Generate falsifiable trade strategy hypotheses from market data, trade logs, and journal snippets. Use when you have a structured input bundle and want ranked hypothesis cards with experiment designs, kill criteria, and optional strategy.yaml export compatible with edge-finder-candidate/v1.
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tessl review fix ./skills/trade-hypothesis-ideator/SKILL.mdLow
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.
The required workflow passes user-supplied “input JSON bundle” evidence into the agent prompt via `evidence_summary` → `format_evidence_for_prompt()` → `developer_prompt_template.md` (`{{evidence_summary}}`), so if that JSON contains outsider-authored free text (e.g., journal snippets from others), it will be read as LLM-readable prose at runtime.
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