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 agentmods add skills/waybarrios/opencode-power-pack/huggingface-spacesnpx skills add waybarrios/opencode-power-pack --skill huggingface-spacesgit clone --depth 1 https://github.com/waybarrios/opencode-power-packWrote 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/waybarrios/opencode-power-pack/huggingface-spaces)<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="Measured on agentmods" 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 | $0.00060 | $0.04238 |
| Opus 5 | $0.00030 | $0.02119 |
| Sonnet 5 | $0.00012 | $0.00848 |
| Haiku 4.5 | $0.00006 | $0.00424 |
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 2d 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: 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
hfCLI is installed:which hf. If not,pip install -U huggingface_hub. - Check the user is logged in:
hf auth whoami. If not, runhf 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'scanPayandisProflags — 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.
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.
- references/3d-cuda-extensions.md 9.1 KB
- references/3d-generation.md 8.6 KB
- references/3d-gsplat.md 7.2 KB
- references/3d-models.md 20 KB
- references/3d-outputs.md 9.3 KB
- references/buckets.md 4.3 KB
- references/debugging.md 11 KB
- references/gradio.md 9.2 KB
- references/grants.md 2.6 KB
- references/inference-providers.md 3.2 KB
- references/known-errors.md 13 KB
- references/requirements.md 11 KB
- references/zerogpu.md 21 KB
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.
- 2d ago Changed 85662e3e619e
- 6d ago First seen · 242 lines · 60 tokens per session scan B 085d31e60b89
huggingface-spaces is a skill published in the GitHub repository waybarrios/opencode-power-pack (490 stars, last pushed 3d ago), licensed MIT. It adds 60 tokens to every session and 4,238 once invoked, about $0.0003 per session on Opus 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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