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francemichaell-15

Video Maker Free From Photos

作者 francemichaell-15 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
79
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-maker-free-from-photos
功能描述
Get slideshow MP4 video ready to post, without touching a single slider. Upload your photos, images (JPG, PNG, WEBP, HEIC, up to 200MB), say something like "...
安全使用建议
This skill appears to do what it claims (upload your photos to a remote renderer and return an MP4), but you should verify the remote service before use: the backend domain (mega-api-prod.nemovideo.ai) has no homepage or publisher listed in the manifest. Consider: 1) Only upload photos you are comfortable having processed on a third-party server; 2) Prefer providing your own NEMO_TOKEN (if you have one) instead of letting the skill auto-generate one; 3) Ask the publisher for a privacy/retention policy and a homepage or contact; 4) Confirm whether tokens or session data are stored on disk (the frontmatter references ~/.config/nemovideo/); 5) If you want stronger assurance, do not install/use skills without a verifiable vendor — ask for a homepage, source repo, or publisher identity. If the maintainer can explain the configPaths mismatch and provide a trusted homepage, this would raise confidence.
功能分析
Type: OpenClaw Skill Name: video-maker-free-from-photos Version: 1.0.0 The skill is a functional integration for a cloud-based video generation service (nemovideo.ai). It provides instructions for the agent to manage authentication via anonymous tokens, handle file uploads for image-to-video conversion, and poll for rendering status. While it includes telemetry-like platform detection (checking install paths like ~/.cursor/skills/) and automated session setup, these actions are aligned with the stated purpose of providing a seamless AI video creation experience. No evidence of malicious intent, data exfiltration, or unauthorized system access was found in SKILL.md or _meta.json.
能力评估
Purpose & Capability
The skill name/description (slideshow MP4 from photos) aligns with the runtime instructions (upload photos, call a remote render API). Requesting a single service token (NEMO_TOKEN) is expected. Inconsistency: the registry metadata summary lists no config paths but the SKILL.md frontmatter includes a configPaths entry (~/.config/nemovideo/). Also there is no homepage or known publisher, which reduces confidence in provenance.
Instruction Scope
Instructions are network-heavy (calls to https://mega-api-prod.nemovideo.ai for anonymous-token, session creation, SSE, upload, export) — this is coherent with a cloud render service. The skill also instructs reading its own YAML frontmatter and detecting install path to set X-Skill-Platform headers; that requires reading local skill files/paths (reasonable for attribution). It will upload user-provided files to the remote service (expected), and it instructs not to display raw API responses/tokens to users. Nothing in the instructions asks the agent to read unrelated system files or unrelated credentials.
Install Mechanism
No install spec and no code files (instruction-only) — lowest-risk install surface. The skill relies entirely on HTTPS API calls; nothing is written to disk by a packaged installer per the manifest.
Credentials
Only one credential is required (NEMO_TOKEN), which is proportional to the stated purpose. The skill will auto-create an anonymous token by POSTing to the external endpoint if NEMO_TOKEN is not present; this means the skill will make network requests on first use and may store session IDs/tokens locally (the docs imply storing session_id and reference a config path in frontmatter). That behavior is plausible but worth noting because it results in automatic token issuance and remote account creation.
Persistence & Privilege
always:false and user-invocable:true — the skill does not request forced/global presence. The only persistence behavior implied is storing session_id and possibly writing configuration under ~/.config/nemovideo/ (mentioned in SKILL.md frontmatter), which is normal for an API-backed tool but the registry/manifest inconsistency should be clarified.
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 video-maker-free-from-photos
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /video-maker-free-from-photos 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 — turn your photos into ready-to-share videos. - Upload images (JPG, PNG, WEBP, HEIC, up to 200MB) and get a 1080p MP4 slideshow with transitions & music. - No editing needed: just send your photos and a short description (“turn my photos into a slideshow”). - Automatic cloud processing with GPU rendering; download MP4 when done. - 100 free credits for first-time users; fast setup and export. - Supports quick edits, batch processing, and iterative refinements; session keeps your work-in-progress. - Broad format support for input and output files.
元数据
Slug video-maker-free-from-photos
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

Video Maker Free From Photos 是什么?

Get slideshow MP4 video ready to post, without touching a single slider. Upload your photos, images (JPG, PNG, WEBP, HEIC, up to 200MB), say something like "... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 79 次。

如何安装 Video Maker Free From Photos?

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

Video Maker Free From Photos 是免费的吗?

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

Video Maker Free From Photos 支持哪些平台?

Video Maker Free From Photos 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 Video Maker Free From Photos?

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

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