Perform finance web searches and local context searches. Use when the user needs general finance info from the web (Jina/DDG/Baidu) or needs to retrieve finance information from a local document store (RAG).
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Low
Low-risk findings worth noting
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tessl review fix ./skills/alphaear-search/SKILL.mdLow
Low-risk findings.
2 low severity findings. 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 runtime workflow for web search/enrichment in `SearchTools.search_list` (optionally via Jina) fetches outsider-authored web page content/snippets (e.g., Jina Reader output in `ContentExtractor.extract_with_jina`, and search result bodies in `JinaSearchEngine.search` / `DuckDuckGoTools` / `BaiduSearchTools`), and then passes that readable text into an LLM call during `SentimentTools.analyze_sentiment_llm` when `SENTIMENT_MODE` selects `llm/auto` fallback; this is indirect prompt-injection exposure because untrusted page text is embedded into the LLM prompt.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill fetches remote web content at runtime from the Jina endpoints (https://r.jina.ai/ and https://s.jina.ai/) and injects that fetched content into model prompts (e.g., enrichment + LLM sentiment prompts), so external content can directly influence agent behavior.
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