Schema.org structured data audit and generation optimized for AI discoverability — detect, validate, and generate JSON-LD markup
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Low
Low-risk findings worth noting
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tessl review fix ./skills/geo-schema/SKILL.mdLow
Low-risk findings.
1 low severity finding. 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.
Step 1 fetches a target page at runtime (public web page HTML via `fetch_page.py <url>`), parses attacker-controlled JSON-LD/microdata/RDFa from that outsider-authored content, and then the workflow uses it in the agent’s LLM-driven report/generation.
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