Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add dalroot/agentic-seo --skill entity-seogit clone --depth 1 https://github.com/dalroot/agentic-seoWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/dalroot/agentic-seo/entity-seo)<a href="https://agentmods.dev/skills/dalroot/agentic-seo/entity-seo"><img src="https://agentmods.dev/badge/skills/dalroot/agentic-seo/entity-seo/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/dalroot/agentic-seo/entity-seo"><img src="https://agentmods.dev/badge/skills/dalroot/agentic-seo/entity-seo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00075 | $0.01510 |
| Opus 5.5 | $0.00030 | $0.00604 |
| Sonnet 5.5 | $0.00015 | $0.00302 |
| Haiku 4.5 | $0.00007 | $0.00151 |
Grade A, and why
entity-seo scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO: Entity SEO
Guides entity-based SEO—making your brand, product, and authors recognizable as distinct entities in search engines' knowledge systems. Google moved from keyword-matching to meaning-based understanding (Hummingbird, RankBrain, BERT, MUM); entity understanding is central to how search processes queries. Content structured around entities can receive ~3.2× more visibility in AI-powered search. References: Semrush, Search Engine Land.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Scope
- Entity definition: Singular, unique, well-defined things (person, place, organization, product, event)
- Entity vs keyword: Entities = underlying concepts; keywords = text strings
- Knowledge Graph: Google's entity database; powers disambiguation and related concepts
- Implementation: Schema (Organization, Person); entity signals in content; consistency across platforms
What Is an Entity?
An entity is a thing or concept that is singular, unique, well-defined, and distinguishable—e.g. person, place, organization, product, event. Entities have:
| Attribute | Meaning |
|---|---|
| Unique identity | "Apple Inc." ≠ "apple (fruit)" despite same word |
| Attributes | Founding date, location, industry |
| Relationships | Connections to other entities (e.g. Apple Inc. → Steve Jobs, iPhone) |
Entity SEO = optimizing so search engines can identify, categorize, and connect your brand/product/author within the knowledge graph. Keywords are ambiguous; entities maintain consistent meaning across contexts.
Why Entity SEO Matters
- Search evolution: Google uses entities to understand intent, not just match phrases
- Knowledge Graph: Billions of entities and relationships; disambiguation, related concepts
- AI search: Entity-optimized content ~3.2× more visible in AI results
- E-E-A-T: Entity signals support Experience, Expertise, Authoritativeness, Trust. See eeat-signals
- GEO: AI Overviews, Copilot, Perplexity cite entities; clear identity improves citation. See generative-engine-optimization
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- today First seen · 118 lines · 75 tokens per session scan A 784cdcd5e525
entity-seo is a skill published in the GitHub repository dalroot/agentic-seo (25 stars, last pushed 6d ago), licensed MIT. It adds 75 tokens to every session and 1,510 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-26.
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