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Text To Video Json Prompt

作者 francemichaell-15 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
91
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0
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当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-json-prompt
功能描述
Skip the learning curve of professional editing software. Describe what you want — generate a 15-second video from this JSON prompt describing a sunset beach...
安全使用建议
This skill appears to do what it says: it talks to a third-party rendering API and uploads files for server-side video creation. Before installing/using it, consider: (1) the NEMO_TOKEN is a bearer secret — do not supply a token you use elsewhere; prefer the anonymous-token flow if you don't trust the service, (2) anything you upload (videos, images, JSON) will go to mega-api-prod.nemovideo.ai — check the service's privacy/retention policy or avoid uploading sensitive content, (3) the skill may probe a couple of standard install paths to set an attribution header — if you are uncomfortable with filesystem probing, decline or ask for a version that doesn't do that, and (4) because the skill's source and homepage are unknown, you may want to test with throwaway data/tokens first. If you can obtain documentation or a known, trusted homepage for the nemovideo service, that would raise confidence; conversely, if the API domain or anonymous-token endpoint is untrusted or the skill asked for unrelated credentials, reassess and treat as suspicious.
功能分析
Type: OpenClaw Skill Name: text-to-video-json-prompt Version: 1.0.0 The skill is a functional integration for the NemoVideo AI service, enabling an agent to generate videos from text or structured data (JSON, CSV, etc.). It provides detailed instructions for the agent to manage authentication via the `NEMO_TOKEN` environment variable or an anonymous token, handle session states, and interact with the `mega-api-prod.nemovideo.ai` API. The logic is consistent with the stated purpose of video generation and does not exhibit signs of data exfiltration, unauthorized execution, or malicious prompt injection.
能力评估
Purpose & Capability
The name/description (generate videos from text/JSON) aligns with the requested credential (NEMO_TOKEN) and the SKILL.md describes API endpoints for creating sessions, uploading files, and rendering. The declared config path (~/.config/nemovideo/) is plausible for storing session/state and matches the skill's purpose. No unrelated environment variables or unrelated binaries are requested.
Instruction Scope
SKILL.md gives explicit runtime steps (acquire anonymous token if needed, create session, send SSE, upload multipart files up to 500MB, poll render endpoint). These are within the skill's scope. One minor scope note: it instructs deriving an X-Skill-Platform header by detecting install paths (e.g., checking ~/.clawhub/ or ~/.cursor/skills/), which implies the agent may probe the user's home directory for those paths; this is limited but is extra filesystem access beyond purely network calls. The instructions also require sending user files to the external API — expected but privacy-relevant.
Install Mechanism
There is no install specification and no code files; this is instruction-only. That minimizes on-disk changes and execution of third-party code from arbitrary URLs, which is the lower-risk option for skills.
Credentials
Only one required environment variable (NEMO_TOKEN) is declared and used as the bearer token for the service. The SKILL.md even documents an anonymous-token flow to obtain a short-lived token, which explains why a token is needed. No unrelated secrets or multiple credentials are requested.
Persistence & Privilege
The skill is not force-enabled (always:false) and does not request elevated platform privileges. It instructs saving a session_id from the API but does not mandate writing persistent system-wide configuration or modifying other skills. Autonomous invocation is allowed by platform default but not a standalone concern here.
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 text-to-video-json-prompt
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /text-to-video-json-prompt 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 text-to-video-json-prompt skill. - Generate 15-second AI videos from natural language or structured (JSON, TXT, CSV, YAML) prompts; ideal for developers and content creators. - Automatic setup with free token support for up to 100 credits, no installation required. - Supports input upload up to 500MB and video export in multiple formats (mp4, mov, avi, webm, etc.). - Integrated cloud GPU rendering pipeline with workflows for editing, batch processing, and iterative refinement. - Clear guidance for command routing and error handling included.
元数据
Slug text-to-video-json-prompt
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

Text To Video Json Prompt 是什么?

Skip the learning curve of professional editing software. Describe what you want — generate a 15-second video from this JSON prompt describing a sunset beach... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 91 次。

如何安装 Text To Video Json Prompt?

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

Text To Video Json Prompt 是免费的吗?

是的,Text To Video Json Prompt 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Text To Video Json Prompt 支持哪些平台?

Text To Video Json Prompt 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 Text To Video Json Prompt?

由 francemichaell-15(@francemichaell-15)开发并维护,当前版本 v1.0.0。

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