apify-audience-analysis
Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok.
64
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Low
Low-risk findings worth noting
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tessl review fix ./skills/apify-audience-analysis/SKILL.mdLow
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
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 runtime path `run_actor.js` accepts only user-provided JSON input for starting an Apify Actor, then it downloads structured dataset items/results from Apify APIs (`/v2/datasets/${datasetId}/items`) and prints/saves those values, so outsider-authored free text can be ingested from dataset items coming from the actor’s monitored external sources (e.g., comments or profile text) without selecting a specific item first.
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Why it was flagged
The skill issues runtime calls to Apify endpoints (e.g., https://api.apify.com/v2/acts/${apiActorId}/runs?token=${encodeURIComponent(token)}) and to mcp.apify.com to fetch Actor schemas and to start actors, which executes remote actor code and provides schema data that controls inputs/prompts.
- Repository
- sickn33/antigravity-awesome-skills
- Commit
07da495
- Audited
- Security analysis
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