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Video Editing With Gpu
作者
peandrover adam
· GitHub ↗
· v1.0.0
· MIT-0
88
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-editing-with-gpu
功能描述
Get GPU-rendered MP4 ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, MKV, up to 500MB), say something like "cu...
安全使用建议
This skill appears to be a straightforward cloud video-editing wrapper, but the source is unknown and there are small inconsistencies to clear up before installing. Ask the publisher (or the registry) to confirm: (1) whether the skill actually reads ~/.config/nemovideo/ or any files on the agent — the registry and SKILL.md disagree; (2) what exact permissions the NEMO_TOKEN grants and whether it can be scoped or revoked; (3) why the skill needs to auto-detect an install path for X-Skill-Platform (that may require filesystem access). Also confirm you trust the endpoint domain (mega-api-prod.nemovideo.ai) before uploading sensitive footage. If you cannot verify these points, treat the skill conservatively (do not provide sensitive videos or long-lived credentials).
功能分析
Type: OpenClaw Skill
Name: video-editing-with-gpu
Version: 1.0.0
The skill is a functional wrapper for a cloud-based video editing service (nemovideo.ai). It manages authentication, file uploads, and GPU-accelerated rendering by interfacing with legitimate API endpoints (e.g., mega-api-prod.nemovideo.ai). All behaviors, including the handling of the NEMO_TOKEN and the transmission of video data to remote servers, are explicitly documented and directly support the stated purpose of the skill without evidence of malicious intent or unauthorized data exfiltration.
能力评估
Purpose & Capability
As described, the skill routes uploads and edit requests to a cloud GPU video service and requires a service token (NEMO_TOKEN) — that is coherent. However, the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) while the registry metadata earlier reported no required config paths, a mismatch worth clarifying.
Instruction Scope
Runtime instructions are focused on API calls to the nemovideo backend (session creation, SSE chat, upload, export). They do not ask for unrelated system data. Minor scope creep: the skill expects to 'auto-detect' platform from the install path (which implies reading agent/FS context) and mandates specific attribution headers derived from frontmatter — both require access to agent environment or metadata.
Install Mechanism
Instruction-only skill with no install spec or downloaded code — lowest install risk. Nothing is written to disk by an installer step described here.
Credentials
Only NEMO_TOKEN is declared as required which aligns with a cloud video API. Caveats: SKILL.md also references a config path (~/.config/nemovideo/) and expects to auto-detect an install path for X-Skill-Platform; both imply filesystem/config access beyond a simple env var. Verify whether the skill actually reads that config path or only lists it.
Persistence & Privilege
Skill is not set to always:true and uses normal autonomous invocation defaults. It does not request writing or modifying other skills or system-wide agent settings in the instructions.
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-editing-with-gpu - 安装完成后，直接呼叫该 Skill 的名称或使用
/video-editing-with-gpu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
Initial release of Video Editing with GPU — fast, cloud-rendered MP4 editing and export.
- Upload raw video (MP4, MOV, AVI, MKV, up to 500MB) and receive a GPU-rendered 4K MP4 file, ready to download.
- No manual sliders or local setup required — describe your edits in plain language.
- Automatic connection to backend API, using a session token for fast job processing.
- Supports editing, adding transitions, overlays, text, and audio via simple prompts.
- Built-in error handling for tokens, session, format, and credits.
- Exports completed in 30–90 seconds using cloud GPUs.
元数据
常见问题
Video Editing With Gpu 是什么？
Get GPU-rendered MP4 ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, MKV, up to 500MB), say something like "cu... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 88 次。
如何安装 Video Editing With Gpu？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-editing-with-gpu」即可一键安装，无需额外配置。
Video Editing With Gpu 是免费的吗？
是的，Video Editing With Gpu 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Video Editing With Gpu 支持哪些平台？
Video Editing With Gpu 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 Editing With Gpu？
由 peandrover adam（@peand-rover）开发并维护，当前版本 v1.0.0。
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