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 AgentComputerAI/torch --skill etsygit clone --depth 1 https://github.com/AgentComputerAI/torchWrote 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/agentcomputerai/torch/etsy)<a href="https://agentmods.dev/skills/agentcomputerai/torch/etsy"><img src="https://agentmods.dev/badge/skills/agentcomputerai/torch/etsy/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/agentcomputerai/torch/etsy"><img src="https://agentmods.dev/badge/skills/agentcomputerai/torch/etsy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00130 | $0.02861 |
| Opus 5.5 | $0.00052 | $0.01144 |
| Sonnet 5.5 | $0.00026 | $0.00572 |
| Haiku 4.5 | $0.00013 | $0.00286 |
Grade A, and why
etsy 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 1mo 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.
description: Proven scraping playbook for etsy.com search result pages (/search?q=...). DataDome protects the HTML edge (bare curl gets HTTP 403 with `x-datadome: protected` and a JS captcha shell), but a puppeteer-core How it starts
The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Etsy (etsy.com)
Etsy search is a server-rendered listing grid wrapped in a DataDome shield. The shield only enforces on naive clients — a real Chrome session clears it transparently. Once you have the HTML, parsing is trivial cheerio work against class-stable selectors.
Detection
| Signal | Value |
|---|---|
| Server | Fastly + Varnish (via: 1.1 varnish, x-fastly-backend-reqs) |
| Framework | Server-rendered HTML (legacy Etsy stack, not Next.js) |
| Anti-bot | DataDome (x-datadome: protected, x-datadome-riskscore, datadome cookie) |
| Curl result | HTTP/2 403 + ~800-byte captcha shell (<title>etsy.com</title> + var dd={…} JS blob) |
| Real-Chrome | 200 OK, full HTML (~1.7 MB), no challenge — first navigation |
| robots.txt | Disallows /search for most bots, but the playbook is a Chrome session, not a crawler pretending to be Googlebot |
| Auth required | No (anonymous search works) |
Architecture
/search?q=<query>returns fully server-rendered HTML. No hydration-dependent JSON blob is needed.- Each listing is a
<div class="listing-link …" data-listing-id="…" data-shop-id="…">wrapper. ~60 per page (24 are rendered eagerly; a gentle scroll surfaces ~36 more lazy tiles). - Inside each card:
h3.v2-listing-card__title— product titlespan.currency-symbol+span.currency-value— price tokens (sale price is first pair, original price is second pair when discounted)span.wt-screen-reader-onlycontains full-textSale Price $7.95/Original Price $15.90— more reliable than glueing tokensspan.wt-text-title-small— numeric star rating (e.g.4.8)p.wt-text-body-smaller— review count in parentheses (e.g.(139.7k))span.clickable-shop-name— shop namespan.wt-text-greycontaining% off— discount labelimg— thumbnail (300×300il_300x300.*.jpgon etsystatic.com)clg-signal— badge text:Popular now,Bestseller, etc.
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.
- 1mo ago First seen · 179 lines · 0 tokens per session scan A c680902e4256
etsy is a skill published in the GitHub repository AgentComputerAI/torch (5 stars, last pushed 6mo ago), licensed MIT. It adds 130 tokens to every session and 2,861 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-31.
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