alphaear-sentiment
Analyze finance text sentiment using FinBERT or LLM. Use when the user needs to determine the sentiment (positive/negative/neutral) and score of financial text markets.
60
70%
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Low
Low-risk findings worth noting
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tessl review fix ./skills/alphaear-sentiment/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
SKILL.md’s required workflow delegates LLM sentiment analysis to an Agent using the prompt variable `{text}`, and at runtime that `text` can originate from `daily_news.content`/`title` stored in `DatabaseManager` via external “news” data ingestion (which is then read by `SentimentTools.batch_update_news_sentiment` through `get_daily_news` and used for analysis).
- Repository
- RKiding/Awesome-finance-skills
- Commit
853f09b
- Audited
- Security analysis
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