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vcarolxhberger

Photo Video Tiktok

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
90
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install photo-video-tiktok
功能描述
Skip the learning curve of professional editing software. Describe what you want — turn these photos into a TikTok video with music and transitions — and get...
安全使用建议
This skill appears to do what it claims (upload photos, call a cloud render API, return a video) and only needs a NEMO_TOKEN, but there are two things to check before installing or using it: (1) Metadata mismatch — the SKILL.md frontmatter references a local config directory (~/.config/nemovideo/) and asks the agent to detect the install path to set an attribution header. Ask the author why the skill needs to inspect local install/config paths and whether any files there are read. (2) Network endpoints — this skill will POST images and create sessions at https://mega-api-prod.nemovideo.ai; confirm you trust that domain and review its privacy/retention policy before uploading sensitive images. Practical precautions: provide only non-sensitive test images at first, avoid supplying real account credentials (use the anonymous token flow if available), and request clarification from the publisher about the config path and header derivation behavior. If the author confirms the config path is unused or optional, the concerns here are minor; if not, consider this a privacy risk.
功能分析
Type: OpenClaw Skill Name: photo-video-tiktok Version: 1.0.0 The photo-video-tiktok skill is a legitimate integration for the nemovideo.ai API, designed to automate video creation from images. It provides clear instructions for the AI agent to manage sessions, handle file uploads, and poll for video rendering status. No evidence of data exfiltration, malicious code execution, or harmful prompt injection was found; the skill follows standard API authentication and telemetry practices.
能力评估
Purpose & Capability
The skill's name and description align with its runtime instructions to upload images and request rendered MP4s from a cloud backend. Requesting a single NEMO_TOKEN credential is proportionate for a cloud video service. However the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) while the registry metadata lists no required config paths — that mismatch is unexplained and could indicate the skill expects to read local configuration files.
Instruction Scope
Instructions instruct the agent to check NEMO_TOKEN, and if absent to call an anonymous-token endpoint and use the returned token. They also specify deriving attribution headers (including X-Skill-Platform) by detecting the skill install path (e.g., ~/.clawhub/, ~/.cursor/skills/) and refer to a local config path in the YAML frontmatter. Asking the agent to inspect install paths or local config directories goes beyond simply sending user-provided images and could access local state unrelated to converting photos to video. Other actions (uploads, SSE, polling renders) are within the stated purpose.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — low install risk. Nothing will be downloaded or written by an automatic installer per the provided metadata.
Credentials
Only NEMO_TOKEN is declared as required, which is reasonable. But the frontmatter also lists a config path (~/.config/nemovideo/) that was not declared in the registry 'Required config paths' field — an unexplained additional local access. The skill also instructs creation and use of an anonymous token if NEMO_TOKEN is missing (reasonable), but the need to read install/config paths to compose headers is not justified by the description.
Persistence & Privilege
The skill is not marked 'always' and is user-invocable. It relies on ephemeral session tokens and API calls. There is no evidence it requests ongoing elevated privileges or modifies other skills or system-wide settings.
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 photo-video-tiktok
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /photo-video-tiktok 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
photo-video-tiktok 1.0.0 — Initial Release - Instantly turn photos (JPG, PNG, HEIC, WebP, up to 200MB) into TikTok-ready videos with music and transitions, no editing skills needed. - Quick cloud processing: Upload images, describe the desired video, receive a 1080p MP4 in under a minute. - Automated session setup with free credits for new users; handles authentication and cloud connection transparently. - Supports common workflows like quick edits, batch processing, and iterative previews. - Error handling and step-by-step instructions help troubleshoot uploads, exports, and session issues. - Optimized output for TikTok (vertical 9:16, H.264, direct upload compatibility).
元数据
Slug photo-video-tiktok
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

Photo Video Tiktok 是什么?

Skip the learning curve of professional editing software. Describe what you want — turn these photos into a TikTok video with music and transitions — and get... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 90 次。

如何安装 Photo Video Tiktok?

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

Photo Video Tiktok 是免费的吗?

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

Photo Video Tiktok 支持哪些平台?

Photo Video Tiktok 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 Photo Video Tiktok?

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

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