Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Hainrixz/claude-seo-ai/plugin install claude-seo-aiWrote 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/hainrixz/claude-seo-ai/seo-entity-linking)<a href="https://agentmods.dev/skills/hainrixz/claude-seo-ai/seo-entity-linking"><img src="https://agentmods.dev/badge/skills/hainrixz/claude-seo-ai/seo-entity-linking/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/hainrixz/claude-seo-ai/seo-entity-linking"><img src="https://agentmods.dev/badge/skills/hainrixz/claude-seo-ai/seo-entity-linking.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 | $0.00088 | $0.01319 |
| Opus 5 | $0.00044 | $0.00660 |
| Sonnet 5 | $0.00018 | $0.00264 |
| Haiku 4.5 | $0.00009 | $0.00132 |
Grade A, and why
seo-entity-linking scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seo-entity-linking (M6)
Entity linkage tells search engines and AI systems which real-world thing a page is about and ties it to the Knowledge Graph. Reference: references/schema-tier1.md (the sameAs/@id/Person+Organization rules). This module owns the sameAs detail M5 defers here.
Inputs
Work from the PageSnapshot named in your dispatch envelope: read parsed from <run_dir>/pages/<slug>.json (jsonld[], anchors[]); Grep pages/<slug>.html for verbatim evidence; site artifacts live in <run_dir>/site/{robots.json,sitemaps.json,discovery.json}. Deterministic findings already emitted by audit.mjs are listed in <run_dir>/findings.deterministic.json — do not re-emit those ids; add model-judged findings only. If invoked directly with a URL/path and no snapshot exists, first run node "${CLAUDE_PLUGIN_ROOT}/scripts/snapshot.mjs" <target> --out "${CLAUDE_PLUGIN_DATA}/runs" and use the printed snapshot path.
Audits
Working from the PageSnapshot (parsed_rendered when render.used is not none, else parsed):
- sameAs identity links: for
Organization/Personentities, check forsameAs[]resolving to canonical identities — Wikidata QID, Wikipedia, LinkedIn, Crunchbase, official social/company profiles. Wikidata is the strongest Knowledge Graph target. - Primary entity defined: confirm exactly one clear primary entity per page (via
@id+mainEntity/mainEntityOfPage), not an ambiguous or missing subject. - Entity consistency (local): for
LocalBusiness, verify NAP (name, address, telephone) in schema matches visible on-page NAP and is internally consistent across blocks. - Entity density: count distinct linked/marked entities (
@idd nodes,sameAstargets,about/mentions) — flag thin pages with no resolvable entity references.
Fixes
- AUTO (
fixable: auto): inject asameAs[]array onOrganization/Personusing only user-confirmed URLs, and addabout/mentionsentity references to existing schema. Additive, deterministic diffs forfix. Never invent identity links — if a URL is unconfirmed, leave a clearly-markedTODOplaceholder the user fills. - PROPOSED (
fixable: proposed): a candidate Wikidata/LinkedIn match found by lookup — drafted for per-item human accept, never auto-written. - ADVISORY (
fixable: advisory): "establish a Wikidata entity / claim profiles" when none exist — guidance only, the tool writes nothing.
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.
- 4d ago Changed · +3 lines c41b37a564e7
- 6d ago Changed · +3 lines 70a5d9955a93
- 12d ago First seen · 38 lines · 88 tokens per session scan A 05acf1bd3dc3
seo-entity-linking is a skill published in the GitHub repository Hainrixz/claude-seo-ai (59 stars, last pushed 5d ago), licensed MIT. It adds 88 tokens to every session and 1,319 once invoked, about $0.0004 per session on Opus 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 2026-08-30.
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