metabolights-skill
Submit compact MetaboLights requests for study discovery and study-level metabolomics metadata. Use when a user wants concise MetaboLights summaries
72
87%
Does it follow best practices?
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The 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.
Why it was flagged
scripts/rest_request.py performs a runtime HTTP fetch of user-specified paths under base_url (MetaboLights) and then passes the resulting response body/JSON into its own output (e.g., records/summary or text_head), which becomes readable context for the agent/LLM; this is outsider-authored free text coming from a public web API.
- Repository
- openai/plugins
- Commit
11c74d6
- Audited
- Security analysis
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