nlweb-schema-org-grounding

nlweb-schema-org-grounding is a skill for Claude Code from OrcaQubits/agentic-commerce-skills-plugins. It costs 102 tokens per session (2,055 once invoked), scanned A, original, MIT.

A guide to marking website content with Schema.org JSON-LD, a standard format for describing things such as products, recipes, events, and articles. NLWeb uses these descriptions to identify content types and handle questions about them.

In plain words
What is it for?
Use it to add JSON-LD to pages, register supported content types, prepare data for ingestion, and check the markup with a validator.
Why use it?
It helps NLWeb understand the structure and meaning of site content instead of treating every page as unstructured text.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the nlweb-protocol plugin — 13 skills, 1 agent shipped together

Good fit Use it to add JSON-LD to pages, register supported content types, prepare data for ingestion, and check the markup with a validator.

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Install with agentmods
npx agentmods add skills/orcaqubits/agentic-commerce-skills-plugins/nlweb-schema-org-grounding
Install

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.

Any agent
npx skills add OrcaQubits/agentic-commerce-skills-plugins --skill nlweb-schema-org-grounding
Clone the repo
git clone --depth 1 https://github.com/OrcaQubits/agentic-commerce-skills-plugins

Made for: Claude Code.

Or install nlweb-protocol, the plugin that ships this one along with the rest of its 13 skills, 1 agent.

Wrote 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.

agentmods badge for nlweb-schema-org-grounding

README.md
[![agentmods](https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/nlweb-schema-org-grounding/github.svg)](https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/nlweb-schema-org-grounding)
Your own site
<a href="https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/nlweb-schema-org-grounding"><img src="https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/nlweb-schema-org-grounding/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.

agentmods 80×15 button for nlweb-schema-org-grounding

Your own site · 80×15
<a href="https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/nlweb-schema-org-grounding"><img src="https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/nlweb-schema-org-grounding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,055 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00102 $0.02055
Opus 5 $0.00051 $0.01027
Sonnet 5 $0.00020 $0.00411
Haiku 4.5 $0.00010 $0.00205

Measured 2d ago against content hash 43ab7af48b1c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-16, from the pricing page.

Security

Grade A, and why

nlweb-schema-org-grounding scanned grade A with 1 finding 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 2d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl 'http://localhost:8000/ask?query=quick+dinners&site=recipes&streaming=false&mode=list' | jq '.results[0].schema_object'
nlweb-protocol/skills/nlweb-schema-org-grounding/SKILL.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NLWeb Schema.org Grounding

Config layout changed upstream. NLWeb replaced the single site_types.xml with two files in config/: sites.xml (site name → itemType list + description) and tools.xml (per-site / per-type tool definitions, prompts and examples, scoped by <Site id="…"> / <Item> blocks). Older guidance — including any site_type / extends inheritance syntax — describes the retired file. Fetch config/sites.xml and config/tools.xml from the live repo before editing anything.

Before writing code

Fetch live references:

  1. Fetch https://schema.org/ for the canonical Schema.org vocabulary.
  2. Fetch https://github.com/nlweb-ai/NLWeb/blob/main/config/sites.xml in the live repo for the exact list of supported Schema.org types and the tool inheritance tree per type.
  3. Fetch https://github.com/nlweb-ai/NLWeb/blob/main/docs/nlweb-prompts.md for how per-type prompts and <returnStruc> shapes work.
  4. Web-search schema.org JSON-LD validator — Google's Rich Results Test is a quick way to validate before ingest.
  5. Check AskAgent/python/methods/recipe_substitution.py, accompaniment.py, compare_items.py for examples of how type-specific tools consume the schema_object.

Conceptual Architecture

Why Schema.org Matters to NLWeb

NLWeb's defining design choice: results carry their full Schema.org object back to the agent. Unlike a generic RAG system that returns text chunks, NLWeb returns structured JSON-LD — so an agent receiving a Recipe result gets ingredients, cookTime, nutrition, recipeYield, not just a paragraph of text. This is what makes NLWeb results agent-actionable.

R.V. Guha (NLWeb's author) co-created Schema.org for exactly this reason — the data was already structured; NLWeb finally exposes it to agents.

Schema.org Types NLWeb Knows About

tools.xml enumerates the types with per-type tool / prompt overrides. Common types (verify the live file):

Type Use Case Type-Specific Tools
Recipe Cooking sites recipe_substitution, accompaniment
Product E-commerce compare_items, item_details
Movie / TVSeries Streaming/reviews compare_items
Event Calendars, ticketing item_details
Article / NewsArticle / BlogPosting News, blogs summarize-mode default
RealEstate / Apartment / House Listings item_details, compare
Course EdTech item_details
Restaurant / LocalBusiness Maps, directories accompaniment, item_details
Book Catalogs compare, item_details
Person / Organization Profiles item_details

Read the full file on GitHub · 167 lines

Changes

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.

  1. 2d ago First seen · 167 lines · 102 tokens per session scan A 43ab7af48b1c

Subscribe to this mod's changes

nlweb-schema-org-grounding is a skill published in the GitHub repository OrcaQubits/agentic-commerce-skills-plugins (39 stars, last pushed 2d ago), licensed MIT. It adds 102 tokens to every session and 2,055 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-15.

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