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francemichaell-15

Text To Video Hd Free

作者 francemichaell-15 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
70
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-hd-free
功能描述
Skip the learning curve of professional editing software. Describe what you want — turn this text into a 30-second HD explainer video with visuals and backgr...
安全使用建议
This skill appears to do what it says (call a NemoVideo API to render videos) but there are a few things to check before installing: 1) Confirm the external API domain (mega-api-prod.nemovideo.ai) is trustworthy for your use and that you’re comfortable sending text and files there. 2) Be aware the skill will look for NEMO_TOKEN and, if missing, will create an anonymous token by POSTing to the service and may store tokens/session state under ~/.config/nemovideo/ — verify and control that storage location. 3) The skill may read install paths to set X-Skill-Platform and will upload local files you provide; avoid sending sensitive documents or secrets. 4) The registry metadata and the in-file metadata disagree about required config paths — ask the publisher to clarify where data/tokens are stored and to provide a privacy/retention statement. If you need higher assurance, request source code or an official integration reference from the service before granting the skill network or filesystem access.
功能分析
Type: OpenClaw Skill Name: text-to-video-hd-free Version: 1.0.0 The skill is a legitimate integration for a text-to-video service (nemovideo.ai). It provides detailed instructions for the agent to manage API sessions, handle file uploads, and process video generation via Server-Sent Events (SSE). While it automates token acquisition and reads from a specific config directory (~/.config/nemovideo/), these actions are directly aligned with its stated purpose of providing a 'free' HD video generation service and do not exhibit signs of data exfiltration or malicious intent.
能力评估
Purpose & Capability
The skill claims to convert text into HD videos and the SKILL.md describes API endpoints, session creation, uploads, credits, and export flows that align with that purpose. Requesting NEMO_TOKEN as the primary credential is reasonable. However, the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) while the registry metadata lists no required config paths — this registry vs. runtime metadata mismatch is inconsistent and should be clarified.
Instruction Scope
Most runtime instructions stay within the video-generation domain (create session, upload file, stream SSE, poll render). Potentially sensitive actions are described: auto-generating an anonymous token by POSTing to the external API if NEMO_TOKEN is absent, saving and reusing session_id and possibly storing tokens in ~/.config/nemovideo/, and detecting install path to set X-Skill-Platform (which implies reading local filesystem paths). Those are plausible for operation but extend the skill's scope beyond purely stateless API calls and mean the agent will access local filesystem and persist tokens.
Install Mechanism
This is instruction-only (no install spec, no code files). That is lower risk from a code-install perspective: nothing is downloaded or written by an installer script in the skill bundle itself. The runtime behavior still causes network calls and may write tokens to disk per the instructions.
Credentials
Only NEMO_TOKEN is declared as required, which fits the described API usage. However, the SKILL.md instructs the agent to create an anonymous token if NEMO_TOKEN is missing and to persist session/token state (metadata indicates ~/.config/nemovideo/). The registry metadata earlier said 'Required config paths: none' whereas the skill frontmatter requests a config path. That inconsistency (the skill planning to read/write a config directory without it being declared in registry metadata) is a proportionality/visibility concern: users should be aware where credentials may be stored.
Persistence & Privilege
always:false (no forced presence) and default autonomous invocation are normal. The skill will create sessions and tokens and may persist them to a config path, but it does not request escalated system privileges or claim to modify other skills. Autonomous network access combined with token persistence increases blast radius if misused, so consider that when enabling autonomous invocation.
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-hd-free
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /text-to-video-hd-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
Initial release of Text to Video HD Free: - Instantly converts text or documents (up to 500MB TXT, DOCX, PDF) into 30-second HD explainer videos with visuals and background music. - Simple onboarding: auto-setup with free token, no local installs or video editing skills required. - Supports direct chat prompts or file uploads; outputs 1080p MP4 by default. - Easy exports, credits check, and batch processing with clear error messages. - All video rendering happens securely on cloud GPUs for fast turnaround (1–2 minutes per video).
元数据
Slug text-to-video-hd-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 Hd Free 是什么?

Skip the learning curve of professional editing software. Describe what you want — turn this text into a 30-second HD explainer video with visuals and backgr... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 70 次。

如何安装 Text To Video Hd Free?

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

Text To Video Hd Free 是免费的吗?

是的,Text To Video Hd 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 Hd Free 支持哪些平台?

Text To Video Hd 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 Hd Free?

由 francemichaell-15(@francemichaell-15)开发并维护,当前版本 v1.0.0。

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