Check a user's latest X/Twitter bookmarks and turn recent saved posts into source-backed quote-post drafts calibrated against the user's latest 100 authored posts. Use when asked to review X bookmarks, create quote posts from bookmarks, refresh a bookmark quote queue, run a bookmark quote automation, study a user's X voice, or write first-person quote posts from X sources.
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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 instructs the agent to use the in-app browser to “Collect…posted text” from a user’s X bookmarks (including opening status URLs for truncated posts/articles), so the LLM context will include outsider-authored free text scraped from X at runtime.
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 instructs the agent to open and scrape X pages at runtime (e.g., https://x.com/i/bookmarks and https://x.com/<handle>), and uses the fetched posts as the primary voice corpus injected into the model context to generate drafts, so external content directly controls the agent's outputs.
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