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vcarolxhberger

Ramp Video

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
72
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install ramp-video
功能描述
Get speed ramped video ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something like...
安全使用建议
This skill appears to do what it says (cloud speed‑ramp editing) and needs a NEMO_TOKEN to operate. Before installing: (1) confirm you are comfortable uploading your videos to the nemovideo.ai service and review that service's privacy/retention policy, (2) note the skill will auto-request an anonymous token if none is provided — if you prefer control, create/provide your own token rather than letting the skill generate one, (3) ask the publisher for source/homepage or a privacy statement (the skill has no homepage and an unknown source), and (4) clarify the metadata mismatch about ~/.config/nemovideo/ if you are concerned about local config access. If any of those are unacceptable, do not install or only use with non-sensitive footage.
功能分析
Type: OpenClaw Skill Name: ramp-video Version: 1.0.0 The skill requires network access to an external API (mega-api-prod.nemovideo.ai) and file system access for video processing and configuration (~/.config/nemovideo/), which are identified as risky capabilities even if plausibly needed for its stated purpose. It also instructs the agent to automatically obtain tokens and introspect its installation path to set platform attribution headers (X-Skill-Platform). While these behaviors are aligned with the functionality of a cloud-based video editor, the combination of automated external communication and environment discovery meets the threshold for a suspicious classification.
能力评估
Purpose & Capability
Name/description (speed-ramp video editing) align with the behavior in SKILL.md: the skill uploads user footage and calls nemovideo.ai APIs to create renders. Requiring a service token (NEMO_TOKEN) is proportionate to this cloud-processing purpose.
Instruction Scope
Instructions direct the agent to: (a) auto-create an anonymous token via POST to mega-api-prod.nemovideo.ai if NEMO_TOKEN is absent, (b) create a session, (c) upload user files (multipart or by URL), (d) stream/poll SSE endpoints and poll render status. These are consistent with the declared cloud-render pipeline, but they do mean user media will be uploaded to a third-party service and the agent will make network calls automatically. The SKILL.md also instructs hiding raw API responses and token values from users.
Install Mechanism
Instruction-only skill with no install spec or code files — lowest install risk. There is no downloaded code or extracted archives declared.
Credentials
The only required credential is NEMO_TOKEN (declared as primary), which fits the service integration. However, the frontmatter metadata includes a configPaths entry (~/.config/nemovideo/) even though registry metadata lists no required config paths — this is an inconsistency worth clarifying. Otherwise no unrelated secrets or extra environment variables are requested.
Persistence & Privilege
always:false and the skill does not declare system-wide changes or attempts to modify other skills. It will operate via network calls and sessions with the external service, which is expected for this use case. Autonomous invocation (disable-model-invocation:false) is the platform default and not flagged on its own.
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 ramp-video
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ramp-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 Ramp Video skill for automated speed ramp video edits. - Upload MP4, MOV, AVI, or WebM files up to 500MB; apply speed ramp effects via chat prompts. - Processes videos on cloud GPUs, outputs 1080p MP4 files, no local software needed. - Includes automatic authentication and session management for new users (100 free credits). - Supports exporting, credits checking, and session state tracking through intuitive chat commands. - Handles errors for tokens, file formats, credits, and export eligibility, providing friendly guidance.
元数据
Slug ramp-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

Ramp Video 是什么?

Get speed ramped video ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something like... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 72 次。

如何安装 Ramp Video?

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

Ramp Video 是免费的吗?

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

Ramp Video 支持哪些平台?

Ramp 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 Ramp Video?

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

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