product-spec-pdf-parser

product-spec-pdf-parser is a skill for Claude Code from AlpacaLabsLLC/skills-for-architects. It costs 39 tokens per session (1,838 once invoked), scanned A, original, MIT.

A PDF parser that extracts FF&E product specifications into a structured schedule. FF&E means furniture, fixtures, and equipment, such as chairs, lighting, and appliances.

In plain words
What is it for?
Use it to process product PDFs, expand variants into separate rows, create a Markdown preview, or save products to a project library.
Why use it?
It converts product information from price books and specification sheets into consistent schedule data despite differing PDF layouts.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool; positional $N argument; mentions Claude Code.

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

Good fit Use it to process product PDFs, expand variants into separate rows, create a Markdown preview, or save products to a project library.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alpacalabsllc/skills-for-architects/product-spec-pdf-parser
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-pdf-parser
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-pdf-parser

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/alpacalabsllc/skills-for-architects/product-spec-pdf-parser"><img src="https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/product-spec-pdf-parser.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,838 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 $0.00039 $0.01838
Opus 5 $0.00019 $0.00919
Sonnet 5 $0.00008 $0.00368
Haiku 4.5 $0.00004 $0.00184

Measured 13d ago against content hash 730bc1c49440, 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-pdf-parser 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-pdf-parser/SKILL.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/as:product-spec-pdf-parser — PDF Product Spec Parser

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 product PDF files — price books, fact sheets, configurator sheets, and spec sheets. Uses PyMuPDF for text extraction and Claude's reasoning to parse wildly varying PDF layouts into a standardized schedule.

Input

The user provides PDFs in one of these ways:

  1. File paths — one or more PDF file paths
  2. Folder path — a directory containing PDFs (will process all .pdf files)
  3. Just invoked — ask the user for file paths or a folder

Also ask (or use defaults):

  • Persistence — Markdown preview by default; optionally save to the project library
  • Variant depthexpand (one row per variant/SKU, default) or summarize (comma-separated variants in one row)

Output Schema

Persistent products use the nearest project-root product-library.csv with no extra columns. Read ../../schema/product-schema.md and ../../schema/csv-conventions.md.

Skill-specific named values: Source is pdf-parser; Status is saved; Link, Thumbnail, Vendor, Sale Price, and Image URL are blank unless directly supported by the PDF.

PDF-specific data in Notes

PDFs contain fields that don't have dedicated master columns. Append these to Notes using | as delimiter:

  • Variant: Variant: Diamond, Black
  • Price Adder: Price adder: +$130 (PostureFit SL)
  • Country of Origin: Origin: Sweden
  • Source File: Source: alphabeta-fact-sheet.pdf

Example Notes cell: Variant: Diamond, Black | Origin: Sweden | Source: alphabeta-fact-sheet.pdf

Variant Handling

Different PDF types require different approaches:

Fact sheets with SKUs (e.g., Alphabeta lamp)

  • One row per SKU. Each shade shape × color = one row.
  • Product Name stays the same across rows. Variant describes the distinguishing attributes.
  • Example: "Alphabeta Floor Lamp" / Variant: "Diamond, Black" / SKU: "..."

Read the full file on GitHub · 160 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 · 160 lines · 39 tokens per session scan A 730bc1c49440

Subscribe to this mod's changes

product-spec-pdf-parser is a skill published in the GitHub repository AlpacaLabsLLC/skills-for-architects (353 stars, last pushed 9d ago), licensed MIT. It adds 39 tokens to every session and 1,838 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.