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Whisk

Name: Whisk
Author: vcarolxhberger

作者 vcarolxhberger · GitHub ↗ · v1.0.1 · MIT-0

cross-platform ✓ 安全检测通过

114

总下载

当前安装

版本数

在 OpenClaw 中安装

/install whisk

功能描述

Drop a video and describe the look you're after — Whisk reads your footage and remixes its visual style, pacing, and mood on the fly. Whether you want to tur...

安全使用建议

This skill appears to do what it says: it calls the NemoVideo API to analyze and remix uploaded video. Before installing: 1) Be aware the skill requires an API token (NEMO_TOKEN). Treat that token like a password and only provide a token scoped/limited for this use; rotate it if needed. 2) The skill constructs a claim link that embeds the token as a URL parameter — avoid sharing that link and prefer provider flows that don't expose tokens in URLs. 3) The skill will write a client_id file to ~/.config/nemovideo/ if absent; this is benign but review that file if you care about local artifacts. 4) Only upload video files you are authorized to process. If you need stronger assurances, ask the vendor for token-scoping options, shorter token lifetimes, or an alternative claim flow that doesn't put tokens in URLs.

功能分析

Type: OpenClaw Skill Name: whisk Version: 1.0.1 The 'whisk' skill is a legitimate integration for the NemoVideo AI video editing service. It provides instructions for an AI agent to manage video remixing tasks, including session creation, file uploads, and status tracking via the 'mega-api-prod.nemovideo.ai' backend. The skill's use of local configuration in '~/.config/nemovideo/' and its authentication flow (using environment variables or fetching anonymous tokens) are standard for this type of service and align with its stated purpose.

能力评估

✓ Purpose & Capability

Name/description (video style remixer) match the declared dependency (a single NEMO_TOKEN) and the SKILL.md which describes calls to the NemoVideo API. The required config path (~/.config/nemovideo/) and client_id UUID are plausibly needed for anonymous token acquisition and session creation.

ℹ Instruction Scope

Instructions focus on creating a session, uploading video assets, and streaming SSE messages to the NemoVideo API. A noteworthy point: the SKILL.md directs building a claim link that embeds the token as a URL query parameter (https://nemovideo.com/workspace/claim?token=$TOKEN&...), which can leak the token via logs, browser history, or if the link is shared. Otherwise the instructions do not ask the agent to read unrelated system files or other credentials.

✓ Install Mechanism

This is an instruction-only skill with no install spec and no code files — nothing is written to disk by an installer. The only file-write action the instructions mention is creating a client_id under ~/.config/nemovideo/ if needed, which is reasonable for anonymous auth.

ℹ Credentials

Only a single credential (NEMO_TOKEN) is required and declared as primaryEnv, which is proportionate. Caveat: the created claim URL includes the token in a query parameter, which increases risk of token exposure. The skill also relies on a local client_id config file when obtaining anonymous tokens — this is consistent with its described behavior.

✓ Persistence & Privilege

The skill is not force-included (always: false) and can be invoked by the user. It does not request elevated platform privileges or modify other skills' configuration. It does instruct creating a small client config under the user's homedir, which is normal for a client identifier.

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 whisk
安装完成后，直接呼叫该 Skill 的名称或使用 /whisk 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

v1.0.1

- Whisk's focus shifted from recipe/ingredient detection to AI-powered video style remixing. - Updated description, display name, and examples to reflect new creative editing features (style transfer, tone/pacing changes, rhythm-matched cuts). - Changed target audience from home cooks/food creators to content creators, marketers, and social editors. - Metadata "emoji" changed from 🥄 to 🌀 in alignment with new creative video purpose. - Instructions, workflows, and introduction revised for video transformation instead of culinary analysis.

v1.0.0

Whisk 1.0.0 — AI-Powered Video Ingredient & Recipe Identification Tool - Initial release: Turn any cooking video into an interactive, step-by-step recipe workflow. - Automatically identifies ingredients, quantities, cooking methods, and recipe steps from uploaded cooking videos (mp4, mov, avi, webm, mkv). - Simple setup: Handles free, anonymous API auth and session management in the background. - Supports direct questions—ingredient scan, recipe extraction, pantry mapping—with seamless video analysis. - Clear API integration with session management, credits check, export, and rich error handling. - Built for home cooks, food creators, and culinary enthusiasts seeking instant, actionable kitchen guidance from their videos.

元数据

Slug whisk

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

Whisk 是什么？

Drop a video and describe the look you're after — Whisk reads your footage and remixes its visual style, pacing, and mood on the fly. Whether you want to tur... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 114 次。

如何安装 Whisk？

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

Whisk 是免费的吗？

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

Whisk 支持哪些平台？

Whisk 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 Whisk？

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