing workflows.

By following these steps and utilizing the 'alluvium-swarm' package effectively, you'll create a powerful tool for managing tasks and workflows in a decentralized, secure, and efficient manner.

💬 Discussion Feed

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