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tk8544-b

Tom Video

作者 tk8544-b · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
48
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install tom-video
功能描述
Turn a 2-minute raw recording of Tom speaking to camera into 1080p edited video clips just by typing what you need. Whether it's editing personal or presente...
安全使用建议
This skill appears to do what it claims (remote video editing) but has a few things to consider before you install or use it: 1) It requires or will obtain a NEMO_TOKEN and will upload your video files to mega-api-prod.nemovideo.ai — do not upload sensitive content unless you trust that service and its privacy policy. 2) The SKILL.md references a config path (~/.config/nemovideo/) and asks the agent to detect install paths (e.g., ~/.clawhub/) to set an X-Skill-Platform header; this means the skill may probe your home directory for those paths — if you are uncomfortable with that, do not grant it access or avoid installing. 3) If you provide an explicit NEMO_TOKEN, prefer a token with limited scope/expiry rather than long-lived cloud credentials. 4) Because the skill is instruction-only and the source is unknown, prefer to verify the service domain (nemovideo.ai) and the skill author before giving credentials or uploading private footage. If you want to proceed, limit permissions on any token you supply and consider testing with non-sensitive sample videos first.
功能分析
Type: OpenClaw Skill Name: tom-video Version: 1.0.0 The skill bundle provides a functional integration for an AI-powered video editing service hosted at nemovideo.ai. It includes detailed instructions for the agent to manage authentication tokens, handle file uploads, and monitor cloud-based rendering tasks via SSE and REST APIs. No indicators of malicious intent, data exfiltration, or unauthorized access were found; the requested permissions and network calls are consistent with the stated purpose of video processing.
能力评估
Purpose & Capability
The skill's name/description (remote video editing) aligns with the API endpoints and actions in SKILL.md (upload, render, export). Requesting a NEMO_TOKEN is appropriate for a remote service. However the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) which is not reflected in the registry metadata's 'Required config paths' — an inconsistency worth noting.
Instruction Scope
Instructions ask the agent to (a) use NEMO_TOKEN if present or obtain an anonymous token from a remote endpoint, (b) upload user video files (local path or URL) to the service, and (c) include attribution headers, including detecting X-Skill-Platform by inspecting install paths like ~/.clawhub/ or ~/.cursor/skills/. That implies filesystem probing of the user's home directory and potential reading of config locations. Uploading user videos to an external service is expected for this skill, but automatic probing of install/config paths increases privacy surface and is not fully justified in the prose.
Install Mechanism
Instruction-only skill with no install spec and no code files. Lowest installation risk — nothing written to disk by an install step. The runtime instructions cause network calls but no packaged code is being installed by the registry.
Credentials
Only NEMO_TOKEN is declared as required (primaryEnv), which is proportionate to a remote editing service. The SKILL.md also references a config path (~/.config/nemovideo/) in metadata and instructs detecting install paths for header attribution; these imply reading files or directories beyond the declared environment variable and increase the scope of data the skill may access. The skill will also obtain an anonymous token if no NEMO_TOKEN is present, which is reasonable but results in network token exchange.
Persistence & Privilege
always is false and the skill does not request elevated or permanent platform presence. There is no instruction to modify other skills or system-wide configs. That said, the skill may read user config paths and home directories to determine platform/config which is a privacy consideration rather than a privilege escalation.
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 tom-video
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /tom-video 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
Initial release of Tom Video — AI-powered personal video editing. - Instantly edit and export 2-minute personal or presenter-style videos by uploading raw footage and describing the desired result. - Automated connection and authentication; free starter tokens for new users. - Cloud-based GPU rendering supports MP4, MOV, AVI, WebM, and more; 1080p output. - Common workflows: quick edit, batch processing, and iterative refinement with timeline previews. - Automatic error handling with clear guidance for credits, sessions, and supported formats.
元数据
Slug tom-video
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

Tom Video 是什么?

Turn a 2-minute raw recording of Tom speaking to camera into 1080p edited video clips just by typing what you need. Whether it's editing personal or presente... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 48 次。

如何安装 Tom Video?

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

Tom Video 是免费的吗?

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

Tom Video 支持哪些平台?

Tom Video 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 Tom Video?

由 tk8544-b(@tk8544-b)开发并维护,当前版本 v1.0.0。

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