stockbee-20pct-study
Build and maintain a Stockbee-style daily 20% mover study for US equities by scanning +20%/-20% movers, classifying catalysts and setup context, updating forward outcomes, and summarizing cohort patterns. Use when the user asks to run a daily 20% study, backfill historical 20% movers, find recurring edge patterns, or build a model book of explosive market moves.
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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
Yes: the required runtime “enrich” step ingests outsider-authored free text from an external `--news-json` file (and/or live FMP-derived universe) into `text` via `load_news_events()` → `enrich_events_with_news()` (it concatenates fields like `title/headline/summary/text/description` and stores it in `updated["catalyst"]["summary"]`), which would then be available for any downstream LLM context building using these fields.
- Repository
- tradermonty/claude-trading-skills
- Commit
62a1635
- Audited
- Security analysis
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