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在 OpenClaw 中安装
/install shell-image-video
功能描述
RunningHub AI 工作流集成 — 图片换脸、Wan2.2 动作迁移、动作迁移升级版、150帧高清舞蹈视频。Use when asked about face swap, motion transfer, dance video generation, or RunningHub workflows.
安全使用建议
Do not install or enable this skill as-is. The SKILL.md references node scripts and a workspace path that are not included in the bundle and lists required env vars/binaries that the registry metadata does not declare. Also note the hard-coded API key in the instructions — never trust or use embedded credentials of unknown origin. Ask the publisher to (1) provide the referenced code or a proper install spec, (2) remove the embedded API key and instead require the user to supply RUNNINGHUB_API_KEY explicitly, (3) declare required binaries and environment variables in metadata, and (4) document the RunningHub host/endpoints and privacy/billing implications. Until these are resolved, treating the skill as untrusted is safest; avoid uploading sensitive face data to unknown endpoints and rotate any leaked credentials immediately.
功能分析
Type: OpenClaw Skill
Name: shell-image-video
Version: 1.0.0
The skill bundle contains a hardcoded API key (7192bd7ed2654d1dbfa24ef0c8576705) directly in the SKILL.md file, which is a significant security vulnerability. While the described functionality for image and video processing via RunningHub AI aligns with the stated purpose, hardcoding credentials instead of using environment variables is a high-risk practice that could lead to credential exposure or abuse.
能力评估
Purpose & Capability
The description and SKILL.md target RunningHub face-swap and motion-transfer workflows, which legitimately require a RunningHub API key and media tools. However, the skill metadata declares no required environment variables or binaries while the SKILL.md explicitly lists RUNNINGHUB_API_KEY, ffmpeg, and ImageMagick. That mismatch is incoherent: a RunningHub integration should declare the API key requirement up front.
Instruction Scope
The runtime instructions tell the agent to run node scripts under ~/.openclaw/workspace/Shell-openclaw-image-video-skill and to call a Workflow API path. But there are no code files in the bundle and no install step to create those scripts or the workspace. The instructions also embed a literal API key value ('7192bd7ed2654d1dbfa24ef0c8576705'), which is a credential present in the docs rather than obtained from the user's environment. Together, missing scripts + embedded key + unspecified network host / endpoints are red flags.
Install Mechanism
There is no install spec (instruction-only), which keeps disk/write risk low. However, because the instructions depend on local node scripts that are not present and on third-party binaries, the skill as provided cannot function as-is. The absence of an install mechanism is inconsistent with the usage instructions.
Credentials
The SKILL.md asks for RUNNINGHUB_API_KEY and external binaries (ffmpeg, ImageMagick) — these are reasonable for this functionality — but the skill metadata did not declare these requirements. Additionally, an apparent API key is embedded in the document as '已预配置', which is poor practice and may expose a credential of unknown provenance; using that key blindly risks leakage, misuse, or unexpected billing. The skill should declare required env vars explicitly and not embed credentials in docs.
Persistence & Privilege
The skill does not request always:true or other elevated persistence. It is user-invocable and allows model invocation (default), which is normal. There is no evidence it modifies other skills or system settings.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install shell-image-video - 安装完成后，直接呼叫该 Skill 的名称或使用
/shell-image-video触发 - 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 with integrated RunningHub AI workflows for image and video generation:
- Supports face swap, advanced motion transfer, and high-quality dance video creation.
- Workflow API integration enables digital human video, mouth-sync, comparison GIF/video, and extended lip sync.
- Sample commands and usage instructions provided for each workflow.
- Built-in error handling guidance and recommended media specs for best results.
- Preconfigured API Key and dependency notes included.
元数据
常见问题
Shell Image Video 是什么？
RunningHub AI 工作流集成 — 图片换脸、Wan2.2 动作迁移、动作迁移升级版、150帧高清舞蹈视频。Use when asked about face swap, motion transfer, dance video generation, or RunningHub workflows. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 990 次。
如何安装 Shell Image Video？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install shell-image-video」即可一键安装，无需额外配置。
Shell Image Video 是免费的吗？
是的，Shell Image Video 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Shell Image Video 支持哪些平台？
Shell Image 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 Shell Image Video？
由 lygjoey（@lygjoey）开发并维护，当前版本 v1.0.0。
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