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Text To Video Kapwing

作者 vynbosserman65 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
48
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-kapwing
功能描述
Get text-based videos ready to post, without touching a single slider. Upload your text prompts (TXT, DOCX, MP4, MOV, up to 500MB), say something like "turn...
安全使用建议
This skill appears to implement a text→video service, but there are a few things to check before installing or providing credentials: - Verify the backend domain: the SKILL.md calls mega-api-prod.nemovideo.ai, yet the skill name references 'Kapwing' — confirm the provider and trustworthiness of nemovideo.ai (is this an official integration or a third-party proxy?). - Understand NEMO_TOKEN scope: only one env var is requested. Ask the publisher what permissions that token grants and whether you can use a limited-scope/test token. Avoid supplying broad or long-lived credentials until you confirm scope. - Anonymous token behavior: if you don't provide NEMO_TOKEN, the skill will contact an external endpoint to mint a 7‑day token using a generated UUID. If you prefer not to have the agent call that endpoint automatically, require the token externally or disable the skill. - Config-path inconsistency: SKILL.md frontmatter references ~/.config/nemovideo/ but registry metadata lists none. Ask whether the skill will read files from that path and why. - Attribution/file access: the skill will read its own frontmatter and inspect install paths to populate X-Skill-Platform headers — this requires the agent to look at common install locations under your home directory. If that is a privacy concern, request a version that does not attempt platform detection or denies local path inspection. If you cannot verify the above, run the skill in a restricted/test environment (or with a throwaway limited token) rather than giving it production credentials.
功能分析
Type: OpenClaw Skill Name: text-to-video-kapwing Version: 1.0.0 The skill is a functional integration for a text-to-video service hosted at nemovideo.ai. It provides detailed instructions for the AI agent to manage authentication (including anonymous token generation), session handling via SSE, and video export workflows. While it performs network requests to an external API and fingerprints the installation environment (e.g., checking for ~/.cursor/skills/ for attribution), these behaviors are transparently documented and aligned with the stated purpose of the tool. No evidence of data exfiltration, malicious code execution, or harmful prompt injection was found in SKILL.md or _meta.json.
能力评估
Purpose & Capability
Name and description advertise 'Kapwing' style text-to-video, which aligns with the runtime instructions calling a remote render API. However the actual backend endpoints are on mega-api-prod.nemovideo.ai (not kapwing.com), and the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata shows none — this mismatch suggests either mislabeling or sloppy metadata.
Instruction Scope
Instructions stay within the stated purpose (upload text/media, create session, SSE editing, export/polling). They also instruct the agent to: mint an anonymous token from an external endpoint if NEMO_TOKEN is absent, read the skill file's YAML frontmatter for attribution, and detect install path to set X-Skill-Platform (may require inspecting typical install locations under the user's home). Those actions are explainable but widen the scope to include contacting an external auth endpoint and reading local install/config paths.
Install Mechanism
Instruction-only skill with no install spec or code files — nothing is written to disk by an installer. Low install risk.
Credentials
Only one required env var (NEMO_TOKEN) is declared, which is appropriate for an API-backed video service. Concerns: (1) SKILL.md will request an anonymous token from the network if no NEMO_TOKEN is present (network call that mints a token tied to a generated UUID), and (2) the frontmatter references a config path (~/.config/nemovideo/) that could contain credentials — this is inconsistent with the registry metadata that lists no config paths. Confirm whether the skill legitimately needs to read that path and what the token scopes are before supplying real/privileged credentials.
Persistence & Privilege
Skill does not request always: true and has no install hooks. Autonomous invocation is allowed (platform default) but not combined with other high privileges. The skill does instruct server-side job creation and polling, which is expected for this function.
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-kapwing
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /text-to-video-kapwing 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 Kapwing — convert text and files into shareable videos, fast. - Upload text (TXT, DOCX) or video files (MP4, MOV, up to 500MB), and generate videos with AI-driven visuals and captions. - Supports instant video creation for blog posts, product descriptions, or scripts; returns 1080p MP4 downloads in ~1-2 minutes. - No local setup required; all processing is cloud-based with easy API connection (auto handles authentication and session). - Simple prompts convert your written content into ready-to-share videos optimized for creators and marketers. - Includes workflow for uploads, editing, credits tracking, export, status, and common troubleshooting messages. - All major video, audio, and image formats supported for input and export.
元数据
Slug text-to-video-kapwing
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 Kapwing 是什么?

Get text-based videos ready to post, without touching a single slider. Upload your text prompts (TXT, DOCX, MP4, MOV, up to 500MB), say something like "turn... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 48 次。

如何安装 Text To Video Kapwing?

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

Text To Video Kapwing 是免费的吗?

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

Text To Video Kapwing 支持哪些平台?

Text To Video Kapwing 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 Kapwing?

由 vynbosserman65(@vynbosserman65)开发并维护,当前版本 v1.0.0。

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