Audit and fix agent readiness: the Lighthouse Agentic Browsing fraction, accessibility tree for agents, robots.txt and Content-Signal for AI agents, WAF treatment of agent traffic, llms.txt, Markdown delivery, ai-catalog.json, /.well-known discovery files, and WebMCP tools. Use when the user asks whether AI agents can use or browse the site, or about llms.txt or WebMCP. Exclude AI citability and brand signals (seo-geo) and commerce protocol depth (seo-ecommerce).
96%
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Low
Low-risk findings worth noting
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.
The required workflow uses scripts to fetch and analyze external web pages (`lighthouse_agentic.py`, `agentic_check.py`, `agent_ux_check.py`, `render_page.py`) and reads remote files like `robots.txt` and `llms.txt`, exposing the agent to untrusted outsider-authored web content.
AgriciDaniel/claude-seo
6be93f4
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