Submit compact MGnify API requests for microbiome studies, samples, and biome metadata. Use when a user wants concise MGnify summaries
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tessl review fix ./plugins/life-science-research/skills/mgnify-skill/SKILL.mdThe skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Yes—at runtime the skill makes HTTP requests to an external service (`scripts/rest_request.py` reads `base_url`/`path` from stdin, fetches `response.json()`/`response.text`, then returns JSON fields like `records`/`summary` or `text_head` that will be placed into the agent’s LLM context; this is public web content fetched at runtime from a URL/path not authored by the operating user.
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