LLM SEO
v1.0.0Strategy to get recommended by ChatGPT, Claude, Perplexity, and Gemini. Use when someone wants help with LLM SEO, AI search optimization, AEO, or GEO.
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byDaniel Yu@c0ldsmi1e
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (LLM SEO) match the SKILL.md content. The skill only needs to ask discovery questions and produce a strategy; there are no declared env vars, binaries, or install steps that would be unrelated to providing SEO advice.
Instruction Scope
Runtime instructions are limited to asking discovery questions and producing audits, content/technical recommendations, and an action plan. The instructions do not ask the agent to read local files, access credentials, or transmit data to third-party endpoints beyond linking to public resources.
Install Mechanism
No install spec and no code files — instruction-only. This minimizes on-disk code execution and is appropriate for an advisory skill.
Credentials
The skill declares no environment variables, credentials, or config paths. Nothing requested appears disproportionate to generating an SEO strategy.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent presence or elevated privileges. Autonomous invocation is allowed by platform default but is not elevated here.
Assessment
This skill is coherent and low-risk because it only contains advice and asks no credentials or local access. Before using: (1) avoid pasting proprietary secrets, private credentials, or unreleased internal documents into the chat; (2) validate any external resources or claims the skill cites before acting on them; and (3) if you need hands-on implementation (site changes, schema, or llms.txt edits), perform those steps yourself or with trusted staff — the skill is advisory only. If you want higher assurance, ask the publisher for provenance or a homepage before wide deployment.Like a lobster shell, security has layers — review code before you run it.
latestvk976jv2jhn68s5v6d4f5s8sten83aas8
License
MIT-0
Free to use, modify, and redistribute. No attribution required.