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在 OpenClaw 中安装
/install wan-video-gen-edit-2-7
功能描述
Video Generation and Editing with Wan 2.7 series models. Supports text2video, image2video (first-frame, first+last-frame, video-continuation), reference2vide...
安全使用建议
This skill is mostly coherent for uploading media to Alibaba's Wan/DashScope API, but it can read arbitrary local files and will base64-encode and send them to dashscope.aliyuncs.com. Before installing or running it: 1) Do not pass paths to sensitive files (SSH keys, credentials, private documents) as any media argument. 2) Prefer creating an API key with minimal privileges and billing limits for DASHSCOPE_API_KEY. 3) Inspect or run the included script (scripts/wan27-magic.py) yourself; if you must run it, do so in a restricted environment (container or VM) with only non-sensitive files accessible. 4) Note the minor metadata inconsistency: 'requests' is a Python package (install via pip) not a system binary. 5) If you need guarantees about data handling or retention, ask the provider (dashscope.aliyuncs.com / Alibaba) about how uploaded media and generated results are stored and who can access them.
功能分析
Type: OpenClaw Skill
Name: wan-video-gen-edit-2-7
Version: 1.0.1
The skill bundle provides a legitimate interface for Alibaba's Wan 2.7 video generation and editing models via the DashScope API. The core logic in `scripts/wan27-magic.py` is well-structured, using the `requests` library to communicate with official endpoints (dashscope.aliyuncs.com) and correctly handling local file encoding for media uploads. No evidence of data exfiltration, unauthorized execution, or malicious prompt injection was found in the code or documentation.
能力评估
Purpose & Capability
Name/description match the implementation: the script calls Wan/DashScope endpoints to create video tasks and query task status. The required credential (DASHSCOPE_API_KEY) aligns with the remote API host. One inconsistency: metadata lists 'requests' as a required binary; in reality 'requests' is a Python package import, not an executable binary.
Instruction Scope
The runtime script encodes local files as data: URIs (base64) and sends them to the remote API. The SKILL.md accepts local paths for frames, clips, and audio — which is reasonable for a media upload tool — but nothing in the documentation restricts which local paths can be supplied. That means an attacker or careless user could cause arbitrary local files (e.g., ~/.ssh/id_rsa or other secrets) to be read, base64-encoded, and uploaded to dashscope.aliyuncs.com. The skill also prints file-size/encoding info to stdout.
Install Mechanism
No install spec or external downloads; the skill is instruction + included script only. This lowers supply-chain risk because nothing is fetched at install time. It does require a Python runtime and the 'requests' library being available.
Credentials
Only one credential is required: DASHSCOPE_API_KEY, which is proportional to an API wrapper for a remote video service. Recommend ensuring the API key has limited scope and billing controls. No other unrelated env vars are requested. Be aware the script will add an Authorization: Bearer header with that key for all requests to the DashScope endpoint.
Persistence & Privilege
The skill does not request permanent/always-on inclusion and does not modify other skills or system configuration. It runs as a one-off CLI wrapper and does not persist new credentials to the system.
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 wan-video-gen-edit-2-7 - 安装完成后，直接呼叫该 Skill 的名称或使用
/wan-video-gen-edit-2-7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
v1.0.1
- Added "requests" to the list of required binaries in the skill metadata.
- No functional or documentation changes detected beyond the metadata update.
v1.0.0
wan-video-gen-edit 1.0.0
- Initial release integrating Wan 2.7 video generation and editing models.
- Supports text2video, image2video (first-frame, first+last-frame, video continuation), reference2video, and video-editing tasks.
- Provides CLI usage examples and detailed options for each mode.
- Enables advanced features like prompt extension, watermarking, multi-shot narratives, and custom audio.
- Compatible with 720P and 1080P resolutions and multiple aspect ratios.
元数据
常见问题
Wan Video Generation and Editting 是什么？
Video Generation and Editing with Wan 2.7 series models. Supports text2video, image2video (first-frame, first+last-frame, video-continuation), reference2vide... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 172 次。
如何安装 Wan Video Generation and Editting？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install wan-video-gen-edit-2-7」即可一键安装，无需额外配置。
Wan Video Generation and Editting 是免费的吗？
是的，Wan Video Generation and Editting 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Wan Video Generation and Editting 支持哪些平台？
Wan Video Generation and Editting 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 Wan Video Generation and Editting？
由 krisyejh（@krisyejh）开发并维护，当前版本 v1.0.1。
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