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Text To Video Explainer Ai

作者 peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
81
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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-explainer-ai
功能描述
Skip the learning curve of professional editing software. Describe what you want — turn this script into an animated explainer video with voiceover and subti...
安全使用建议
This skill appears to do what it says: upload your script/media to the nemovideo.ai backend, create a temporary session, and return a rendered video. Before installing, consider: (1) You will be sending your text and any uploaded files to mega-api-prod.nemovideo.ai — verify you are comfortable sharing that content and check the service's privacy/data retention policy. (2) The registry metadata and the SKILL.md disagree slightly: the registry marks NEMO_TOKEN as required but the skill can obtain an anonymous token automatically; decide whether you prefer setting your own token or allowing the skill to request an anonymous one. (3) The frontmatter mentions a local config path (~/.config/nemovideo/) and asks to read YAML frontmatter for attribution — this is limited and not high risk, but be aware the skill may read its own metadata and detect install path strings. If you need stronger guarantees, ask the skill author for a privacy policy or a link to the service's terms and to clarify whether any local files will be accessed.
功能分析
Type: OpenClaw Skill Name: text-to-video-explainer-ai Version: 1.0.0 The skill is a legitimate integration for a text-to-video generation service hosted at nemovideo.ai. It follows standard patterns for API interaction, including anonymous token acquisition, session management, and file uploads. The instructions in SKILL.md correctly guide the agent to handle authentication securely (hiding tokens from the user) and map backend responses to specific API actions without evidence of data exfiltration, unauthorized execution, or malicious prompt injection.
能力评估
Purpose & Capability
The name/description (text→video explainer) align with the required credential (NEMO_TOKEN) and the documented API endpoints on mega-api-prod.nemovideo.ai. The skill's network activity (uploading scripts/media, render/export endpoints, credits check) is expected for this functionality.
Instruction Scope
SKILL.md instructs the agent to obtain or use a NEMO_TOKEN, create a session, upload files, stream SSE responses, and poll render status — all consistent with a cloud render pipeline. It also directs the agent to read its own YAML frontmatter for attribution and to detect an install path string for a header. Those actions are limited to the skill itself and the documented backend; there are no instructions to read unrelated system files or unrelated environment variables. The frontmatter also mentions a local config path (~/.config/nemovideo/), but the runtime steps do not clearly justify inspecting or using that directory.
Install Mechanism
This is instruction-only with no install spec or third-party downloads, so nothing is written to disk by an installer — lowest risk for install mechanism.
Credentials
Only one credential (NEMO_TOKEN) is declared as the primary credential, which is reasonable for a single-service integration. However, SKILL.md also explains how to automatically obtain an anonymous token if NEMO_TOKEN is not set — this makes the credential effectively optional despite registry metadata listing it as required. The frontmatter references a config path (~/.config/nemovideo/) that is not declared in the registry's required config paths, creating a small metadata inconsistency.
Persistence & Privilege
The skill is not marked always:true and does not request system-wide privileges. It asks to store a session_id for subsequent API calls (normal session state) but does not request long-term or cross-skill configuration changes.
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-explainer-ai
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /text-to-video-explainer-ai 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 convert scripts into animated explainer videos with cloud-powered AI. - Upload TXT, DOCX, PDF, or SRT files (up to 50MB) to generate explainer videos with voiceover and subtitles. - No video editing experience required—describe your requirements and receive a downloadable MP4 in 1–2 minutes. - Includes automatic session management, free token generation, and simple credit system (100 free credits for new users). - Supports export, credit checking, file uploads, timeline previews, and cloud rendering—all managed via clear, automated workflows. - Ideal for marketers, educators, and founders seeking fast, professional explainer videos without manual editing.
元数据
Slug text-to-video-explainer-ai
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 Explainer Ai 是什么?

Skip the learning curve of professional editing software. Describe what you want — turn this script into an animated explainer video with voiceover and subti... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 81 次。

如何安装 Text To Video Explainer Ai?

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

Text To Video Explainer Ai 是免费的吗?

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

Text To Video Explainer Ai 支持哪些平台?

Text To Video Explainer Ai 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 Explainer Ai?

由 peandrover adam(@peand-rover)开发并维护,当前版本 v1.0.0。

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