autogen-maxia-oracle

v0.2.1 suspicious
5.0
Medium Risk

AutoGen tool wrappers for MAXIA Oracle — multi-source price feeds for AI agents. Data feed only.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low immediate risks but lacks maintainer information and community engagement, raising concerns about its origin and maintenance.

  • Sparse maintainer information
  • Lack of community engagement
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package relies on external services.
  • Shell: No shell execution detected, indicating no direct system command risks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of secrets or credentials.
  • Metadata: The maintainer's information is sparse, and the repository lacks community engagement.

📦 Package Quality Overall: Medium (5.0/10)

○ 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://oracle.maxiaworld.app/docs
  • Detailed PyPI description (2490 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 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 14 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 24 commits in maxiaworld/oracleforge
  • Small but multi-author team (3–4 contributors)

🔬 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: maxiaworld.app>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ 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 autogen-maxia-oracle 
Develop a real-time cryptocurrency price tracker using the 'autogen-maxia-oracle' Python package. This application will provide users with the latest price information from multiple sources for various cryptocurrencies. Your task is to create a user-friendly command-line interface (CLI) where users can input the name of a cryptocurrency, and the app will display its current price from MAXIA Oracle's multi-source price feeds.

Step 1: Set up your development environment with Python installed. Ensure you have access to pip for package installation.

Step 2: Install the 'autogen-maxia-oracle' package via pip. Use the package documentation as a reference to understand how to initialize the client and fetch data.

Step 3: Create a Python script that initializes the 'autogen-maxia-oracle' client and sets up a function to retrieve the latest price for a given cryptocurrency. This function should handle errors gracefully and provide meaningful output if the requested currency is not found or there are issues fetching the data.

Step 4: Develop a CLI interface that prompts the user to enter the name of a cryptocurrency (e.g., Bitcoin, Ethereum). Validate the input to ensure it's a valid cryptocurrency supported by MAXIA Oracle.

Step 5: Implement a feature that allows users to track multiple cryptocurrencies simultaneously. Users should be able to add or remove currencies from their watchlist and receive updates for each currency in real-time.

Step 6: Enhance the application by adding support for historical price data retrieval. Allow users to request historical prices for a specific date range and display them in a readable format.

Step 7: Integrate logging capabilities into your application to log important events such as successful price retrievals, user interactions, and any errors encountered during execution.

Step 8: Test your application thoroughly to ensure it works as expected across different scenarios. Pay special attention to edge cases like network failures, invalid user inputs, and handling large volumes of requests efficiently.

Suggested Features:
- Support for displaying price changes over time (percentage change).
- Ability to set up alerts for when a cryptocurrency's price reaches a certain threshold.
- Option to export price data to CSV files for offline analysis.
- Integration with popular cryptocurrencies and tokens listed on major exchanges.

💬 Discussion Feed

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