atopile-aletheia

v0.1.0 suspicious
4.0
Medium Risk

Python SDK for the Aletheia EE agent evaluation platform.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risk factors but has significant metadata risk due to limited maintainer history and lack of a public repository, which raises suspicion.

  • Limited maintainer history
  • No public repository
Per-check LLM notes
  • Network: The network call pattern suggests the package is using httpx to make HTTP requests, which is common for packages that require external API interactions.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package is new with limited maintainer history and no public repository, raising concerns about its legitimacy.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (4437 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

  • 25 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)

  • ): self._client = httpx.Client( base_url=base_url.rstrip("/"), head
✓ 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 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 atopile-aletheia 
Develop a mini-application called 'Aletheia Agent Monitor' that allows users to interactively evaluate and monitor agents on the Aletheia EE platform using the atopile-aletheia Python SDK. This application will serve as a user-friendly interface for managing and assessing different AI agents. Here are the steps and features to include:

1. **Setup**: Install atopile-aletheia via pip and ensure all dependencies are properly configured.
2. **User Interface**: Create a simple, intuitive command-line interface (CLI) or a basic web interface using Flask or a similar lightweight framework. The choice of UI should be clearly documented in your setup instructions.
3. **Agent Management**: Allow users to add, remove, and list agents registered on their Aletheia EE account. Implement CRUD operations for managing agents through the atopile-aletheia SDK.
4. **Evaluation Metrics**: Display key performance indicators (KPIs) for each agent such as response time, accuracy, and reliability scores. Use atopile-aletheia to fetch these metrics from the Aletheia EE platform.
5. **Interactive Testing**: Enable users to send test queries to any selected agent and receive real-time responses. Implement a feature that shows the backend processing time and any errors encountered during the query execution.
6. **Report Generation**: Provide an option to generate detailed reports on agent performance over a specified period. These reports should be exportable as CSV or PDF files.
7. **Notifications**: Set up a system to notify users about critical events such as agent downtime or significant drops in performance scores.
8. **Security**: Ensure all interactions with the Aletheia EE platform are secure. Utilize atopile-aletheia's security features to manage API keys and other sensitive information securely.

The application should demonstrate proficiency in using atopile-aletheia's core functionalities, including agent management, performance evaluation, and secure data handling. Document each feature thoroughly, explaining how atopile-aletheia is integrated into the application's workflow.

💬 Discussion Feed

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