Install
$ agentstack add skill-seoskillsai-seo-skills-ai-seo-geo ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Generative Engine Optimization (GEO) Standard
Aligned with Google's AI Optimization Guide and LLM retrieval mechanics.
🔍 Core GEO Optimization Vectors
- Passage Citability Scoring:
- LLMs extract self-contained answer passages (optimal 130–170 words).
- Each H2/H3 section must open with an authoritative summary paragraph directly answering the subsection's query.
- Entity Grounding & Triples:
- Link entities explicitly to authoritative sources (
sameAsschema links to Wikipedia, Wikidata, GitHub).
- Multi-Source Brand Consensus:
- Maintain consistent NAP and entity facts across web sources (Reddit, YouTube, LinkedIn, GitHub).
- Primary-Source Evidence:
- Include unique empirical data, original benchmarks, and reproducible metrics to serve as citation bait for AI synthesizers.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: seoskillsai
- Source: seoskillsai/seo-skills-ai
- License: MIT
- Homepage: https://seoskillsai.com
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.