Agent: Sensitive Data Extraction

October 30, 2025 ยท View on GitHub

Description

This agent leverages a Large Language Model (LLM) to autonomously explore and analyze file systems for sensitive data. It is designed to navigate through a given path, read the contents of various files, and identify information such as passwords, API keys, personal identifiable information (PII), and other confidential data. A key feature of this agent is ability to operate on a wide variety of storage systems, including local directories, cloud storage like AWS S3 and Google Cloud Storage, and even remote sources like GitHub repositories (via fsspec).

Environment

The environment is simply a filesystem. The Agent must have the necessary credentials to access the target path specified by the user (e.g., AWS credentials configured for S3 access, or a GitHub token for private repositories).

Tools

  • fsspec: The underlying library that provides a unified Pythonic interface to various local and remote file systems. This is what enables the agent's versatility in accessing different storage backends like s3://, gs://, and github://.

References

Examples

uv run main.py --model "" --path ""