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OpenClaw Infer

作者 Tak Hoffman · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ 安全检测通过
124
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当前安装
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在 OpenClaw 中安装
/install openclaw-infer
功能描述
Use the OpenClaw `infer` CLI for provider-backed model, image, audio transcription, TTS, video, web-search, and embedding tasks.
安全使用建议
This skill is a thin guide to using the openclaw CLI; it looks internally consistent. Before installing: verify the npm package and publisher (e.g., check the package on npm and the project homepage), and prefer installing in a sandbox or container if you are cautious. Remember the CLI will contact provider backends and may upload any files you pass to it (images, audio, video) and may read its own config for credentials — avoid using sensitive local files unless you trust the provider and configuration. If you need to be extra cautious, inspect the openclaw package contents or run it in an isolated environment and check where it stores credentials/configuration.
功能分析
Type: OpenClaw Skill Name: openclaw-infer Version: 1.0.1 The skill bundle is a standard integration for the OpenClaw CLI, providing instructions for the agent to perform AI inference tasks such as text generation, image processing, and web searching. The installation process via npm and the command structures in SKILL.md are consistent with the stated purpose and show no signs of malicious intent or suspicious behavior.
能力评估
Purpose & Capability
The skill's name/description match the declared requirement (the openclaw binary) and the install spec (npm package openclaw). The listed commands and capabilities (model, image, audio, TTS, video, web, embedding) align with what the CLI would reasonably provide.
Instruction Scope
SKILL.md only instructs running the openclaw infer CLI and gives example commands. It references reading local media files when appropriate (photo.jpg, memo.m4a, clip.mp4), which is expected for these operations. It does not instruct reading unrelated system files or environment variables.
Install Mechanism
Install uses the npm package 'openclaw' (npm install -g openclaw). This is an expected/normal distribution method for a CLI, but npm packages can execute install scripts and write to disk—moderate risk inherent to npm installs rather than an anomalous arbitrary download URL.
Credentials
The skill declares no required environment variables or credentials, which is coherent for an instruction-only wrapper. Be aware the openclaw CLI itself may require provider credentials or a local config file at runtime (not declared in SKILL.md); those are external to the skill bundle.
Persistence & Privilege
always is false, user-invocable is true, and model invocation is allowed (defaults). The skill does not request persistent system-wide changes or elevated privileges in its instructions.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install openclaw-infer
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /openclaw-infer 触发
  4. 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
v1.0.1
- Added CLI install instructions and quick verification steps for setup. - Declared explicit binary (`openclaw`) requirement in metadata. - Added installation metadata and homepage link. - No command syntax or workflow changes.
v1.0.0
- Initial release of openclaw-infer skill. - Provides a unified CLI for model, image, audio transcription, TTS, video, web-search, and embedding inference tasks. - Prefer openclaw-infer over ad hoc wrappers or older provider-specific skills. - Includes guidance for core commands and selection rules for workflow consistency.
元数据
Slug openclaw-infer
版本 1.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

OpenClaw Infer 是什么?

Use the OpenClaw `infer` CLI for provider-backed model, image, audio transcription, TTS, video, web-search, and embedding tasks. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 124 次。

如何安装 OpenClaw Infer?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-infer」即可一键安装,无需额外配置。

OpenClaw Infer 是免费的吗?

是的,OpenClaw Infer 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

OpenClaw Infer 支持哪些平台?

OpenClaw Infer 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 Infer?

由 Tak Hoffman(@takhoffman)开发并维护,当前版本 v1.0.1。

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