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Slideshow Video

作者 X-RayLuan · GitHub ↗ · v0.2.2 · MIT-0
cross-platform ⚠ suspicious
129
总下载
0
收藏
1
当前安装
3
版本数
在 OpenClaw 中安装
/install slideshow-video
功能描述
Generate SEO/GEO-friendly TikTok-style slideshow videos with AI-powered visuals. Combines GPT Image 2 for stunning image generation, automated caption creati...
安全使用建议
This skill largely implements a legitimate slideshow pipeline, but there are important mismatches and things to check before installing: - Undeclared env vars: the Python code will read OPENCLAW_BASE_URL and OPENCLAW_SESSION_KEY to request GPT Image 2 via a local OpenClaw session if you choose the --image-source openai/kie flow. The skill metadata claims no required env vars — that is inaccurate. Do not set a session key for your agent unless you understand and trust the skill and want it to be able to invoke your local session's tools. - Documentation mismatch: README contains Node/npm/.mjs examples that don't match the provided Python scripts. Expect to run the provided Python scripts (they require Pillow and ffmpeg). Confirm which implementation you will run. - Network activity and scraping: resolve_images.py downloads remote images, caches them to disk, and has code that scrapes Pinterest pages and crafts requests using cookies. This is expected for remote image sourcing but has privacy and terms-of-service implications; review licensing for any remotely sourced images before publishing. - Data flow: when image generation is enabled via the OpenClaw session, your prompts and other content will be POSTed to the OpenClaw API endpoint. That local session/tool may then call external providers (OpenAI, KIE, ElevenLabs) using credentials stored in the OpenClaw environment — be deliberate about what credentials are exposed to that session. What would reduce concern: the registry metadata or SKILL.md explicitly listing the environment variables it uses (OPENCLAW_BASE_URL, OPENCLAW_SESSION_KEY and any provider keys), or adding code paths that accept direct provider keys with clear user consent. If you are unsure, run the scripts in an isolated environment, inspect the code (it is included), or avoid giving this skill an OpenClaw session key and use only unsplash/pinterest/local images.
功能分析
Type: OpenClaw Skill Name: slideshow-video Version: 0.2.2 The OpenClaw SlideShow Video skill is a legitimate toolchain for generating vertical videos from images and text. It uses standard libraries like Pillow for image processing and ffmpeg (via subprocess) for video encoding. The scripts (e.g., generate_slides.py, resolve_images.py) include functionality to download images from remote URLs and interact with the OpenClaw session API for AI image generation, which are consistent with the stated purpose of the skill. No evidence of malicious intent, data exfiltration, or prompt injection was found.
能力标签
cryptorequires-walletcan-make-purchasesrequires-sensitive-credentials
能力评估
Purpose & Capability
The code (Python scripts) implements the described slideshow pipeline (image resolution, slide PNG generation, ffmpeg export, per-line audio sync). However the README contains Node/npm usage and .mjs examples that do not match the shipped Python scripts, and the image-generation path relies on a local OpenClaw tool-call rather than directly requiring an OPENAI_API_KEY — a design choice that is plausible but not documented in the skill metadata. These documentation/code mismatches are surprising.
Instruction Scope
Runtime instructions and scripts perform network operations (download/caching of remote images, Pinterest HTML requests and API-like calls), call external binaries (ffmpeg/ffprobe), and may POST prompts to a local OpenClaw API endpoint if an OpenClaw session key is present. The SKILL.md and top-level metadata do not clearly state the environment variables the scripts will read (OPENCLAW_BASE_URL, OPENCLAW_SESSION_KEY). The resolve_images code scrapes Pinterest pages and crafts authenticated-like requests using cookies extracted from the site — this conducts broader network activity than a simple local-only slideshow generator and has privacy / TOS implications.
Install Mechanism
There is no automated install spec in the registry (instruction-only), and the repository ships Python scripts only. The SKILL.md asks to pip-install Pillow and have ffmpeg available — reasonable and minimal for the task. But the README also includes npm/node commands and .mjs usage which do not match the included Python implementation, indicating outdated or inconsistent packaging instructions.
Credentials
The registry lists no required environment variables, but resolve_images.py reads OPENCLAW_BASE_URL and OPENCLAW_SESSION_KEY to call a local OpenClaw / tool-call API for GPT Image 2 generation. README also suggests adding OPENAI_API_KEY and ELEVENLABS_API_KEY to an .env, but those keys are not directly consumed by the shipped Python code (they would instead be used by the OpenClaw session/tool). This mismatch means required credentials are not declared and the skill may rely on a local agent/session to perform third-party API calls — potentially surprising to users.
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and does not install background daemons. It writes cached images and generated outputs to disk under specified output/cache folders (expected for this tool). The notable privilege is conditional: if given an OpenClaw session key, it can invoke a local session's tool endpoint which could broaden what the skill does — but that is a consequence of the session key being present, not the skill forcibly persisting or elevating itself.
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 slideshow-video
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /slideshow-video 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
v0.2.2
slideshow-video v0.2.2 - Updated skill name and description to emphasize SEO/GEO, AI image generation, automated captions, and multi-language narration for TikTok-style videos. - README and SKILL documentation improved for discoverability and optimized short-form video creation. - Added _meta.json file.
v0.2.1
Add GPT Image 2 support via OpenAI and Kie, mention multilingual support in README intro
v0.2.0
Add synced shorts workflow, export_sync_mp4, and TikTok-native guidance
元数据
Slug slideshow-video
版本 0.2.2
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 3
常见问题

Slideshow Video 是什么?

Generate SEO/GEO-friendly TikTok-style slideshow videos with AI-powered visuals. Combines GPT Image 2 for stunning image generation, automated caption creati... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 129 次。

如何安装 Slideshow Video?

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

Slideshow Video 是免费的吗?

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

Slideshow Video 支持哪些平台?

Slideshow Video 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 Slideshow Video?

由 X-RayLuan(@x-rayluan)开发并维护,当前版本 v0.2.2。

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