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Video Editing With Davinci
作者
susan4731-wilfordf
· GitHub ↗
· v1.0.0
· MIT-0
110
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-editing-with-davinci
功能描述
Turn a 3-minute DaVinci Resolve project export into 4K polished edited clips just by typing what you need. Whether it's editing and refining video timelines...
安全使用建议
This skill appears to do what it says (remote GPU-based video editing) but has a few red flags you should consider before using it with real or sensitive footage:
- It will upload your raw videos to a third-party service at mega-api-prod.nemovideo.ai. Confirm you trust that service and understand its privacy/retention policy before uploading private content.
- The skill declares NEMO_TOKEN as required but will create an anonymous token if none is present — it will contact the backend even if you don't provide credentials.
- The runtime instructions ask the agent to check local paths (~/.clawhub/, ~/.cursor/skills/) to set an attribution header. That filesystem probing is outside the core editing need and may reveal information about your local setup.
Recommendations:
- Try with non-sensitive test footage first.
- Do not provide high-privilege secrets or unrelated environment variables. Only set NEMO_TOKEN if you understand where it came from and what permissions it grants.
- If you need a formal assurance, ask the publisher for a privacy policy, an official homepage, and documentation about retention and who can access uploaded media. If those are absent or the service is unfamiliar, avoid uploading confidential content.
What would change this assessment: presence of code files or a reputable homepage/docs for the backend (which would allow verification of endpoints), or removal/justification of the filesystem checks and metadata config path would move this toward benign confidence.
功能分析
Type: OpenClaw Skill
Name: video-editing-with-davinci
Version: 1.0.0
The skill provides a functional interface for a cloud-based video editing service hosted at nemovideo.ai. It manages authentication (including anonymous token generation), file uploads, and remote rendering sessions via standard REST and SSE APIs. While it interacts with local environment variables (NEMO_TOKEN) and configuration paths (~/.config/nemovideo/), these actions are explicitly declared and necessary for its stated purpose. No evidence of data exfiltration, unauthorized command execution, or malicious prompt injection was found.
能力评估
Purpose & Capability
The skill claims to perform cloud-based DaVinci-style editing and asks only for a single token (NEMO_TOKEN), which fits the purpose. However the metadata also declares a config path (~/.config/nemovideo/) that isn't needed for basic upload/edit/export flows, and the SKILL.md documents generating an anonymous token when NEMO_TOKEN is absent despite NEMO_TOKEN being listed as required — this is an inconsistency between declared requirements and runtime behavior.
Instruction Scope
Instructions direct the agent to upload user video files to a third-party API (mega-api-prod.nemovideo.ai), open SSE streams, poll session/state endpoints, and include Authorization headers. Additionally, the runtime instructions tell the agent to detect install path by reading local filesystem locations (~/.clawhub/, ~/.cursor/skills/) to set an X-Skill-Platform header and to read this skill's YAML frontmatter at runtime. Those filesystem checks are outside the core editing task and expand the scope of what the agent will read from the user's environment.
Install Mechanism
Instruction-only skill with no install steps and no code files — nothing will be written to disk by an installer. This is lower-risk for arbitrary code installation.
Credentials
Only one credential (NEMO_TOKEN) is declared as required, which is proportional for a cloud editing service. However the SKILL.md will request an anonymous token from the backend if NEMO_TOKEN is not present (implying it does not strictly require pre-provisioned credentials), and the metadata's requested config path could expose local config data unnecessarily. The skill will upload user media to a third-party domain — this is expected but has privacy implications.
Persistence & Privilege
The skill is not always-enabled and does not request elevated or persistent system privileges. It uses session tokens for operations but does not appear to modify other skills or system-wide configuration.
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-davinci - 安装完成后,直接呼叫该 Skill 的名称或使用
/video-editing-with-davinci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 DaVinci" skill.
- Instantly edit and export video clips using DaVinci-style tools via cloud backend.
- Supports seamless upload, editing, and 4K export of raw footage in 1–2 minutes.
- Automated user authentication with free starter credits—no manual token entry needed.
- Handles direct descriptions like “cut dead air, add color grading” for hands-off editing.
- Clear feedback and error handling for uploads, session state, credits, and exports.
- Compatible with major video, audio, and image formats up to 500MB.
元数据
常见问题
Video Editing With Davinci 是什么?
Turn a 3-minute DaVinci Resolve project export into 4K polished edited clips just by typing what you need. Whether it's editing and refining video timelines... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 110 次。
如何安装 Video Editing With Davinci?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-editing-with-davinci」即可一键安装,无需额外配置。
Video Editing With Davinci 是免费的吗?
是的,Video Editing With Davinci 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Video Editing With Davinci 支持哪些平台?
Video Editing With Davinci 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 Davinci?
由 susan4731-wilfordf(@susan4731-wilfordf)开发并维护,当前版本 v1.0.0。
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