Find Key Opinion Leaders (KOLs) in a given domain by combining web research with LinkedIn post search. Given a company/idea and target domain, generates authority keywords, searches LinkedIn posts to find prolific authors with high engagement, and merges with web-researched influencers. Use when someone wants to "find influencers in X space" or "who are the KOLs for Y industry."
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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 ingests outsider-authored LinkedIn post text at runtime via the `apimaestro/linkedin-posts-search-scraper-no-cookies` actor run and `apify_dataset()` fetching `dataset/items` where it reads `item.get("text", ...)` / `item.get("content", ...)` for scoring/exclusion.
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's runtime invokes Apify actors and fetches their run dataset via the proxy/base URL https://api.gooseworks.ai (and falls back to https://api.apify.com/v2/actor-runs/{run_id}/dataset/items?token={token}&limit={limit}), which executes remote scraping actors and returns required data the script depends on at runtime.
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