aurra-langchain

v0.1.0 suspicious
5.0
Medium Risk

LangChain integration for Aurra — memory infrastructure with citations, audit trails, and bi-temporal versioning

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risk in terms of network, shell, and obfuscation activities, but the metadata risk score is high due to the unfindable repository and a potentially inactive maintainer, raising suspicion.

  • No network calls or shell executions detected.
  • High metadata risk due to untraceable repository and potential inactivity of the maintainer.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository not being found and the maintainer having a new or inactive account raises concerns.

📦 Package Quality Overall: Low (4.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_history.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.aurra.us
  • Detailed PyPI description (3648 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

  • 8 type-annotated function signatures (partial)
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 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: aurra.us>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 aurra-langchain 
Develop a mini-application called 'MemoryTrail' that leverages the 'aurra-langchain' package to create a sophisticated note-taking system with advanced tracking capabilities. This application will allow users to write notes, save them with timestamps, and track changes over time. Additionally, it will support adding references to external sources and maintaining an audit trail of all actions taken on each note.

### Core Features:
1. **Note Creation**: Users can create new notes with titles and content.
2. **Version Control**: Each note will have multiple versions, each saved with a timestamp, allowing users to revert to previous states if needed.
3. **Audit Trail**: Every action performed on a note (creation, modification, deletion) is logged, providing a comprehensive history.
4. **Citations**: Users can add citations to their notes, linking them to external sources or other notes within the system.
5. **Bi-Temporal Versioning**: Notes will be accessible in both historical and current contexts, enabling users to see how they evolved over time.
6. **Search Functionality**: A robust search feature that allows users to find notes based on keywords, dates, or even referenced sources.

### How 'aurra-langchain' is Utilized:
- **Integration Setup**: Begin by installing the 'aurra-langchain' package and setting up the necessary configurations to connect your application to the Aurra memory infrastructure.
- **Creating and Saving Notes**: Use the package's APIs to create and save notes, ensuring that each save operation triggers the creation of a new version with a timestamp.
- **Audit Trails**: Implement functionality that logs every interaction with a note into the audit trail provided by 'aurra-langchain'.
- **Citation Management**: Integrate citation support using 'aurra-langchain', allowing users to link their notes to external resources or other internal notes.
- **Bi-Temporal Access**: Leverage the bi-temporal capabilities of 'aurra-langchain' to enable users to view notes as they were at different points in time.
- **Search Enhancements**: Utilize the citation and version information managed by 'aurra-langchain' to enhance the search experience, allowing more nuanced queries.

Your task is to design and implement a user-friendly interface for these functionalities, ensuring seamless integration with 'aurra-langchain'.

💬 Discussion Feed

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