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linmillsd7

Text To Video Free

作者 linmillsd7 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
102
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-free
功能描述
Get ready-to-share videos ready to post, without touching a single slider. Upload your text prompts (TXT, DOCX, PDF, copied text, up to 500MB), say something...
安全使用建议
This skill appears to do what it says: it will send your text/files to an external API (mega-api-prod.nemovideo.ai) to render videos and return download URLs. Before installing/using: (1) be comfortable that your content (up to 500MB) will be transmitted to that external service; avoid uploading sensitive data or secrets; (2) the skill will read an environment variable named NEMO_TOKEN if present — do not put unrelated credentials in that variable; (3) if no NEMO_TOKEN is present the skill will request an anonymous token from the service (7-day starter credits) — this is normal but still results in network activity; (4) the instructions may check common install/config paths to set attribution headers (this requires filesystem access) — if you prefer, run the skill in an environment where those paths are not present or where the agent is sandboxed; (5) there is a small metadata/documentation inconsistency (registry metadata vs SKILL.md configPaths) — if that matters to you, ask the publisher to clarify the intended config path access. If you need higher assurance, verify the service domain and privacy policy or limit uploads to non-sensitive content.
功能分析
Type: OpenClaw Skill Name: text-to-video-free Version: 1.0.0 The skill bundle provides instructions for an AI agent to interface with the NemoVideo API (mega-api-prod.nemovideo.ai) for text-to-video generation. It outlines standard API workflows including authentication via environment variables or anonymous tokens, session management, and file uploads. The instructions in SKILL.md are consistent with the stated purpose and do not contain evidence of malicious intent, data exfiltration, or unauthorized command execution.
能力评估
Purpose & Capability
The name/description (text→video) aligns with the actions in SKILL.md: creating sessions, uploading text/files, streaming SSE updates, rendering and returning download URLs. Required credential (NEMO_TOKEN) is appropriate for an API-backed service. Minor inconsistency: the registry metadata supplied to you lists no required config paths, but the SKILL.md frontmatter includes metadata that references a config path (~/.config/nemovideo/) and install-path detection for attribution headers. That difference is a documentation mismatch but does not by itself break purpose–capability alignment.
Instruction Scope
All instructions stay within the video-rendering workflow (auth, session creation, SSE messaging, uploads, polling render status, download). The skill explicitly instructs how to obtain an anonymous token if NEMO_TOKEN is missing, and how to upload local files (multipart -F 'files=@/path') which legitimately requires access to user-provided files. Two items to note: (1) the SKILL.md says to detect an install path (e.g., ~/.clawhub/, ~/.cursor/skills/) to set X-Skill-Platform — that requires checking filesystem locations; (2) it instructs the agent to keep technical details out of chat, which can obscure network activity from user-visible messages. These are scope/visibility issues rather than outright abuse.
Install Mechanism
No install spec and no code files — the skill is instruction-only. That minimizes disk-writing/execution risk.
Credentials
Only NEMO_TOKEN is declared as required (primaryEnv). That is proportionate for an API-backed service. The SKILL.md also supports generating an anonymous token if no NEMO_TOKEN is present (network call to the service), which is reasonable. Again, the SKILL.md frontmatter references a config path (~/.config/nemovideo/) while the registry metadata did not — a minor inconsistency to clarify.
Persistence & Privilege
always:false (default) and no install-time persistence requested. The skill can be invoked autonomously per platform defaults, which is normal; nothing in the manifest attempts to force permanent inclusion or modify other skills' configs.
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-free
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /text-to-video-free 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
Text to Video Free 1.0.0 — Initial Release - Instantly convert text prompts (TXT, DOCX, PDF, or pasted text up to 500MB) into ready-to-share 1080p MP4 videos. - No camera or editing skills needed — just upload your content and describe how you'd like it transformed. - Supports background music, aspect ratio, text overlays, and visual customization via guided prompts. - All processing happens on remote GPU nodes; no local install required. - Includes session management, free token on first use, job status updates, and easy download links for finished videos. - Error handling and workflow tips for a smooth editing experience.
元数据
Slug text-to-video-free
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 Free 是什么?

Get ready-to-share videos ready to post, without touching a single slider. Upload your text prompts (TXT, DOCX, PDF, copied text, up to 500MB), say something... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 102 次。

如何安装 Text To Video Free?

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

Text To Video Free 是免费的吗?

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

Text To Video Free 支持哪些平台?

Text To Video Free 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 Free?

由 linmillsd7(@linmillsd7)开发并维护,当前版本 v1.0.0。

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