Find and evaluate influencers for brand partnerships, verify authenticity, and track collaboration performance across Instagram, Facebook, YouTube, and TikTok.
77
66%
Does it follow best practices?
Impact
99%
6.60xAverage score across 3 eval scenarios
Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./skills/apify-influencer-discovery/SKILL.mdThe 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 skill runs Apify actors to scrape public social platforms (see SKILL.md Steps 1 and 4) and then downloads and displays dataset items via the Apify API (run_actor.js: downloadResults and displayQuickAnswer fetch from https://api.apify.com/v2/datasets/{datasetId}/items), so it ingests untrusted user-generated content (posts/comments) and uses that content to summarize and drive decisions.
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 calls the Apify API at runtime (e.g., https://api.apify.com/v2/acts/{actorId}/runs?token=...) to start Apify actors, which causes execution of remote actor code that the skill depends on, so this is a runtime external dependency that executes remote code.
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