🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risk due to potential code obfuscation that could conceal malicious activities. However, there are no direct indications of harmful behavior or credential theft.

Obfuscation risk at 6/10 suggests hidden functionality or intentions.
Low package activity and poor metadata quality raise concerns about its origin and maintenance.

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution patterns detected, indicating the package likely does not execute external commands.
Obfuscation: The observed pattern is indicative of obfuscation which may hide the actual functionality and intentions of the code.
Credentials: No clear evidence of credential harvesting patterns was detected.
Metadata: The package shows low activity and poor metadata quality, but lacks clear signs of malicious intent.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

None: pkg: Any = __import__(pkg_name) return pkg.__dict__[method_name]() retu

✓ 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: anentropic.com>

✓ 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 "Anentropic" 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 adbc-poolhouse

Your task is to develop a mini-application named 'DataFetchMaster' using Python and the 'adbc-poolhouse' package. This application will serve as a powerful tool for fetching data from various databases using ADBC drivers, leveraging connection pooling to optimize performance and resource management.

Step 1: Set up your development environment by installing Python and the necessary libraries including 'adbc-poolhouse'. Ensure you have access to at least one database that supports ADBC drivers.

Step 2: Design the application architecture. Your main goal is to create a command-line interface (CLI) that allows users to specify a database configuration file and a SQL query to execute against the database. The configuration file should contain all the necessary details to establish a connection to the database, such as hostname, port, username, password, etc.

Step 3: Implement the connection pooling mechanism using 'adbc-poolhouse'. This will involve creating a pool of database connections based on the provided configuration. The pool should be able to handle multiple concurrent queries efficiently by reusing existing connections instead of opening new ones for each request.

Step 4: Develop the CLI functionality to read the configuration file, parse the SQL query, and pass these to the connection pool for execution. The application should support basic error handling and provide feedback to the user regarding the success or failure of their query execution.

Suggested Features:
- Support for multiple database types through different ADBC driver configurations.
- Command-line options for specifying the configuration file path and SQL query.
- Output the results of the SQL query in a human-readable format (e.g., CSV).
- Logging capabilities to record important events and errors during execution.
- Option to limit the number of connections in the pool to manage resource usage.

Your final deliverable should include a well-documented codebase, clear instructions on how to run the application, and examples of how to configure it for different databases. Make sure to showcase the benefits of using 'adbc-poolhouse' for connection pooling in your documentation.