atlaso

v0.1.0 suspicious
4.0
Medium Risk

A memory store that flags its own conflicts before your agent does.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network usage, shell execution, and obfuscation. However, the metadata risk score is elevated due to recent and rapid commits and a lack of maintainer information.

  • Recent and rapid commits without maintainer information.
  • Elevated metadata risk score.
Per-check LLM notes
  • Network: No network calls detected, which is normal for many packages that don't require internet access.
  • Shell: No shell execution patterns detected, indicating the package does not attempt to execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The recent and rapid commits, along with the lack of maintainer information, raise concerns about potential malicious intent.

📦 Package Quality Overall: Low (3.4/10)

○ 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://docs.atlaso.dev/sdk
  • Detailed PyPI description (9776 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

  • Classifier: Typing :: Typed
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 5 commits in imashishkh21/atlaso
  • Single author with few commits — possibly a personal or throwaway project

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ 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: atlaso.ai>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: All 5 commits happened within 24 hours

  • All 5 commits happened within 24 hours
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 atlaso 
Create a Python-based desktop application named 'ConflictTracker' using the 'atlaso' package. This application will serve as a memory management tool for tracking and resolving data conflicts in real-time within a multi-user environment. Here’s a detailed breakdown of the application's functionalities and how to integrate 'atlaso' into it:

1. **User Interface**: Design a clean, user-friendly interface using a GUI framework like Tkinter or PyQt. Ensure it has sections for displaying conflict logs, user actions, and resolution statuses.

2. **Memory Store Initialization**: Use 'atlaso' to initialize a memory store that will track all data entries across multiple users. This store should automatically flag any potential conflicts based on predefined rules (e.g., duplicate entries, version mismatches).

3. **Real-Time Monitoring**: Implement real-time monitoring where any new entry or update made by a user is immediately checked against the existing data in the memory store. If a conflict is flagged, alert the user through the UI and log the conflict.

4. **Conflict Resolution Module**: Develop a module within the application that provides options for resolving conflicts. These options could include merging entries, overwriting older versions, or manually reviewing each conflicting entry.

5. **Logging and Reporting**: Integrate logging functionality to keep a record of all conflicts, actions taken, and resolutions. Provide a feature to generate reports summarizing conflict trends and resolutions over a specified period.

6. **Integration with 'atlaso'**: Throughout the development, ensure that 'atlaso' is utilized effectively for managing memory stores and conflict detection. For example, use 'atlaso' methods to insert data, retrieve conflict flags, and manage the overall state of the memory store.

7. **Testing and Validation**: Before deployment, thoroughly test the application to ensure it correctly identifies conflicts, alerts users, and allows for effective resolution strategies. Validate the performance of 'atlaso' in handling large volumes of data and multiple concurrent users.

By following these steps, you will create a robust and user-friendly application that leverages the unique capabilities of 'atlaso' to enhance data integrity and conflict resolution in collaborative environments.

💬 Discussion Feed

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