alphaear-signal-tracker
Track finance investment signal evolution and update logic based on new finance market information. Use when monitoring finance signals and determining if they are strengthened, weakened, or falsified.
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Low
Low-risk findings worth noting
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Low-risk findings.
2 low severity findings. 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 AlphaEar Signal Tracker’s required runtime workflow (“Research”/“Analyze”/“Track”) ingests outsider-authored free text via the news research path where the agent uses `news_toolkit.fetch_hot_news` and optionally `news_toolkit.fetch_news_content` (Jina Reader extracts webpage text) to build the `{signal_text}`/`{new_research_str}` context for FinResearcher and FinAnalyst.
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
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.
Why it was flagged
The skill makes runtime HTTP requests to external services that fetch and inject third-party content into LLM contexts—specifically the Jina Reader proxy (https://r.jina.ai/) and the NewsNow API (https://newsnow.busiyi.world) which are used at runtime to retrieve article content that will be placed into prompts and thus can directly control agent outputs.
- Repository
- RKiding/Awesome-finance-skills
- Commit
853f09b
- Audited
- Security analysis
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