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whitejohnk-26

Opus Clip

作者 whitejohnk-26 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
67
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install opus-clip
功能描述
Get short viral clips ready to post, without touching a single slider. Upload your long-form video (MP4, MOV, AVI, WebM, up to 500MB), say something like "cl...
安全使用建议
This skill appears to be what it says: a cloud-based video clipper that requires a single service token. Before installing or using it, consider: (1) The service host (mega-api-prod.nemovideo.ai) will receive any uploaded video — do not upload sensitive content unless you trust the service and reviewed its privacy policy/retention rules. (2) If NEMO_TOKEN is not provided, the skill will POST to an anonymous-token endpoint to obtain a short-lived token automatically (this is normal but is a network call you should expect). (3) The SKILL.md asks the agent to detect its install path to set an X-Skill-Platform header — that can reveal which client/runtime path is in use; if you prefer not to expose that, provide a token and/or review how the agent builds headers. (4) There is a small metadata inconsistency (frontmatter mentions a config path while the registry metadata did not); not necessarily malicious but worth verifying. Lastly, the skill source/homepage is unknown — if you need stronger assurance, ask the publisher for a homepage or privacy/security documentation before uploading production or sensitive videos.
功能分析
Type: OpenClaw Skill Name: opus-clip Version: 1.0.0 The skill provides a functional interface for the Opus Clip video processing service, communicating with the backend at mega-api-prod.nemovideo.ai. It handles authentication via environment variables or anonymous token generation, manages video upload/rendering sessions, and processes server-sent events (SSE) for real-time updates. All identified behaviors, including platform detection for attribution and local configuration access, are consistent with the stated purpose of a video editing integration and show no signs of malicious intent or data exfiltration.
能力评估
Purpose & Capability
Name/description (cloud video clipper) matches the declared primary credential (NEMO_TOKEN) and the SKILL.md instructs only calls to nemovideo.ai endpoints for uploads, SSE, rendering and exports. Nothing else (no AWS keys, no unrelated service tokens) is requested. Note: the SKILL.md frontmatter lists a configPaths entry (~/.config/nemovideo/) even though the registry summary above reported no required config paths — a discrepancy in metadata but not itself a functional mismatch.
Instruction Scope
The instructions keep scope focused on uploading videos, starting sessions, streaming SSE, polling render status, and exporting results from mega-api-prod.nemovideo.ai. They instruct the agent to use NEMO_TOKEN (or obtain a short-lived anonymous token via the anonymous-token endpoint) and to include attribution headers. One privacy-relevant instruction: detect the agent's install path to set X-Skill-Platform (e.g., check for ~/.clawhub/ or ~/.cursor/skills/), which implies filesystem inspection to derive a header value. Otherwise the runtime steps do not ask for unrelated files or other environment variables.
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing is downloaded or written to disk by an installer. This is low risk from an installation perspective.
Credentials
Only one credential is required (NEMO_TOKEN), which is appropriate for calling the vendor API. The skill also describes a local config path in its frontmatter (~/.config/nemovideo/), but the registry's requirement list did not include config paths — this mismatch is a metadata inconsistency. The SKILL.md will attempt to mint an anonymous token if NEMO_TOKEN is absent, which is expected behavior but means the agent will perform a network POST to obtain a token.
Persistence & Privilege
The skill does not request always: true or other elevated platform privileges and does not instruct modifying other skills or system-wide settings. It uses session tokens for transient jobs; no persistent system presence is requested.
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 opus-clip
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /opus-clip 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
v1.0.0
Opus Clip 1.0.0 — Initial Release - Instantly convert long-form videos into short, viral-ready clips with AI-powered editing—no manual sliders or timelines required. - Simple upload and prompt-based workflow: describe your desired output (e.g., "clip the best 60-second moments and add captions for TikTok") and receive a ready-to-share 1080p MP4. - Supports video uploads up to 500MB in popular formats (MP4, MOV, AVI, WebM) with fast cloud processing. - Integrated session management, credits system, and robust error handling for a smooth user experience. - Designed for content creators and marketers seeking to repurpose long videos into engaging short clips quickly and easily.
元数据
Slug opus-clip
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Opus Clip 是什么?

Get short viral clips ready to post, without touching a single slider. Upload your long-form video (MP4, MOV, AVI, WebM, up to 500MB), say something like "cl... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 67 次。

如何安装 Opus Clip?

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

Opus Clip 是免费的吗?

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

Opus Clip 支持哪些平台?

Opus Clip 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 Opus Clip?

由 whitejohnk-26(@whitejohnk-26)开发并维护,当前版本 v1.0.0。

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