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Video Factory
作者
francemichaell-15
· GitHub ↗
· v1.0.0
· MIT-0
44
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当前安装
1
版本数
在 OpenClaw 中安装
/install video-factory
功能描述
create raw video clips into finished MP4 videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators and marketers use it for...
安全使用建议
This skill will upload any videos you give it to a third‑party service at mega-api-prod.nemovideo.ai and use a NEMO_TOKEN to authenticate. Before installing: 1) Confirm the service/domain is legitimate and acceptable for your content (privacy/legal). 2) Ask the skill author to clarify: why is NEMO_TOKEN labeled 'required' when an anonymous token flow exists, and why does the frontmatter reference ~/.config/nemovideo/ and 'auto-detect' of install path? 3) If you don't want to tie this to an account, avoid setting a persistent NEMO_TOKEN and rely on the anonymous flow, but know anonymous tokens still grant the service access to uploads. 4) Do not use with sensitive or confidential videos until you verify the provider's data retention/privacy policy. 5) If possible, test with non-sensitive sample media first and monitor network requests. If the author cannot explain the config-path / install-path reads or the required-env mismatch, treat the skill cautiously.
功能分析
Type: OpenClaw Skill
Name: video-factory
Version: 1.0.0
The video-factory skill is a functional integration for a cloud-based video processing service (nemovideo.ai). It provides clear instructions for the agent to manage API authentication, session state, and video rendering workflows. While it performs network requests to external endpoints (mega-api-prod.nemovideo.ai) and handles user-provided files, these actions are strictly aligned with its stated purpose. The skill includes security-conscious instructions, such as advising the agent not to print raw tokens or JSON to the user.
能力评估
Purpose & Capability
The skill's stated purpose (batch video processing via a cloud API) aligns with the endpoints and flows in SKILL.md. Requesting a NEMO_TOKEN credential is reasonable for that purpose. However, the frontmatter references a local config path (~/.config/nemovideo/) that the registry metadata did not list, and the SKILL.md both treats NEMO_TOKEN as 'required' and documents an anonymous-token flow — those are inconsistent and deserve explanation.
Instruction Scope
The instructions direct the agent to upload user-supplied video files to https://mega-api-prod.nemovideo.ai and to create/use session tokens — that is expected for a cloud render service but is a material privacy action (user files leave the machine). The SKILL.md also requires adding attribution headers where one header value is 'auto-detect: install path' (X-Skill-Platform), which implies the agent may need to inspect its installation path or environment; this is not documented elsewhere and could cause unexpected filesystem or environment reads. The doc explicitly says not to print tokens/raw JSON, which is good, but the scope of file/env access should be clarified.
Install Mechanism
Instruction-only skill with no install spec or code files — lowest install risk. Nothing will be downloaded or written to disk by an install step.
Credentials
The registry lists NEMO_TOKEN as a required environment variable / primary credential, which makes sense for a service token. But the SKILL.md also documents an anonymous-token flow (generate UUID → POST anonymous-token) if NEMO_TOKEN is not set. Declaring NEMO_TOKEN as required while providing an anonymous fallback is inconsistent and should be corrected. No other secrets are requested, which is proportionate to the task.
Persistence & Privilege
The skill does not request 'always' presence and does not include install-time persistence. The only potential privileged action is the implied need to read an install path and a local config path (frontmatter), which could give it access to files under ~/.config/nemovideo/ or to the agent's install location — the purpose of those reads is not explained.
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-factory - 安装完成后，直接呼叫该 Skill 的名称或使用
/video-factory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
Video Factory 1.0.0 — Initial Release
- Launches a batch video production tool for combining, editing, and exporting video clips up to 500MB.
- Supports MP4, MOV, AVI, and WebM input, exporting polished 1080p MP4 videos in 1-2 minutes.
- Simple upload, edit, and export workflows; automatically manages sessions and cloud GPU processing.
- Integrates free token retrieval for new users and seamless session handling.
- Offers clear user prompts for actions like uploads, exports, credit checks, and timeline status.
- Displays concise progress/status updates and handles backend errors with helpful guidance.
元数据
常见问题
Video Factory 是什么？
create raw video clips into finished MP4 videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators and marketers use it for... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 44 次。
如何安装 Video Factory？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-factory」即可一键安装，无需额外配置。
Video Factory 是免费的吗？
是的，Video Factory 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Video Factory 支持哪些平台？
Video Factory 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 Factory？
由 francemichaell-15（@francemichaell-15）开发并维护，当前版本 v1.0.0。
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