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Text To Video Open Source
作者
francemichaell-15
· GitHub ↗
· v1.0.0
· MIT-0
89
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-open-source
功能描述
Skip the learning curve of professional editing software. Describe what you want — generate a 15-second video clip from this scene description: a fox running...
安全使用建议
This skill appears to be what it claims: it will send your text and any uploaded files (up to 500MB) to the nemovideo API and needs a NEMO_TOKEN to authenticate. Before installing, consider: 1) any files you upload will be transmitted to an external service — do not upload sensitive/private data unless you trust the provider; 2) if you don't set NEMO_TOKEN, the skill will request an anonymous token from the nemovideo endpoint automatically (i.e., it will make outbound network calls); 3) the skill may store session/token data under ~/.config/nemovideo/ per its metadata — review or clear that directory if you later uninstall; and 4) prefer providing your own NEMO_TOKEN (and verify the nemo domain) rather than relying on anonymous tokens. If you need higher assurance, ask the skill author for a privacy/data-retention policy or test with non-sensitive content first.
功能分析
Type: OpenClaw Skill
Name: text-to-video-open-source
Version: 1.0.0
The skill bundle is a functional integration for a video generation service hosted at nemovideo.ai. The SKILL.md file provides instructions for the agent to manage authentication via an anonymous token flow, handle session state, and interact with specific API endpoints for video processing and export. There is no evidence of data exfiltration, unauthorized system access, or malicious prompt injection; the behavior is consistent with the stated purpose of providing a text-to-video interface.
能力评估
Purpose & Capability
Name/description promise (generate short videos from text) matches the declared requirement (NEMO_TOKEN) and the SKILL.md lists API endpoints for session creation, SSE chat, upload, and export which are all appropriate for a cloud render/video service.
Instruction Scope
Instructions direct the agent to create sessions, use SSE for generation, upload user files up to 500MB, and poll export endpoints — all expected. The SKILL.md also instructs creating an anonymous token (POST to the nemovideo anonymous-token endpoint) when NEMO_TOKEN is absent; this is a legitimate fallback but means the skill will call an external API autonomously if no token is provided. The doc also uses install-path detection to set attribution headers, which requires access to the agent's install path.
Install Mechanism
No install spec or code files are provided (instruction-only), so there is no package download or arbitrary code install risk from this skill itself.
Credentials
The single required env var (NEMO_TOKEN) is appropriate for an API-backed video service. Minor inconsistency: requires.env lists NEMO_TOKEN but the runtime instructions include an explicit fallback that fetches an anonymous token if NEMO_TOKEN is missing. Metadata also declares a config path (~/.config/nemovideo/) which may be used to store session/token data — plausible but worth noting.
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and does not require elevated system privileges. It may store or read its own config (implied) but nothing in the manifest indicates system-wide changes.
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 text-to-video-open-source - 安装完成后,直接呼叫该 Skill 的名称或使用
/text-to-video-open-source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: Generate 15-second AI videos from text prompts with open-source cloud rendering.
- Upload TXT, DOCX, PDF, SRT files up to 500MB and generate videos automatically.
- No editing software needed — describe your scene and receive a 1080p MP4 in 1–3 minutes.
- Cloud-based backend manages sessions, credits, and job tracking for seamless user experience.
- Supports multi-track video (visuals, audio, text overlays); handles updates and exports.
- Built-in error handling guides you if you hit file size, format, or export limitations.
元数据
常见问题
Text To Video Open Source 是什么?
Skip the learning curve of professional editing software. Describe what you want — generate a 15-second video clip from this scene description: a fox running... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 89 次。
如何安装 Text To Video Open Source?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install text-to-video-open-source」即可一键安装,无需额外配置。
Text To Video Open Source 是免费的吗?
是的,Text To Video Open Source 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Text To Video Open Source 支持哪些平台?
Text To Video Open Source 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 Open Source?
由 francemichaell-15(@francemichaell-15)开发并维护,当前版本 v1.0.0。
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