Discover and track emerging trends across Google Trends, Instagram, Facebook, YouTube, and TikTok to inform content strategy.
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Low
Low-risk findings worth noting
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tessl review fix ./skills/apify-trend-analysis/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 workflow first fetches an Apify Actor README/description and schema from mcp.apify.com (Step 2), then runs the selected actor and ingests dataset item text returned by the Apify actor run for display/export (run_actor.js: downloadResults/displayQuickAnswer).
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 makes runtime calls to Apify endpoints (e.g., https://api.apify.com/v2/acts/${apiActorId}/runs?token=${encodeURIComponent(token)} and uses mcpc against mcp.apify.com) which start and poll Apify actor runs (i.e., execute remote actor code) and fetch actor schemas required for the skill to operate.
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