The Agent Skills Directory

[Network Operations]: The skill is configured to interact with https://www.ebi.ac.uk/metagenomics/api/v1. It uses the requests library to fetch scientific data about microbiome studies, samples, and biomes.
[File System Interaction]: The helper script scripts/rest_request.py includes functionality to save raw API responses to the local disk via the save_raw and raw_output_path parameters. This allows the agent to store data locally for subsequent processing, which is a common pattern for data-intensive tasks.
[Generic Tool Capabilities]: The provided Python script is designed as a compact, generic REST client. It supports various HTTP methods (GET/POST) and allows for the customization of headers and bodies, providing the agent with flexible integration capabilities for the MGnify service.
[Data Sanitization]: The script includes input validation logic to ensure that parameters such as URLs, timeouts, and file paths conform to expected formats before execution.

mgnify-skill