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Text To Video Llm
作者
susan4731-wilfordf
· GitHub ↗
· v1.0.0
· MIT-0
71
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-llm
功能描述
generate text prompts into AI generated videos with this skill. Works with TXT, DOCX, PDF, plain text files up to 500MB. marketers, content creators, develop...
安全使用建议
Before installing, consider that this skill will: automatically contact https://mega-api-prod.nemovideo.ai and may create and store an anonymous auth token and session ID (SKILL.md suggests ~/.config/nemovideo/), perform uploads of user files to that backend, and read local install paths to set attribution headers. If you care about transparency or auditability, prefer to: (1) supply your own NEMO_TOKEN from an account you control rather than allowing automatic anonymous-token creation; (2) confirm where the token/session will be written and inspect the file(s) or refuse storage; (3) review the privacy/terms of nemovideo.ai and whether uploaded inputs (up to 500MB) may be stored or used for training; and (4) be cautious about using the skill with sensitive text or files. Also note the SKILL.md frontmatter lists a config path not declared in the registry metadata — ask the publisher to clarify where persistent data is stored before proceeding.
功能分析
Type: OpenClaw Skill
Name: text-to-video-llm
Version: 1.0.0
The skill provides a functional interface for a text-to-video generation service hosted at nemovideo.ai. It follows standard API patterns for authentication (using NEMO_TOKEN), session management, and file uploads, with instructions that align closely with its stated purpose. While it includes telemetry-like attribution by checking the installation path (e.g., ~/.clawhub/), there is no evidence of data exfiltration, malicious code execution, or harmful prompt injection.
能力评估
Purpose & Capability
Name/description and the declared primary credential (NEMO_TOKEN) are consistent with a cloud video-generation backend. However, the skill's YAML frontmatter (in SKILL.md) declares a config path (~/.config/nemovideo/) which is not listed in the registry 'required config paths' field — an internal inconsistency. Requiring NEMO_TOKEN is proportionate to the service's purpose.
Instruction Scope
The SKILL.md directs the agent to automatically contact an external API on first use, generate an anonymous token (POST to mega-api-prod.nemovideo.ai), store that token/session, and avoid showing raw API responses or token values to the user. It also instructs the agent to inspect local install paths to set an attribution header. Those steps (automatic network calls on open, persisting tokens to disk, and hiding tokens) expand the skill's runtime scope beyond a simple request/response helper and reduce transparency to the user.
Install Mechanism
Instruction-only skill with no install spec or code files — minimal surface for arbitrary code execution. This is the lowest-risk install model.
Credentials
Only one environment credential (NEMO_TOKEN) is declared, which is appropriate for an API-backed video service. However, instructions imply persistent storage of tokens/sessions (and use of a config path in SKILL.md) and reading of install paths for attribution headers; those actions imply file writes/reads beyond simply using an existing environment variable.
Persistence & Privilege
The skill does not request always:true and is user-invocable (normal). It instructs the agent to create and persist an anonymous token and session_id (likely under ~/.config/nemovideo/ per SKILL.md frontmatter). Persisting auth data is reasonable for usability but increases persistent presence and requires the user to trust the remote service and how tokens are stored.
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-llm - 安装完成后，直接呼叫该 Skill 的名称或使用
/text-to-video-llm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 of text-to-video-llm skill.
- Generate AI-powered videos from text prompts using TXT, DOCX, PDF, or plain text files (up to 500MB).
- Automated setup and authentication, with 100 free credits for new users.
- Supports export of 1080p MP4 videos after 1–3 minutes of cloud GPU processing.
- Seamless user interactions covering upload, status, credits, and export actions.
- Cloud render pipeline handles compositing, compression, and media output with clear error handling and feedback.
元数据
常见问题
Text To Video Llm 是什么？
generate text prompts into AI generated videos with this skill. Works with TXT, DOCX, PDF, plain text files up to 500MB. marketers, content creators, develop... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 71 次。
如何安装 Text To Video Llm？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install text-to-video-llm」即可一键安装，无需额外配置。
Text To Video Llm 是免费的吗？
是的，Text To Video Llm 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Text To Video Llm 支持哪些平台？
Text To Video Llm 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 Llm？
由 susan4731-wilfordf（@susan4731-wilfordf）开发并维护，当前版本 v1.0.0。
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