Submit compact ChEMBL API requests for activity, molecule, target, mechanism, and text-search endpoints. Use when a user wants concise ChEMBL summaries
85%
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Low
Low-risk findings worth noting
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.
High: at runtime the skill calls the configured external ChEMBL API (`base_url` in SKILL.md) and ingests the returned JSON/text fields into the tool result (`out.records` / `out.summary` via `response.json()` and `_compact`, and `response.text[:800]` for text), which the agent can then include in its LLM context; since API content is outsider-authored web data, it’s an indirect prompt-injection vector.
openai/plugins
d420d13
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