social-media-intelligence
Social media intelligence: financial signal extraction from Twitter/X, Telegram, Discord, and Reddit for sentiment-driven trading strategies.
51
57%
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Low
Low-risk findings worth noting
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tessl review fix ./agent/src/skills/social-media-intelligence/SKILL.mdLow
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
The skill explicitly supports LLM-based sentiment scoring by taking fetched social-platform post/message free text (e.g., tweet `text`, Telegram `msg.text`, Discord `msg.content`, Reddit `title`/`selftext`) and embedding it into an LLM prompt at runtime via `llm_sentiment()` → `get_llm().invoke(prompt)`, which is classic outsider content (third-party authored social posts/comments).
- Repository
- HKUDS/Vibe-Trading
- Commit
8643fcd
- Audited
- Security analysis
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