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 AlpacaLabsLLC/skills-for-architects --skill product-spec-bulk-fetchgit clone --depth 1 https://github.com/AlpacaLabsLLC/skills-for-architectsWrote 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/alpacalabsllc/skills-for-architects/product-spec-bulk-fetch)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.01485 |
| Opus 5 | $0.00018 | $0.00743 |
| Sonnet 5 | $0.00007 | $0.00297 |
| Haiku 4.5 | $0.00004 | $0.00148 |
Grade A, and why
product-spec-bulk-fetch scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/as:product-spec-bulk-fetch — Bulk Product Spec Fetcher
Harness note: use
/as:<skill>on Claude Code and$<skill>on Codex. Resolve<skill-root>as the directory containing this loadedSKILL.mdand<plugin-root>as the plugin root that containsskills/, 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:
- Inline list — URLs pasted directly in the message (one per line, or comma-separated)
- File path — A
.txt,.csv, or.mdfile containing URLs (one per line) - Project library — URLs from the named
Linkfield inproduct-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:
- Fetch the page using WebFetch with the prompt below
- Parse the response into the schema fields
- Flag issues — missing price, missing dimensions, non-product page
- 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.
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.
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.
- 13d ago First seen · 134 lines · 36 tokens per session scan A 728c67318a48
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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