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To Maker Generator
作者
mhogan2013-9
· GitHub ↗
· v1.0.0
· MIT-0
58
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install to-maker-generator
功能描述
Turn a 60-second raw clip or series of short recordings into 1080p finished video files just by typing what you need. Whether it's converting raw clips into...
安全使用建议
This skill appears to be a straightforward cloud video-renderer, but there are mismatches you should clear up before installing: (1) The skill registry says NEMO_TOKEN is required, yet SKILL.md will generate an anonymous token if NEMO_TOKEN is missing — ask the publisher which is correct and whether anonymous tokens are appropriate for your use. (2) Confirm where session tokens are stored (in-memory vs written to disk) and whether ~/.config/nemovideo/ will be created or read. (3) Review privacy: uploads are sent to mega-api-prod.nemovideo.ai — do not send sensitive or private videos until you trust the service and its privacy terms. (4) Test with throwaway content and, if possible, a throwaway or limited-scope API token to confirm behavior. (5) Ask the author for a homepage/source and a published privacy/terms page; the skill's source is unknown which increases risk. If you cannot get clear answers to the above, treat installation with caution or avoid it.
功能分析
Type: OpenClaw Skill
Name: to-maker-generator
Version: 1.0.0
The skill is a legitimate integration for the NemoVideo AI service, providing automated video editing via a cloud-based GPU pipeline. It handles authentication, file uploads to 'mega-api-prod.nemovideo.ai', and session management as described in its documentation. No evidence of data exfiltration, unauthorized access, or malicious intent was found; the instructions focus on correctly interfacing with the service's API and maintaining session state.
能力评估
Purpose & Capability
The skill claims to be a cloud video-renderer and references a single service (nemovideo). That purpose aligns with the API endpoints and upload/export flows in SKILL.md. However, the registry metadata lists NEMO_TOKEN as a required environment variable, while the runtime instructions explicitly say to generate an anonymous token if NEMO_TOKEN is not present. Also the SKILL.md frontmatter includes a config path (~/.config/nemovideo/) that the registry metadata did not list. These mismatches between declared requirements and the instructions are incoherent and worth clarifying.
Instruction Scope
Instructions direct the agent to perform network calls to mega-api-prod.nemovideo.ai, upload user-supplied files (multipart or by URL), establish sessions, send SSE streams, and poll for render status — all expected for this purpose. The skill does not instruct reading unrelated system files or unrelated credentials, but it does instruct auto-detection of an install path for the X-Skill-Platform header and to 'keep' session_id for subsequent operations (ambiguous where/session state is stored). It also explicitly warns not to expose tokens. Overall instructions are within the expected scope but contain small ambiguities about local state handling and header auto-detection.
Install Mechanism
There is no install spec and no code files; this is an instruction-only skill. That minimizes disk footprint and install-time risk.
Credentials
The only credential declared is NEMO_TOKEN (primaryEnv) which fits the service. But SKILL.md allows obtaining an anonymous token via POST to /api/auth/anonymous-token when NEMO_TOKEN is not present, contradicting the registry declaration that NEMO_TOKEN is required. The frontmatter also declares a config path (~/.config/nemovideo/), which was not listed in the top-level metadata. These inconsistencies about what credentials/config are actually required are disproportionate to the stated single-API purpose because they create uncertainty about what secrets or files the skill will actually use or create.
Persistence & Privilege
The skill is not always-enabled and does not request special system privileges. It instructs the agent to 'keep the returned session_id for all operations' but doesn't specify whether this is in-memory only or persisted to disk/config. That ambiguity is worth clarifying because persistent storage of session tokens or anonymous credentials could have privacy implications for future runs.
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 to-maker-generator - 安装完成后，直接呼叫该 Skill 的名称或使用
/to-maker-generator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 To Maker Generator — fast cloud video clip conversion skill.
- Transform raw or short video clips into polished 1080p MP4s by describing your desired output.
- No timeline editing or manual exports—just upload and specify what you want.
- Handles uploads, fast cloud rendering, and returns a download link in 1-2 minutes for clips under 2 minutes.
- Automatic setup with token generation; notifies user when ready.
- Supports credits checking, state/status queries, and direct export/download.
- Includes error handling, format support (mp4, mov, avi, webm, etc.), and workflow tips.
元数据
常见问题
To Maker Generator 是什么？
Turn a 60-second raw clip or series of short recordings into 1080p finished video files just by typing what you need. Whether it's converting raw clips into... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 58 次。
如何安装 To Maker Generator？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install to-maker-generator」即可一键安装，无需额外配置。
To Maker Generator 是免费的吗？
是的，To Maker Generator 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
To Maker Generator 支持哪些平台？
To Maker Generator 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 To Maker Generator？
由 mhogan2013-9（@mhogan2013-9）开发并维护，当前版本 v1.0.0。
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