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mhogan2013-9

Video Editing Ai Local

作者 mhogan2013-9 · 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 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
  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 video-editing-ai-local
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /video-editing-ai-local 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 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
Slug video-editing-ai-local
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

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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