nlweb-data-loading

nlweb-data-loading is a skill for Claude Code from OrcaQubits/agentic-commerce-skills-plugins. It costs 88 tokens per session (1,760 once invoked), scanned A, original, MIT.

A data-loading guide for NLWeb's search index, the store used to find relevant site content for questions. It loads RSS or Atom feeds, Schema.org JSON-LD, sitemap URLs, or CSV files, then prepares and writes the content for vector search.

In plain words
What is it for?
Use it to bootstrap or refresh an NLWeb site's index from feeds, web pages, structured data, or spreadsheets.
Why use it?
It explains how to turn different content sources into searchable data and avoid retrieval failures caused by incompatible embedding settings. It also covers replacing or partitioning loaded site data.

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 bootstrap or refresh an NLWeb site's index from feeds, web pages, structured data, or spreadsheets.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/orcaqubits/agentic-commerce-skills-plugins/nlweb-data-loading
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-data-loading
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-data-loading

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/orcaqubits/agentic-commerce-skills-plugins/nlweb-data-loading"><img src="https://agentmods.dev/badge/skills/orcaqubits/agentic-commerce-skills-plugins/nlweb-data-loading.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,760 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 $0.00088 $0.01760
Opus 5 $0.00044 $0.00880
Sonnet 5 $0.00018 $0.00352
Haiku 4.5 $0.00009 $0.00176

Measured 2d ago against content hash d9042c380fd2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-16, from the pricing page.

Security

Grade A, and why

nlweb-data-loading 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/sites` — your site should appear
nlweb-protocol/skills/nlweb-data-loading/SKILL.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NLWeb Data Loading

Before writing code

Fetch live docs:

  1. Fetch https://github.com/nlweb-ai/NLWeb/blob/main/docs/tools-database-load.md for the canonical db_load.py reference.
  2. Inspect AskAgent/python/data_loading/db_load.py and db_load_utils.py in the live repo for exact CLI flags — they've added flags in recent releases.
  3. Check AskAgent/python/data_loading/rss2schema.py for how RSS items map to Schema.org Article objects.
  4. Confirm the embedding provider used at ingest matches preferred_provider in config_embedding.yaml for the query side — mismatch = silent retrieval failure.
  5. For partner backends, check docs/setup-snowflake.md, docs/setup-cloudflare-autorag.md, etc. for backend-specific ingest steps (some bypass db_load.py).

Conceptual Architecture

What db_load Does

db_load.py is the canonical ingest pipeline. Given a source and a site name, it:

  1. Fetches the source (RSS feed, JSON-LD URL, sitemap-derived URL list, CSV).
  2. Normalizes each item to a Schema.org JSON object (uses rss2schema.py for feeds; passes JSON-LD through; maps CSV columns by convention).
  3. Chunks long text fields (description, body) if needed.
  4. Computes embeddings via the configured embedding provider in config_embedding.yaml.
  5. Writes to the write_endpoint configured in config_retrieval.yaml.
  6. Tags every record with the site value so retrieval can partition.

Supported Source Types

Source Detection Notes
RSS / Atom feed URL ending .rss, .xml, /feed, or content-type Mapped to Article Schema.org type
Schema.org JSON-LD URL returns application/ld+json or HTML with embedded JSON-LD Preserved as-is
Sitemap.xml URL ending sitemap.xml Crawled for child URLs
URL list file --url-list path.txt flag One URL per line; each fetched and parsed for JSON-LD
CSV .csv extension Column-to-Schema.org mapping by convention; see docs

Read the full file on GitHub · 144 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 · 144 lines · 88 tokens per session scan A d9042c380fd2

Subscribe to this mod's changes

nlweb-data-loading is a skill published in the GitHub repository OrcaQubits/agentic-commerce-skills-plugins (39 stars, last pushed 2d ago), licensed MIT. It adds 88 tokens to every session and 1,760 once invoked, about $0.0004 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.

Related

Other skills, from other repositories

archestra-dev-llm-providers

Use when adding an LLM provider, changing proxy adapters or provider routes, fixing streaming/tool-call translation bugs, editing model fetchers or model handling, or touching provider credentials/enums and model constants.

archestra-ai/archestra · 49 tokens

chaingpt

Build with the ChainGPT Web3 AI developer platform. Full API/SDK reference and project scaffolding for: Web3 AI Chatbot & LLM, AI NFT Generator, Smart Contract Generator, Smart Contract Auditor, AI Crypto News, AgenticOS Twitter agents, and Solidity LLM. Use when building blockchain apps, Web3 chatbots, NFT tools…

internet-court/internet-court-skill · 132 tokens

switchboard

Complete Switchboard Oracle Protocol SDK for Solana - the permissionless oracle solution for price feeds, on-demand data, VRF randomness, and real-time streaming via Surge. Covers TypeScript SDK, Rust integration, Oracle Quotes, and all Switchboard tools.

internet-court/internet-court-skill · 54 tokens

0g-compute

0G Compute Network guide for decentralized AI inference, fine-tuning, and GPU services. Covers chatbots, image generation, speech-to-text, SDK integration (0g-serving-broker), processResponse API, broker.inference methods, CLI commands (0g-compute-cli), and account management. Use this skill for any 0G compute, 0G AI…

internet-court/internet-court-skill · 85 tokens

ai-engineering-toolkit

AI Engineering Toolkit workflow skill. Use this skill when the user needs 6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching and the operator…

diegosouzapw/awesome-omni-skills · 81 tokens

ai-ml-v2

AI/ML Workflow Bundle workflow skill. Use this skill when the user needs AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features and the operator should preserve the upstream workflow, copied support files, and provenance…

diegosouzapw/awesome-omni-skills · 67 tokens