A scraping guide for Hugging Face listings. Hugging Face is a platform that publishes machine-learning models, datasets, and interactive demo applications, with public JSON endpoints for these listings.

Use it to retrieve models, datasets, or Spaces from Hugging Face. It covers listing filters, sorting, and cursor-based pagination through the public API.

It avoids parsing the HTML page when the same filtered and sorted data is available as JSON. The endpoints require no login for public listings and avoid the HTML page’s soft rate limit.

huggingface — Skill for Claude Code and Codex by AgentComputerAI/torch

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 AgentComputerAI/torch --skill huggingface

Clone the repo

git clone --depth 1 https://github.com/AgentComputerAI/torch

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/agentcomputerai/torch/huggingface/github.svg)](https://agentmods.dev/skills/agentcomputerai/torch/huggingface)

Your own site

<a href="https://agentmods.dev/skills/agentcomputerai/torch/huggingface"><img src="https://agentmods.dev/badge/skills/agentcomputerai/torch/huggingface/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/agentcomputerai/torch/huggingface"><img src="https://agentmods.dev/badge/skills/agentcomputerai/torch/huggingface.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,613 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.

Model	Per session	Once invoked
Fable 5.1	$0.00105	$0.01613
Opus 5.5	$0.00042	$0.00645
Sonnet 5.5	$0.00021	$0.00323
Haiku 4.5	$0.00011	$0.00161

Measured 1mo ago against content hash 9f790732e877, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

huggingface 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.

- **Phase 0 (curl):** HTML returns 200 but the data lives in a hydration blob. Not worth parsing — instead checked `/api/models?pipeline_tag=text-generation&sort=trendingScore`. Got clean JSON. Done.

skills/sites/huggingface/SKILL.md · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hugging Face (huggingface.co)

The model/dataset/space listing HTML pages are server-rendered behind CloudFront but there is no reason to scrape them — Hugging Face ships a public JSON API that backs the same UI and accepts every URL filter verbatim. One-to-one parameter mapping, no auth, no rate-limit in practice (a soft ratelimit: "pages";q=100;w=300 is on the HTML routes, not /api).

Detection

Signal	Value
CDN	CloudFront (`x-cache: ... cloudfront.net`)
Framework	SvelteKit (`huggingface-moon`)
Anti-bot	None on `/api/*`. HTML pages have a soft page rate limit.
Auth	Not required for public models/datasets/spaces.
robots.txt	Allows `/api/` crawling.

Architecture

Every listing URL https://huggingface.co/models?<filters> has a direct JSON twin at https://huggingface.co/api/models?<same filters>. The HTML page is just a SvelteKit shell that calls the same endpoint client-side.

Endpoint: https://huggingface.co/api/models
Filters map 1:1: pipeline_tag, library, language, license, other, search, author, filter.
Sort: sort=trendingScore|downloads|likes|createdAt|lastModified + direction=-1|1.
Page size: limit (max 100 observed, use 100).
Pagination: cursor-based via the Link response header (<...cursor=...>; rel="next"). Extract the cursor query param from that URL and pass it to the next request.

Also available:

/api/datasets — same shape, for /datasets listings.
/api/spaces — same shape, for /spaces listings.
/api/models/<repo_id> — full model card metadata for a single repo.

Strategy used

Phase 0 (curl): HTML returns 200 but the data lives in a hydration blob. Not worth parsing — instead checked /api/models?pipeline_tag=text-generation&sort=trendingScore. Got clean JSON. Done.
Phase 1–2: skipped.

Stealth config that works

None needed. Plain fetch with a generic User-Agent.

await fetch("https://huggingface.co/api/models?...", {
  headers: { "User-Agent": "Mozilla/5.0 torch-scraper" },
});

Read the full file on GitHub · 142 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.

1mo ago First seen · 142 lines · 0 tokens per session scan A 9f790732e877

Subscribe to this mod's changes

huggingface is a skill published in the GitHub repository AgentComputerAI/torch (5 stars, last pushed 6mo ago), licensed MIT. It adds 105 tokens to every session and 1,613 once invoked, about $0.0004 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.

Browser automation Research agentic-ai ai-agent anti-bot bot-evasion cli nodejs

chrome-extension

Use when building or shipping a Manifest V3 browser extension and hitting its quirks — service worker dying and losing state, permission warnings, a Chrome Web Store rejection, content-script/worker/popup messaging, or an MV2-to-V3 migration. NOT a generic web app (that is nextjs), NOT a desktop shell (that is…

ericrisco/rsc-harness · 76 tokens

data-scraper

Use when data lives on a website with no usable API — listings, prices, public records — and the scrape must stay legal and not get blocked: legal gate, extraction path, durable selectors, pacing, resilience. NOT parsing bytes you already hold into fields (that is structured-extraction), NOT a documented API or key…

ericrisco/rsc-harness · 77 tokens

nodejs

Use when building or operating a plain Node.js / Express 5 backend service: project layout, async correctness, central error middleware, fail-fast config, graceful shutdown on SIGTERM. NOT DI modules/providers/guards (that is nestjs), NOT the type system or tsconfig (that is typescript), NOT REST contract design (that…