Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.
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Low
Low-risk findings worth noting
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tessl review fix ./skills/apify-market-research/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.
In `reference/scripts/run_actor.js`, the workflow ingests outsider-authored free text via the `--input` JSON (user-provided search strings/queries) and then posts it to `https://api.apify.com/v2/acts/.../runs`, after which it downloads and displays the actor results items (also free text) from `https://api.apify.com/v2/datasets/${datasetId}/items` either to an output file or to chat.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill performs runtime calls that start and control remote Apify actors (which execute remote code) via the Apify API (e.g., https://api.apify.com/v2/acts/${apiActorId}/runs?token=${encodeURIComponent(token)}) and also fetches actor schemas at runtime from mcp.apify.com which can control prompts/inputs.
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