Event-driven strategy based on sentiment-scored signals from news, announcements, and macro events. The LLM acts as the NLP engine, and event data follows a CSV schema.
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Low-risk findings worth noting
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tessl review fix ./agent/src/skills/event-driven/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.
SKILL.md’s required runtime workflow step “Data collection” uses the `read_url` tool to fetch full text of news/announcements, which is public web content authored by outsiders and then ingested as `{news_content}` into the LLM scoring prompt template for event sentiment scoring.
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