Scrape reviews, ratings, and brand mentions from multiple platforms using Apify Actors.
57
66%
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Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/apify-brand-reputation-monitoring/SKILL.mdThe canonical home for this skill is apify-brand-reputation-monitoring in sickn33/antigravity-awesome-skills
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.
At runtime, the workflow runs `reference/scripts/run_actor.js` which fetches and ingests Apify dataset items (scraped reviews/comments) and then displays “TOP 5 RESULTS” in chat or writes CSV/JSON, so outsider-authored free text can be consumed as actor outputs without selecting a specific item first.
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 runs Apify Actors at runtime via API calls (e.g., POST to https://api.apify.com/v2/acts/${apiActorId}/runs?token=${encodeURIComponent(token}) and dataset/item fetches at https://api.apify.com/v2/datasets/${datasetId}/items?token=${encodeURIComponent(token)}&format=json) and also instructs using mcpc against mcp.apify.com to fetch actor schemas—these external endpoints are invoked at runtime and cause remote code (Apify actors) to execute, which the skill depends on.
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