Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
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Low
Low-risk findings worth noting
Low
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 workflow (“summarize” a user-supplied URL/YouTube link with extraction like Firecrawl/Fallback) implies runtime fetching/parsing of outsider web/video text into the agent LLM context, which is indirect prompt-injection exposure via public web content extraction.
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 explicitly fetches arbitrary webpages/YouTube links at runtime (e.g., "https://example.com" and "https://youtu.be/dQw4w9WgXcQ") to inject that remote content into the model input for summarization, so fetched content can directly control prompts.
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