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Openclaw Huggingface
作者
Xuan-You Lin
· GitHub ↗
· v1.0.0
481
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0
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1
当前安装
1
版本数
在 OpenClaw 中安装
/install openclaw-huggingface
功能描述
Manage models, datasets, Spaces, and repositories using Hugging Face CLI (hf). Supports authentication, upload, download, Space creation, and more.
安全使用建议
This skill is essentially documentation for the official Hugging Face CLI. Before installing/use: (1) ensure you have the official 'hf' CLI binary installed (verify vendor/source) so commands run against the real tool; (2) provide an HF_TOKEN with least-privilege scopes needed (avoid a fully-scoped or long-lived token if not necessary); (3) be careful when running upload commands to avoid unintentionally publishing private data or large files; and (4) keep the hf CLI updated to avoid using a compromised client binary.
功能分析
Type: OpenClaw Skill
Name: openclaw-huggingface
Version: 1.0.0
The skill bundle provides a straightforward interface for the Hugging Face CLI (`hf`), enabling operations like model/dataset management, file download/upload, and repository control. All instructions in SKILL.md are legitimate uses of the `hf` tool, clearly aligned with the stated purpose, and do not contain any evidence of malicious intent such as data exfiltration, unauthorized execution, persistence mechanisms, or prompt injection attempts against the agent. The required `HF_TOKEN` and file system/network access are necessary for the skill's intended functionality.
能力评估
Purpose & Capability
Name/description match the actual requirements: the skill needs the 'hf' CLI and HF_TOKEN to operate on Hugging Face models, datasets, Spaces, and repos. Nothing requested appears unrelated to the stated functionality.
Instruction Scope
SKILL.md contains concrete hf CLI commands (auth, models, datasets, repos, spaces, upload/download). Commands reference local paths only when doing uploads/downloads, which is expected. The instructions do not ask the agent to read unrelated system files or to transmit data to endpoints outside Hugging Face CLI's normal behavior.
Install Mechanism
There is no install spec (instruction-only). That minimizes risk — the skill does not download or write code to disk. It expects the user/host to provide the official 'hf' binary.
Credentials
Only HF_TOKEN is required, which is the expected credential for interacting with the Hugging Face Hub. No unrelated secrets, keys, or config paths are requested. The docs note you can alternatively pass --token, which is consistent.
Persistence & Privilege
The skill is not always-on and does not request elevated persistence or modify other skills/configs. Autonomous model invocation remains possible (platform default) but is not combined with additional concerning privileges.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install openclaw-huggingface - 安装完成后，直接呼叫该 Skill 的名称或使用
/openclaw-huggingface触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
openclaw-huggingface 1.0.0
- Initial release of the Hugging Face CLI skill for managing models, datasets, Spaces, and repositories.
- Supports authentication, upload, download, Space creation, hot-reload, branch/tag management, and collection organization via the CLI.
- Requires Hugging Face CLI (hf) and HF_TOKEN environment variable for authentication.
- Includes examples and guidance for core tasks such as downloading models, uploading repositories, managing Spaces, and more.
元数据
常见问题
Openclaw Huggingface 是什么？
Manage models, datasets, Spaces, and repositories using Hugging Face CLI (hf). Supports authentication, upload, download, Space creation, and more. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 481 次。
如何安装 Openclaw Huggingface？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-huggingface」即可一键安装，无需额外配置。
Openclaw Huggingface 是免费的吗？
是的，Openclaw Huggingface 完全免费（开源免费），可自由下载、安装和使用。
Openclaw Huggingface 支持哪些平台？
Openclaw Huggingface 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Openclaw Huggingface？
由 Xuan-You Lin（@tsukisama9292）开发并维护，当前版本 v1.0.0。
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