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Text To Video Download
作者
mhogan2013-9
· GitHub ↗
· v1.0.0
· MIT-0
50
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-download
功能描述
Turn a 150-word product description paragraph into 1080p downloadable MP4 videos just by typing what you need. Whether it's turning written content into down...
安全使用建议
This skill appears to implement a cloud text→video workflow and only needs a NEMO_TOKEN (or it can request an anonymous token). Before installing, consider: 1) The API domain (mega-api-prod.nemovideo.ai) is external and will receive any uploaded files and text — don't send sensitive data unless you trust the service. 2) The SKILL.md asks the agent to read the skill frontmatter and detect your agent's install path and a local config path (~/.config/nemovideo/) to set attribution headers; that requires filesystem access and seems unnecessary for basic operation. Ask the author why install-path detection and that config path are needed and whether the skill will read or transmit any local files. 3) If you proceed, prefer using an ephemeral/limited token (or the anonymous token flow) and test with non-sensitive inputs first. If you require higher assurance, request the author provide a version of the instructions that does not probe local config paths or that documents exactly what files are read.
功能分析
Type: OpenClaw Skill
Name: text-to-video-download
Version: 1.0.0
The skill 'text-to-video-download' (SKILL.md) enables an AI agent to interface with an external video generation service at mega-api-prod.nemovideo.ai. It requires significant capabilities, including outbound network access for API communication, filesystem access to read configuration files (~/.config/nemovideo/) and upload user data, and environment fingerprinting to identify the host platform (e.g., Cursor or Clawhub). While these behaviors are aligned with the stated purpose of text-to-video conversion and include safety instructions to avoid leaking tokens, the combination of external API reliance and local file access is classified as suspicious under the provided criteria.
能力评估
Purpose & Capability
Name/description, the listed API endpoints, and the single required env var (NEMO_TOKEN) align with a text→video cloud rendering service. However the SKILL.md frontmatter includes a config path (~/.config/nemovideo/) and instructions to detect the agent's install path to set X-Skill-Platform; the registry metadata reported no required config paths. That mismatch is unexplained and not clearly needed for core functionality (producing downloads).
Instruction Scope
The SKILL.md contains explicit runtime instructions to call external HTTPS APIs (session creation, SSE, upload, render polling), generate an anonymous token if NEMO_TOKEN is missing, save session_id, and stream SSE text to users. Those actions fit the stated purpose. It also directs the agent to read the skill's YAML frontmatter and to detect the agent's install path (~/.clawhub/, ~/.cursor/skills/, else unknown) to populate an attribution header — instructions that require probing the filesystem and are not strictly necessary for video rendering.
Install Mechanism
There is no install spec and no code files; the skill is instruction-only. That is the lowest-risk install model — nothing will be downloaded or written by an installer step.
Credentials
Only one credential is requested (NEMO_TOKEN), which is proportional to a cloud API integration. However the frontmatter's configPaths entry (~/.config/nemovideo/) and the runtime requirement to detect install paths could allow access to local config files. The skill also instructs generating and storing session tokens. The extra filesystem access is not well justified by the described feature set.
Persistence & Privilege
always is false and there is no install-time persistence. The skill does instruct saving session_id for ongoing interactions (normal for a session-based API). Autonomous invocation (disable-model-invocation=false) is the platform default and is not by itself flagged.
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-download - 安装完成后,直接呼叫该 Skill 的名称或使用
/text-to-video-download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
Text-to-Video-Download v1.0.0 — Initial Release
- Instantly turn up to 150-word text prompts into downloadable 1080p MP4 videos via cloud rendering.
- Supports quick uploads, timeline previews, credits checking, and direct video downloads — all triggered with simple keywords.
- Automated session creation and anonymous token handling for hassle-free setup (no manual account needed).
- All video editing and export tasks run via fast GPU-backed pipeline, with status updates and session management.
- Export supports multiple formats (MP4, MOV, AVI, WEBM, etc.), with error handling for common user issues.
- Designed for simple, fast, text-driven AI video creation without manual editing or complex settings.
元数据
常见问题
Text To Video Download 是什么?
Turn a 150-word product description paragraph into 1080p downloadable MP4 videos just by typing what you need. Whether it's turning written content into down... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 50 次。
如何安装 Text To Video Download?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install text-to-video-download」即可一键安装,无需额外配置。
Text To Video Download 是免费的吗?
是的,Text To Video Download 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Text To Video Download 支持哪些平台?
Text To Video Download 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 Download?
由 mhogan2013-9(@mhogan2013-9)开发并维护,当前版本 v1.0.0。
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