What makes Hugging Face CLI notable?

1.2K downloads. Trust evidence available

How should Hugging Face CLI be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Hugging Face CLI

Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub... Skill: Hugging Face CLI Owner: huggingface Summary: Hugging Face Hub CLI (hf) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub... Tags: latest:1.20.1 Version history: v1.20.1 | 2026-06-23T14:52:09.937Z | user Sync hf-cli skill from Hugging Face CLI 1.20.1 v1.16.1 | 2026-05-25T08:04:55.449Z | user Sync hf-cli skill from Hugging Face CLI 1

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.2k

Updated

Oct 11, 2026

Version

1.20.1

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.2K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1.2K downloadsadoption · observed Oct 11, 2026
Latest release: 1.20.1release · observed Jun 23, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17c97t8pc9bbk0250h32am5an876jyb:hf-cli

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-huggingface-hf-cli/snapshot"

Documentation

CLAWHUB

76,243 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: hf-cli
description: "Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; configuring spaces; setting up webhooks; or deploying and managing HF Inference Endpoints. Make sure to use this skill whenever the user mentions 'hf', 'huggingface', 'Hugging Face', 'huggingface-cli', or 'hugging face cli', or wants to do anything related to the Hugging Face ecosystem and to AI and ML in general. Also use for cloud storage needs like training checkpoints, data pipelines, or agent traces. Use even if the user doesn't explicitly ask for a CLI command. Replaces the deprecated `huggingface-cli`."
---

Install: `curl -LsSf https://hf.co/cli/install.sh | bash -s`.

The Hugging Face Hub CLI tool `hf` is available. IMPORTANT: The `hf` command replaces the deprecated `huggingface-cli` command.

Use `hf --help` to view available functions. Note that auth commands are now all under `hf auth` e.g. `hf auth whoami`.

Generated with `huggingface_hub v1.20.0`. Run `hf skills add --force` to regenerate.

## Commands

- `hf cp SRC` — Copy files between local paths, repositories, and buckets. `[--format [auto|human|agent|json|quiet]]`
- `hf download REPO_ID` — Download files from the Hub. `[--type [model|dataset|space] --revision TEXT --include TEXT --exclude TEXT --cache-dir TEXT --local-dir TEXT --force-download --dry-run --max-workers INTEGER --format [auto|human|agent|json|quiet]]`
- `hf env` — Print information about the environment. `[--format [auto|human|agent|json|quiet]]`
- `hf sync` — Sync files between local directory and a bucket. `[--delete --ignore-times --ignore-sizes --plan TEXT --apply TEXT --dry-run --include TEXT --exclude TEXT --filter-from TEXT --existing --ignore-existing --verbose --format [auto|human|agent|json|quiet]]`
- `hf update` — Update the `hf` CLI to the latest version. `[--format [auto|human|agent|json|quiet]]`
- `hf upload REPO_ID` — Upload a file or a folder to the Hub. Recommended for single-commit uploads. `[--type [model|dataset|space] --revision TEXT --private --include TEXT --exclude TEXT --delete TEXT --commit-message TEXT --commit-description TEXT --create-pr --every FLOAT --format [auto|human|agent|json|quiet]]`
- `hf upload-large-folder REPO_ID LOCAL_PATH` — Upload a large folder to the Hub. Recommended for resumable uploads. `[--type [model|dataset|space] --revision TEXT --private --include TEXT --exclude TEXT --num-workers INTEGER --no-report --no-bars --format [auto|human|agent|json|quiet]]`
- `hf version` — Print information about the hf version. `[--format [auto|human|agent|json|quie

_meta.json

{
  "ownerId": "kn7a0pk83gw3xmb3777pkzsj2s8773m8",
  "slug": "hf-cli",
  "version": "1.20.1",
  "publishedAt": 1782226329937
}

skill-card.md

## Description:

Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub.

This skill is ready for commercial/non-commercial use.

## Publisher:

[huggingface](https://clawhub.ai/user/huggingface)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and engineers use this skill to ask an agent for Hugging Face Hub CLI guidance and shell commands for authentication, cache management, model and dataset access, repository operations, Spaces, Jobs, webhooks, buckets, and Inference Endpoints.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Authenticated Hub commands can upload, delete, deploy, schedule jobs, or change repository, Space, webhook, and endpoint state.

Mitigation: Confirm the exact account, namespace, resource name, command target, and destructive flags before any state-changing operation; prefer dry-run or preview options where available.

Risk: Commands that print or pass Hugging Face tokens can expose credentials.

Mitigation: Use least-privilege tokens through environment variables, avoid commands that print token values, and do not include tokens directly in shell history or shared output.

Risk: Installer commands that pipe remote scripts directly into a shell can execute unreviewed code.

Mitigation: Download and inspect installer contents or verify the source independently before executing remote installation scripts.

## Reference(s):

- [ClawHub Skill Page](https://clawhub.ai/huggingface/skills/hf-cli)
- [Hugging Face CLI installer](https://hf.co/cli/install.sh)
- [hf-mount GitHub repository](https://github.com/huggingface/hf-mount)

## Skill Output:

**Output Type(s):** [Text, Markdown, Shell commands, Configuration]

**Output Format:** [Markdown with inline shell commands and command reference text]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May reference authenticated Hugging Face Hub operations and should avoid exposing tokens.]

## Skill Version(s):

1.20.1 (source: server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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