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Text To Video H2h

作者 peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
127
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-h2h
功能描述
Get talking head video ready to post, without touching a single slider. Upload your text script (TXT, DOCX, PDF, plain text, up to 500MB), say something like...
安全使用建议
This skill is internally consistent with its purpose: it talks to the nemo video backend and asks only for NEMO_TOKEN (and can obtain an anonymous short‑lived token if you don't provide one). Before installing, consider: 1) there is no homepage or vendor listed—verify you trust mega-api-prod.nemovideo.ai and that you are comfortable uploading content to that service; 2) the skill will make network calls to mint tokens and to upload/download media — do not provide other unrelated credentials; 3) the SKILL.md frontmatter mentions a local config path (~/.config/nemovideo/) even though registry metadata did not—if you are concerned, check whether the agent will write tokens or files to disk and where; 4) if you have a paid or enterprise account, prefer supplying your own NEMO_TOKEN rather than relying on the anonymous token fallback; and 5) review your data/ privacy policy for the provider before sending sensitive scripts or media. If you want higher assurance, ask for the skill's source or an audited publisher and for details about where (and how long) uploaded media and tokens are stored.
功能分析
Type: OpenClaw Skill Name: text-to-video-h2h Version: 1.0.0 The skill is a legitimate integration for a text-to-video service using the nemovideo.ai API. It handles authentication via a NEMO_TOKEN, manages user sessions, and facilitates file uploads and video rendering as described. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; all network activities and file handlings are consistent with the stated purpose of generating AI presenter videos.
能力评估
Purpose & Capability
Name and description match the runtime instructions: the skill talks to mega-api-prod.nemovideo.ai to create sessions, upload scripts, render videos and return a download URL. Requesting NEMO_TOKEN (the service token) is proportionate to the stated purpose.
Instruction Scope
SKILL.md instructs the agent to: check for NEMO_TOKEN, or else POST to the service's /api/auth/anonymous-token endpoint to acquire a short‑lived anonymous token; create a session, send SSE messages, upload files (multipart or URL), poll render status, and download results. Those actions are within scope for a cloud render client, but they do involve network calls to an external endpoint and processing user-uploaded files. The instructions also say not to expose tokens or raw API output, which is good. One minor note: the SKILL frontmatter includes a config path (~/.config/nemovideo/) even though the registry metadata listed none—this is inconsistent and may imply optional local config usage.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing will be written to disk by an installer. Lowest-risk install mechanism.
Credentials
Only a single service credential (NEMO_TOKEN) is declared as required and used. The skill also implements a fallback to mint an anonymous token via the provider API if no token is present; that behavior is consistent with a service client but means the skill can obtain and use short‑lived credentials on behalf of the agent.
Persistence & Privilege
always is false and the skill does not request elevated platform privileges. The skill describes creating and using a session token for the provider but does not attempt to modify other skills or system-wide settings in the provided instructions.
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-h2h
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /text-to-video-h2h 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: Human to Human - Instantly turn text scripts (TXT, DOCX, PDF, up to 500MB) into 1080p MP4 talking head videos with a realistic AI presenter. - No manual sliders or video skills required — just upload your script, give a prompt, and download. - Cloud rendering pipeline: automatic session setup, secure anonymous token, and credit system (100 free credits, 7-day expiry for new users). - Clear, step-by-step workflows for uploading, editing, exporting, and tracking project state. - Supports batch processing, iterative refinement, various formats (mp4, mov, avi, webm, etc.), and fast turnaround (typically 1–3 minutes per video). - Helpful error handling, tips, and self-service troubleshooting included.
元数据
Slug text-to-video-h2h
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 H2h 是什么?

Get talking head video ready to post, without touching a single slider. Upload your text script (TXT, DOCX, PDF, plain text, up to 500MB), say something like... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 127 次。

如何安装 Text To Video H2h?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install text-to-video-h2h」即可一键安装,无需额外配置。

Text To Video H2h 是免费的吗?

是的,Text To Video H2h 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Text To Video H2h 支持哪些平台?

Text To Video H2h 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 H2h?

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

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