avowex

v0.1.0 suspicious
5.0
Medium Risk

Avowex Python SDK — add human-in-the-loop oversight and a tamper-evident audit trail to your AI agents.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some concerning metadata characteristics such as a lack of repository and sparse author information, raising suspicion about its origin and maintainers.

  • missing repository
  • single version release
  • minimal author information
Per-check LLM notes
  • Network: The observed network call pattern suggests the package is making HTTP requests, which could be legitimate if the package relies on external services.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
  • Metadata: The package shows several red flags including a missing repository, a single version release, and an author with minimal information.

📦 Package Quality Overall: Low (3.6/10)

○ 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://api.avowex.com/docs
  • Detailed PyPI description (823 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 16 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 1.5

Found 1 network call pattern(s)

  • ired") self._client = httpx.Client( base_url=base_url.rstrip("/"), time
✓ 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: avowex.com>

✓ 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 avowex 
Develop a mini-application named 'AI Oversight Tracker' using the Avowex Python SDK. This application will serve as a tool for developers to integrate human oversight into their AI systems, ensuring that the AI's actions are transparent and auditable. The app should allow users to create AI tasks, monitor their progress, and review any changes made by the AI with human verification steps in between.

### Features:
1. **Task Creation**: Users can define AI tasks with specific instructions and parameters.
2. **Progress Monitoring**: Real-time tracking of task execution status.
3. **Human Verification**: For critical decisions, the AI should pause and request human approval before proceeding.
4. **Audit Trail**: Detailed logs of all actions taken by the AI and humans involved in the process.
5. **Alert System**: Notifications for when human intervention is required or when tasks are completed.

### How Avowex is Utilized:
- Use Avowex to initialize the oversight mechanism for each task.
- Implement Avowex hooks to trigger human verification steps at predefined points during task execution.
- Leverage Avowex's tamper-evident logging capabilities to maintain an immutable record of all interactions and decisions made by both AI and human participants.
- Utilize Avowex's API to query and display the audit trail within the application's UI.

### Expected Outcome:
By the end of the project, you should have a functional web-based application that integrates seamlessly with any AI system, providing robust oversight and accountability mechanisms.

💬 Discussion Feed

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