askconfer

v0.8.0 suspicious
4.0
Medium Risk

Python SDK for Confer — distributed-knowledge inquiries, humans and agents on the same surface.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has moderate metadata risk due to untraceable repository and limited maintainer activity, raising concerns about its legitimacy and ongoing support.

  • Metadata risk score of 6 out of 10
  • Repository not found and maintainer has only one package
Per-check LLM notes
  • Network: The presence of network calls is common for packages that require internet access for functionality, but further investigation is needed to ensure legitimacy.
  • Shell: No shell execution patterns detected, indicating low risk.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
  • Metadata: The repository not being found and the maintainer having only one package suggest potential low activity or suspicious behavior.

📦 Package Quality Overall: Low (3.2/10)

○ 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://confer.team/documentation
  • Detailed PyPI description (3533 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

  • 90 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • pi_url self._client = httpx.AsyncClient( timeout=timeout, headers=default_he
  • pi_url self._client = httpx.Client( timeout=timeout, headers=default_he
✓ 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 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "Confer" 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 askconfer 
Create a collaborative knowledge management system using the 'askconfer' Python package. This system will allow multiple users to contribute, query, and collaborate on a shared repository of information. The app should include the following functionalities:

1. User Authentication: Implement a simple user authentication system allowing registered users to log in and access their workspace.
2. Knowledge Base Management: Users should be able to create, edit, and delete entries in the knowledge base. Each entry should have a title, description, and tags for easy searching.
3. Distributed Inquiries: Utilize the 'askconfer' package to enable users to pose questions to the system which can be answered collaboratively by other users and AI agents. These answers should be stored and linked back to the original question for future reference.
4. Real-time Collaboration: Enable real-time editing of entries in the knowledge base so multiple users can work on the same document simultaneously without conflicts.
5. Notification System: Notify users when someone responds to their questions or edits their contributions.
6. Search Functionality: Implement a robust search feature that allows users to find specific pieces of information based on keywords, tags, or titles.
7. Integration with External Tools: Optionally, integrate with external tools like Slack or email for notifications and further collaboration.

The 'askconfer' package will be utilized primarily for handling distributed inquiries, where it will facilitate the process of asking questions and receiving answers from both human contributors and AI agents within the platform. Ensure that the system is designed to be scalable and user-friendly.

💬 Discussion Feed

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