ad-to-landing-page-auditor
Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.
59
68%
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Low
Low-risk findings worth noting
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tessl review fix ./skills/ads/composites/ad-to-landing-page-auditor/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
In Phase 2 “Landing Page Audit”, the required workflow ingests outsider-provided landing page URLs from the user’s intake and fetches/extracts the resulting page content via `fetch_webpage` or `curl` for LLM scoring.
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 fetches arbitrary landing page content at runtime via "fetch_webpage: [landing_page_url]" (with a curl fallback), which injects remote HTML into the model's analysis context and therefore could be used for prompt injection or to control the agent's outputs (flagging [landing_page_url]).
- Repository
- gooseworks-ai/goose-skills
- Commit
8866b2a
- Audited
- Security analysis
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