← 返回 Skills 市场
mory128

Video Maker Free From Text

作者 mory128 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
63
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-maker-free-from-text
功能描述
Turn a 150-word product description into 1080p AI-generated videos just by typing what you need. Whether it's generating videos from written content or scrip...
安全使用建议
This skill appears to implement a legitimate text→video API, but there are inconsistencies you should clear up before installing. Questions to ask the publisher or verify yourself: 1) Why does registry metadata claim no config paths while the SKILL.md frontmatter references ~/.config/nemovideo/? Will the skill read or write that directory? 2) Is NEMO_TOKEN truly required, or can the agent operate using the anonymous-token flow described? If you must provide a permanent NEMO_TOKEN, prefer a scoped/test token. 3) Where will session_id and tokens be saved (in-memory only, or persisted to disk)? 4) Why does the skill detect local install paths to set X-Skill-Platform headers — what data does that reveal? Until you get clear answers, avoid supplying credentials tied to real/production accounts and, if possible, test with throwaway content and a throwaway token. If you need help drafting a clarification request to the publisher, I can help.
能力评估
Purpose & Capability
Name/description (convert text to video) match the API endpoints and workflows in SKILL.md. However, registry metadata lists no config paths while the SKILL.md frontmatter declares a ~/.config/nemovideo/ path; the skill also declares NEMO_TOKEN as required but the instructions include an anonymous-token flow, so the declared requirements and the runtime instructions are inconsistent.
Instruction Scope
Instructions stay within video-creation tasks (session creation, SSE streaming, upload, export, polling). They explicitly instruct uploads from local paths and saving session_id/token from the API responses (which is relevant to operation), and require adding custom attribution headers. No instructions ask for unrelated files or unrelated environment variables, but the agent is told to detect install paths (~/.clawhub, ~/.cursor/skills) to set an X-Skill-Platform header—this probing of local install paths is unexpected and unnecessary for the stated task.
Install Mechanism
Instruction-only skill with no install spec and no code files — low install risk. Nothing is downloaded or written by an installer by default.
Credentials
The skill declares a single primary credential (NEMO_TOKEN), which is appropriate for an API-backed service — but SKILL.md provides an anonymous-token flow when NEMO_TOKEN is not present, so listing NEMO_TOKEN as 'required' is disproportionate or misleading. The frontmatter's mention of a config path (~/.config/nemovideo/) (not present in registry metadata) suggests possible access to local credential/config stores; that mismatch is concerning and unexplained.
Persistence & Privilege
always:false and no special privileges are requested. The instructions tell the agent to 'save session_id' and to obtain/store tokens; it's not explicit where or for how long these are persisted. The skill does not request to modify other skills or system-wide settings.
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-maker-free-from-text
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /video-maker-free-from-text 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 — instantly turn text prompts into shareable videos. - Convert up to 150-word product descriptions into 1080p AI-generated videos, ready in 1–2 minutes. - Supports quick edits, batch processing, iterative tweaks, and direct file uploads. - No timeline editing or export settings needed: just describe your result for automatic video creation. - Built-in free token system: anonymous users get 100 credits valid for 7 days. - Exports available in MP4 and other common formats; progress and status handled automatically. - Error handling covers token issues, credit shortages, file problems, and rate limits.
元数据
Slug video-maker-free-from-text
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 Maker Free From Text 是什么?

Turn a 150-word product description into 1080p AI-generated videos just by typing what you need. Whether it's generating videos from written content or scrip... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 63 次。

如何安装 Video Maker Free From Text?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-maker-free-from-text」即可一键安装,无需额外配置。

Video Maker Free From Text 是免费的吗?

是的,Video Maker Free From Text 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Video Maker Free From Text 支持哪些平台?

Video Maker Free From Text 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 Maker Free From Text?

由 mory128(@mory128)开发并维护,当前版本 v1.0.0。

💬 留言讨论