What is huggingface-spaces?

A guide for creating and running Hugging Face Spaces, which are Git repositories that host machine-learning apps. It covers Spaces built with Gradio, Docker, or the Static SDK.

Use it to create, deploy, debug, or maintain a Hugging Face Space. It is for general Space hosting and configuration, not ZeroGPU limits or LoRA demo creation.

It helps manage the app code, hosting setup, and deployment details in one workflow. It also helps investigate problems in an existing Space.

huggingface-spaces — Skill for Claude Code by waybarrios

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 waybarrios/opencode-power-pack --skill huggingface-spaces

Clone the repo

git clone --depth 1 https://github.com/waybarrios/opencode-power-pack

Made for: Claude Code.

Or install opencode-power-pack, the plugin that ships this one along with the rest of its 55 skills.

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/waybarrios/opencode-power-pack/huggingface-spaces/github.svg)](https://agentmods.dev/skills/waybarrios/opencode-power-pack/huggingface-spaces)

Your own site

<a href="https://agentmods.dev/skills/waybarrios/opencode-power-pack/huggingface-spaces"><img src="https://agentmods.dev/badge/skills/waybarrios/opencode-power-pack/huggingface-spaces/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/waybarrios/opencode-power-pack/huggingface-spaces"><img src="https://agentmods.dev/badge/skills/waybarrios/opencode-power-pack/huggingface-spaces.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,238 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Anti-Refusal · line 182
Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.

Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00060	$0.04238
Opus 5.5	$0.00024	$0.01695
Sonnet 5.5	$0.00012	$0.00848
Haiku 4.5	$0.00006	$0.00424

Measured 1mo ago against content hash 85662e3e619e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

huggingface-spaces scanned grade B 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.

Strips warnings and disclaimersmediumAnti-refusal

Omitting safety caveats hides risk from the user and is a common jailbreak preamble.

**B. Logs clean post-boot?** Read the run log to confirm startup finished without warnings or silent fallbacks:

skills/huggingface-spaces/SKILL.md · 242 lines

How it starts

The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hugging Face Spaces

Hugging Face Spaces host machine-learning applications. There are 1M+ today; each Space is a git repo. This skill covers creating, building, debugging, and maintaining them.

0. Getting ready

Before anything else:

Check the hf CLI is installed: which hf. If not, pip install -U huggingface_hub.
Check the user is logged in: hf auth whoami. If not, run hf auth login — it prints a URL and a one-time code; ask the user to open the URL and enter the code, then login completes automatically (OAuth, no token needed). Alternatively, pass a write-scoped token from https://huggingface.co/settings/tokens with --token.
Note whoami's canPay and isPro flags — they gate hardware choices below.

The hf-cli skill teaches an agent every hf command and is the recommended companion to this one. Install it with hf skills add hf-cli (add --claude --global to install for Claude Code as well, user-level).

1. What a Space is

A Space is a git repo with three possible SDKs:

Gradio — most Spaces. Python, fast iteration, supports ZeroGPU.
Docker — arbitrary container. Use when you need a non-Python stack or a pre-built template (Streamlit, Argilla, Shiny, etc. — full list at https://huggingface.co/docs/hub/spaces-sdks-docker). Does not support ZeroGPU.
Static — plain HTML, or a React/Svelte/Vue project built at deploy time. Use for in-browser ML (transformers.js / WebGPU / WebAssembly / onnxruntime-web), project pages, interactive reports, or Spaces that orchestrate other Spaces. No hardware needed.

Hardware tiers

Free, no creator cost: cpu-basic and zero-a10g (ZeroGPU). Static Spaces are also free and don't need hardware.

cpu-basic — 2 vCPU / 16 GB. For data viz, API-proxy Spaces, small CPU-bound models.

ZeroGPU (zero-a10g) — dynamic, per-request GPU allocation on NVIDIA RTX PRO 6000 Blackwell (sm_120). Two sizes: large (half MIG, 48 GB, 1× quota) and xlarge (full, 96 GB, 2× quota). Free for the Space creator; Space visitors consume their own daily quota (~5 min free / 40 min Pro / 60 min Enterprise). Gradio-only, PyTorch-first. Requires the creator to be on a PRO / Team / Enterprise plan.

Read the full file on GitHub · 242 lines

Files

What ships with it

13 files 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.

1mo ago Changed 85662e3e619e
1mo ago First seen · 242 lines · 60 tokens per session scan B 085d31e60b89

Subscribe to this mod's changes

huggingface-spaces is a skill published in the GitHub repository waybarrios/opencode-power-pack (544 stars, last pushed 5d ago), licensed MIT. It adds 60 tokens to every session and 4,238 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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