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apify-trend-analysis

Discover and track emerging trends across Google Trends, Instagram, Facebook, YouTube, and TikTok to inform content strategy.

52

Quality

57%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/apify-trend-analysis/SKILL.md
SKILL.md
Quality
Evals
Security

Low

Low-risk findings.

2 low severity findings. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

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.

Why it was flagged

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).

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Low

W012: Unverifiable external dependency detected (runtime URL that controls agent).

What this means

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.

Why it was flagged

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.

Repository
sickn33/antigravity-awesome-skills
Audited
Security analysis
Snyk

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