Read the latest news feed results (server/data/news-results-*.json), cluster items by topic, and generate grounded research idea seeds with citations. Use when the user wants to turn their daily news into actionable ideation proposals, or when invoked by the proactive research scout (Option C).
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
In Step 1, `scripts/cluster_and_seed.py` reads `server/data/news-results-*.json` (via `--news-data-dir`) and places each item’s free-text fields like `title` and `abstract` into `candidates.json`, which the LLM then uses in Step 3–4 for cluster refinement and grounded seed generation.
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