product-spec-bulk-fetch

product-spec-bulk-fetch is a skill for Claude Code from AlpacaLabsLLC/skills-for-architects. It costs 36 tokens per session (1,485 once invoked), scanned A, original, MIT.

A bulk extractor for FF&E (furniture, fixtures and equipment) details from product-page URLs, arranged in a standard schedule.

In plain words
What is it for?
Use it to collect product specifications from pasted URLs or a text, CSV, Markdown, or project-library file for design specifications, purchasing, or import into Norma.
Why use it?
It removes the need to copy product information manually from many web pages. It does not process PDF catalogues.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool; mentions Claude Code; mentions Codex.

Part of the as plugin — 46 skills, 7 agents, 3 hooks shipped together

Good fit Use it to collect product specifications from pasted URLs or a text, CSV, Markdown, or project-library file for design specifications, purchasing, or import into Norma.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alpacalabsllc/skills-for-architects/product-spec-bulk-fetch
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 AlpacaLabsLLC/skills-for-architects --skill product-spec-bulk-fetch
Clone the repo
git clone --depth 1 https://github.com/AlpacaLabsLLC/skills-for-architects

Made for: Claude Code.

Or install as, the plugin that ships this one along with the rest of its 46 skills, 7 agents, 3 hooks.

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 product-spec-bulk-fetch

README.md
[![agentmods](https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/product-spec-bulk-fetch/github.svg)](https://agentmods.dev/skills/alpacalabsllc/skills-for-architects/product-spec-bulk-fetch)
Your own site
<a href="https://agentmods.dev/skills/alpacalabsllc/skills-for-architects/product-spec-bulk-fetch"><img src="https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/product-spec-bulk-fetch/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 product-spec-bulk-fetch

Your own site · 80×15
<a href="https://agentmods.dev/skills/alpacalabsllc/skills-for-architects/product-spec-bulk-fetch"><img src="https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/product-spec-bulk-fetch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,485 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00036 $0.01485
Opus 5 $0.00018 $0.00743
Sonnet 5 $0.00007 $0.00297
Haiku 4.5 $0.00004 $0.00148

Measured 13d ago against content hash 728c67318a48, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

product-spec-bulk-fetch 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 13d 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.

skills/product-spec-bulk-fetch/SKILL.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/as:product-spec-bulk-fetch — Bulk Product Spec Fetcher

Harness note: use /as:<skill> on Claude Code and $<skill> on Codex. Resolve <skill-root> as the directory containing this loaded SKILL.md and <plugin-root> as the plugin root that contains skills/, and use equivalent native tools when host tool names differ.

Extract structured FF&E data from a list of product page URLs. Outputs a standardized schedule ready for design specs, procurement, or import into Norma.

Input

The user provides product URLs in one of these ways:

  1. Inline list — URLs pasted directly in the message (one per line, or comma-separated)
  2. File path — A .txt, .csv, or .md file containing URLs (one per line)
  3. Project library — URLs from the named Link field in product-library.csv

If the input format is unclear, ask.

Output Schema

Persistent results use the nearest project-root product-library.csv. Read ../../schema/product-schema.md for the exact 33-column contract and ../../schema/csv-conventions.md for safe local-file behavior.

Skill-specific column values:

  • AF (Status): saved
  • AG (Source): bulk-fetch
  • AD (Tags): Blank (set by user later)
  • AE (Notes): Blank
  • T (Selected Color/Finish): Blank (unknown from URL)

Extraction Process

For each URL:

  1. Fetch the page using WebFetch with the prompt below
  2. Parse the response into the schema fields
  3. Flag issues — missing price, missing dimensions, non-product page
  4. Continue to next URL — never stop the batch on a single failure

WebFetch Extraction Prompt

Use this prompt (or close variant) for each URL:

Extract structured product/furniture specification data from this page. Return a JSON object with these exact fields:

- product_name: Full product name (Title Case)
- description: Short description or tagline (1-2 sentences), or null
- sku: Product ID, SKU, model number, or catalog number, or null
- brand: Manufacturer name (Title Case)
- designer: Designer or design studio name if attributed, or null
- vendor: The retailer/website selling the product (may differ from brand), or null
- collection: Product line or collection name, or null
- category: One of: Chair, Table, Sofa, Bed, Light, Storage, Desk, Shelving, Rug, Mirror, Accessory, Tabletop, Kitchen, Bath, Window, Door, Outdoor Furniture, Textile, Acoustic, Planter, Partition, Other
- width: Numeric width value only (no units), or null
- depth: Numeric depth value only (no units), or null
- height: Numeric height value only (no units), or null
- seat_height: Numeric seat height for seating products, or null
- unit: "in", "cm", or "mm" — whichever the page uses
- weight: Weight as stated with unit (e.g. "45 lbs"), or null
- materials: Comma-separated list of primary materials
- colors_finishes: Comma-separated list of ALL available colors or finish options
- list_price: Numeric price (no currency symbol, no commas), or null
- sale_price: Discounted/sale price if shown, or null
- currency: "USD", "EUR", "GBP", etc.
- lead_time: Delivery estimate as stated, or null
- warranty: Warranty info as stated, or null
- certifications: Comma-separated certifications (GREENGUARD, FSC, BIFMA, etc.), or null
- com_col: "COM", "COL", "COM/COL" if mentioned, or null
- indoor_outdoor: "Indoor", "Outdoor", or "Indoor/Outdoor" if specified, or null
- image_url: URL of the primary product image (largest/hero image)

If this is NOT a product page, return: {"error": "not_a_product_page"}
If dimensions use a combined format like "32 x 24 x 30 in", split them into W x D x H.
If price says "Contact for pricing" or similar, set price to null.
Return ONLY the JSON object, no other text.

Read the full file on GitHub · 134 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 13d ago First seen · 134 lines · 36 tokens per session scan A 728c67318a48

Subscribe to this mod's changes

product-spec-bulk-fetch is a skill published in the GitHub repository AlpacaLabsLLC/skills-for-architects (353 stars, last pushed 9d ago), licensed MIT. It adds 36 tokens to every session and 1,485 once invoked, about $0.0002 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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