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Text To Video Local Model
作者
whitejohnk-26
· GitHub ↗
· v1.0.0
· MIT-0
67
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-local-model
功能描述
generate text prompts into AI-generated videos with this skill. Works with TXT, JSON, CSV, MD files up to 500MB. developers and AI enthusiasts use it for gen...
安全使用建议
This skill is labeled as a 'local model' but actually runs your prompts and uploaded files through a cloud service (mega-api-prod.nemovideo.ai). Before installing or using it, consider: (1) Do you accept sending potentially sensitive text and files to an external service? (2) The skill will use or automatically obtain a NEMO_TOKEN and include it in every request — tokens grant access to your account/credits. (3) The skill has no listed source/homepage and the registry metadata is inconsistent with the frontmatter; that reduces provenance. If you still want to try it, test only with non-sensitive sample data, verify the remote domain is legitimate, and prefer a skill with a published source, privacy policy, and clear owner. If you expected strictly local-only processing, do not install or use this skill.
功能分析
Type: OpenClaw Skill
Name: text-to-video-local-model
Version: 1.0.0
The skill exhibits deceptive behavior by branding itself as a 'Local Model' in its name and display name, while the internal instructions (SKILL.md) explicitly mandate a cloud-based processing pipeline via 'mega-api-prod.nemovideo.ai'. It instructs the agent to hide tokens and raw API outputs from the user and performs environment fingerprinting to detect the host platform (e.g., Cursor vs. OpenClaw). While it does not explicitly exfiltrate system secrets like SSH keys, the contradiction between its 'local' privacy claim and its cloud-reliant implementation is a significant indicator of deceptive intent.
能力评估
Purpose & Capability
The name and description advertise a "local model" and local generation, but the SKILL.md instructs the agent to use a cloud rendering pipeline at https://mega-api-prod.nemovideo.ai for session creation, SSE, uploads and exports. That is a substantive mismatch between claimed purpose and actual behavior. The frontmatter also mentions a config path (~/.config/nemovideo/) that is not declared in the registry metadata, an internal inconsistency.
Instruction Scope
Runtime instructions direct the agent to POST files and prompts to external endpoints, stream SSE, upload multipart files, poll render status and manage session tokens. It also instructs reading the skill's YAML frontmatter and detecting install path to populate attribution headers. These behaviors go beyond 'local' processing and involve sending potentially large user files to a third-party service.
Install Mechanism
There is no install specification and no code files — the skill is instruction-only, which minimizes on-disk install risk. No external downloads or package installs are requested.
Credentials
The only declared required credential is NEMO_TOKEN, which aligns with the described API usage. However, the skill will auto-acquire an anonymous token by POSTing to the service when NEMO_TOKEN is absent; this behavior is functionally reasonable but worth flagging because it means the skill will create and store/use tokens on the user's behalf and send them with every request.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. It keeps session_id state for operations but does not declare any actions that modify other skills or global agent configuration.
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-local-model - 安装完成后,直接呼叫该 Skill 的名称或使用
/text-to-video-local-model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-local-model.
- Generate short AI-driven videos (up to 1080p MP4) from text prompts using a local model via a cloud backend.
- Supports TXT, JSON, CSV, and MD files up to 500MB.
- Handles uploads, prompt-based edits, exports, state checks, and credit balance through clear user commands.
- Automated setup, including anonymous token generation and session management.
- Cloud GPU processing delivers videos in 1–3 minutes per prompt.
- Comprehensive error handling and workflow tips for a smooth editing experience.
元数据
常见问题
Text To Video Local Model 是什么?
generate text prompts into AI-generated videos with this skill. Works with TXT, JSON, CSV, MD files up to 500MB. developers and AI enthusiasts use it for gen... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 67 次。
如何安装 Text To Video Local Model?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install text-to-video-local-model」即可一键安装,无需额外配置。
Text To Video Local Model 是免费的吗?
是的,Text To Video Local Model 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Text To Video Local Model 支持哪些平台?
Text To Video Local Model 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 Local Model?
由 whitejohnk-26(@whitejohnk-26)开发并维护,当前版本 v1.0.0。
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