← 返回 Skills 市场
Video Low
作者
linmillsd7
· GitHub ↗
· v1.0.0
· MIT-0
52
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-low
功能描述
Turn a 2-minute 1080p interview recording into 720p compressed video files just by typing what you need. Whether it's reducing video file size for sharing or...
安全使用建议
This skill appears to do what it says (upload your video to a cloud backend, compress on GPUs, and return a download link), but consider the following before installing or using it:
- Privacy: Your videos are uploaded to https://mega-api-prod.nemovideo.ai. If clips contain sensitive content, do not upload them until you verify the service's privacy/security practices.
- Credentials: The skill declares NEMO_TOKEN as required but will also generate an anonymous token if none is present — clarify whether you must provide a token (and what account/credits it uses). If you supply your own NEMO_TOKEN, the skill can act on your account/credits. Treat that token like a password.
- Metadata/headers: The skill constructs X-Skill-* attribution headers and may inspect install path metadata to populate them — that file/path detection is minor but is inconsistent with registry metadata and should be resolved.
- Test safely: Try with non-sensitive short clips first to confirm behavior, quotas, and that downloads work as documented.
- Verify origin: The skill has no homepage and the owner is an opaque ID. If you need stronger assurance, request the skill's source or a vendor privacy/security statement and confirm the API domain and endpoints are legitimate.
If you want me to, I can: (1) highlight the exact lines in SKILL.md that conflict with the registry metadata, (2) suggest a minimal set of questions to ask the skill author, or (3) draft a short test prompt and non-sensitive test clip workflow you can run safely.
功能分析
Type: OpenClaw Skill
Name: video-low
Version: 1.0.0
The skill acts as a legitimate wrapper for a cloud-based video compression service hosted at nemovideo.ai. It manages session state, handles file uploads, and processes video via documented API endpoints. While it includes logic to detect its installation path (e.g., ~/.clawhub) for telemetry headers and manages authentication tokens, these behaviors are transparently described in SKILL.md and align with the functional requirements of a third-party API integration.
能力评估
Purpose & Capability
Name/description match the runtime instructions: the skill routes uploads and render requests to a cloud video backend (nemovideo.ai). Requiring a NEMO_TOKEN and a session_id for cloud operations is expected for this purpose.
Instruction Scope
Instructions stay within the video-compression domain (create session, upload files, SSE for edits, export/poll for download). They also instruct the agent to check env for NEMO_TOKEN, or else obtain an anonymous token from the service; to add attribution headers derived from the file frontmatter and detect install path for X-Skill-Platform. These behaviors are relevant to the API but grant the skill the ability to: (a) contact an external service and upload user files, and (b) introspect install path metadata for headers. The instructions explicitly say not to expose tokens to users, but they do cause network activity and token acquisition on behalf of the user — that is expected for a cloud-based exporter but worth noting.
Install Mechanism
Instruction-only skill with no install steps or downloads. No code files and no packages are installed by the skill itself, minimizing disk-write risk.
Credentials
Registry metadata lists NEMO_TOKEN as required/primary, but the SKILL.md instructs the agent to obtain an anonymous NEMO_TOKEN if none is present. Additionally, the SKILL.md metadata lists a config path (~/.config/nemovideo/) while the registry metadata earlier reported no required config paths. These mismatches (declared required env vs. runtime fallback behavior, and inconsistent config path reporting) are incoherent and should be clarified. Functionally, the only secret used is NEMO_TOKEN; that is proportional to the claimed cloud service, but be aware providing your own NEMO_TOKEN grants the skill bearer access to your account/credits.
Persistence & Privilege
always:false and no install-time persistence. The skill keeps ephemeral session_id and tokens to operate, but it does not request elevated system privileges or modify other skills. Autonomous invocation is allowed (platform default) but not combined with other high-risk flags.
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 video-low - 安装完成后，直接呼叫该 Skill 的名称或使用
/video-low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
Video Low 1.0.0 — Initial Release
- Easily compress and reduce video sizes through natural language instructions.
- Automatic cloud setup and session handling; requires no local installs.
- Supports uploads, state checks, credits, and exports for common video formats.
- Provides helpful feedback during processing and clear guidance for errors.
- Efficient 30-60 second cloud processing for typical 2-minute clips with flexible output options.
元数据
常见问题
Video Low 是什么？
Turn a 2-minute 1080p interview recording into 720p compressed video files just by typing what you need. Whether it's reducing video file size for sharing or... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 52 次。
如何安装 Video Low？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-low」即可一键安装，无需额外配置。
Video Low 是免费的吗？
是的，Video Low 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Video Low 支持哪些平台？
Video Low 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 Video Low？
由 linmillsd7（@linmillsd7）开发并维护，当前版本 v1.0.0。
推荐 Skills