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Video Editing Ai Local
作者
mhogan2013-9
· GitHub ↗
· v1.0.0
· MIT-0
72
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-editing-ai-local
功能描述
edit raw video footage into edited MP4 clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. privacy-conscious creators and indie filmmake...
安全使用建议
This skill advertises 'local' and 'privacy-conscious' editing but will upload your videos and metadata to nemovideo.ai and requires a NEMO_TOKEN (or will mint an anonymous token). Before installing or using it, consider: 1) Do not send sensitive or private footage unless you trust the remote service and its retention/privacy policies. 2) Prefer generating an anonymous token if you want limited exposure, but anonymous tokens still upload your files to the cloud. 3) Ask the publisher for a homepage, privacy policy, and data retention details — none are provided here. 4) Note the metadata mismatch: SKILL.md references a local config path and reading install paths (filesystem access) even though the registry said no config paths. 5) If you have an account token (NEMO_TOKEN), treat it as sensitive — only provide it if you trust the service. If you expected a true local-only editor, do not use this skill; it's cloud-backed. If you proceed, monitor network activity and uploads and avoid sending sensitive content until you verify the vendor and policies.
功能分析
Type: OpenClaw Skill
Name: video-editing-ai-local
Version: 1.0.0
The skill exhibits deceptive behavior by claiming to be a 'Local AI' video editor that works 'without uploading to cloud services' for 'privacy-conscious creators,' while the implementation instructions explicitly require uploading user footage to a remote API (mega-api-prod.nemovideo.ai) and processing it on cloud GPUs. While no direct evidence of credential theft or system-level backdoors was found in SKILL.md, the fundamental contradiction between the privacy claims and the data-exfiltration-by-design (uploading raw footage to a third party) constitutes a significant security and privacy risk via social engineering.
能力评估
Purpose & Capability
The display text repeatedly claims 'local AI' and 'without uploading to cloud services', yet every runtime instruction posts files and messages to https://mega-api-prod.nemovideo.ai and starts cloud GPU render jobs. Requiring an API token (NEMO_TOKEN) makes sense for a cloud service but contradicts the 'local' promise. Also the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata showed no required config paths — a mismatch.
Instruction Scope
Runtime instructions instruct the agent to: generate anonymous tokens if NEMO_TOKEN missing, create sessions, upload files, stream SSE, poll render status, and include attribution headers. These steps entail uploading user videos and metadata to a remote service. The instructions also tell the agent to read runtime frontmatter and detect install path to set an attribution header (reading filesystem). There is no instruction-only local processing; everything routes to the cloud.
Install Mechanism
No install spec or code files are present — lowest installation risk. The skill is instruction-only, so nothing is written to disk by an installer. The risk comes from network operations described in the instructions, not from installation.
Credentials
The skill requires a single credential (NEMO_TOKEN), which is appropriate for a cloud API, but is disproportionate relative to the 'local' claim. SKILL.md also references a local config path (~/.config/nemovideo/) and instructs reading an install path for attribution headers — these filesystem accesses are not clearly justified. The token grants access to the remote render API and should be considered sensitive.
Persistence & Privilege
The skill does not request always: true and does not attempt to modify other skills or system-wide settings. It instructs the agent to create and save session IDs and use ephemeral/anonymous tokens; this is expected for a session-based cloud service. Note: jobs may continue server-side after a client disconnect (orphaned renders).
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-ai-local - 安装完成后,直接呼叫该 Skill 的名称或使用
/video-editing-ai-local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 AI Local — fast, privacy-conscious video editing with AI on your own hardware.
- Edit raw video files (MP4, MOV, AVI, WebM, up to 500MB) into 1080p MP4 clips locally—no cloud upload.
- Easy setup: auto-generate free anonymous tokens or use your own NEMO_TOKEN.
- Works via chat—just upload video files and describe your edit (trim silences, add transitions, etc.).
- Session-based editing keeps your timeline and state for iterative adjustments.
- Provides helpful status updates, matching user prompts to actions like export, balance check, or uploading.
- Supports privacy-minded creators and indie filmmakers looking to avoid cloud-based workflows.
元数据
常见问题
Video Editing Ai Local 是什么?
edit raw video footage into edited MP4 clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. privacy-conscious creators and indie filmmake... 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 Video Editing Ai Local?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-editing-ai-local」即可一键安装,无需额外配置。
Video Editing Ai Local 是免费的吗?
是的,Video Editing Ai Local 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Video Editing Ai Local 支持哪些平台?
Video Editing Ai Local 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 Ai Local?
由 mhogan2013-9(@mhogan2013-9)开发并维护,当前版本 v1.0.0。
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