GEO Content Optimizer for AI Search

v7.2.0

GEO content optimizer for AI search: optimize content for citations in ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude with structured authority...

7· 2k·7 current·7 all-time
byAaron Zhu@aaron-he-zhu
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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Benign
high confidence
Purpose & Capability
Name/description (GEO/AI citation optimization) matches the SKILL.md and reference docs: all included instructions focus on rewriting, structuring, scoring, and adding citations/FAQ schema for content. There are no unrelated binaries, credentials, or external services required.
Instruction Scope
The SKILL.md instructs the agent to read brief/keywords and 'CLAUDE.md' and a shared State Model when available, and to write outputs intended for memory/content/ and memory/decisions.md. This is coherent for a content authoring/handoff skill, but it does explicitly read and write repository/memory files — so users should be aware the skill expects access to skill-local state and any shared memory the agent exposes.
Install Mechanism
No install spec and no code files to execute; instruction‑only skills have minimal disk/exec footprint. No downloads, package managers, or extract steps are present.
Credentials
The skill requires no environment variables, credentials, or config paths. The declared inputs/outputs are content and local memory files — proportional to the stated content optimization purpose.
Persistence & Privilege
always:false (not force-included) and normal autonomous invocation permitted. The skill does not request system-wide config changes or access to other skills' credentials. Writing to its own memory/content paths is expected behavior for handoff assets.
Assessment
This skill is instruction-only and appears internally consistent with its goal of optimizing content to be cited by AI systems. It does not ask for credentials or install code, but it expects access to the content you provide and to skill-local memory/files (e.g., CLAUDE.md, memory/content/). Before using it: (1) review the linked GitHub repo if you want provenance assurance, (2) avoid submitting secrets or sensitive private content for optimization, and (3) if you prefer to prevent autonomous runs, disable model invocation for the skill in your agent settings.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

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