← 返回 Skills 市场
qwencloud-video-generation
作者
Cuixiaoyang123
· GitHub ↗
· v0.1.1
· MIT-0
123
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install qwencloud-video-generation
功能描述
[QwenCloud] Generate videos using Wan models. Supports text-to-video, image-to-video, first+last frame, reference-based role-play, and video editing (VACE)....
安全使用建议
This skill appears to be a legitimate QwenCloud (DashScope) video-generation tool, but the registry metadata omits the DASHSCOPE_API_KEY that the scripts and SKILL.md clearly require. Before installing or running: 1) Confirm you are comfortable providing a QwenCloud API key (DASHSCOPE_API_KEY) and that you will store it in a safe place (prefer .env or environment variable, not command history). 2) Inspect the bundled scripts (scripts/video.py and qwencloud_lib.py) to verify they only call the documented dashscope endpoints and do not exfiltrate data elsewhere. 3) Be aware the skill can read local files you point it at (for uploads) and can load .env files in the repo or current directory — don't point it at sensitive files. 4) If the skill proposes to modify agent config files, refuse or verify the exact changes before agreeing. 5) Ask the publisher to update registry metadata to declare DASHSCOPE_API_KEY (and any other required env vars) so required permissions are transparent. If you want, run the scripts in an isolated environment (VM / container) with a throwaway API key first.
功能分析
Type: OpenClaw Skill
Name: qwencloud-video-generation
Version: 0.1.1
The skill bundle implements telemetry and aggressive update-check mechanisms that leverage the AI agent to modify the host environment. Specifically, 'scripts/qwencloud_lib.py' contains logic to inspect the file system path and call stack to identify the active agent and skill, reporting this metadata to the API provider via the 'X-DashScope-Source-Config' header. Furthermore, 'SKILL.md' and 'scripts/gossamer.py' instruct the agent to monitor stderr for specific signals and prompt the user to execute shell commands ('npx skills add') to install additional software. While these features are framed as maintenance and analytics, the use of the agent to drive software installation and the collection of environment-specific metadata are high-risk behaviors.
能力标签
能力评估
Purpose & Capability
The skill is clearly a QwenCloud (DashScope) video-generation integration and the bundled scripts and SKILL.md show expected API calls to dashscope-intl.aliyuncs.com. However, the registry metadata declares no required environment variables or primary credential, while SKILL.md and the included Python modules explicitly expect a DASHSCOPE_API_KEY (and optionally QWEN_BASE_URL/QWEN_REGION). This mismatch (missing declared credential) is incoherent and should be corrected or explained.
Instruction Scope
Runtime instructions are detailed and mostly limited to submitting async video tasks, polling, downloading, and local media post-processing. They also instruct the agent to read bundled scripts and reference docs, load .env files, upload user-provided local files, and (optionally, with user consent) append entries to agent config files. Those behaviors are expected for a video-generation skill, but they grant the skill the ability to read arbitrary paths referenced by the user and to modify agent config files if permitted — the SKILL.md asks to 'Ask the user before modifying any file', which mitigates but does not eliminate the risk.
Install Mechanism
No external install/download is declared; the skill is instruction-plus-bundled-scripts only. No remote install URLs or package installs appear in the manifest, lowering install-time risk.
Credentials
Functionally the skill needs an API key (DASHSCOPE_API_KEY) and may use QWEN_BASE_URL/QWEN_REGION and local .env files, which are proportional to contacting the provider and supporting custom endpoints. The problem is that the registry metadata lists no required env vars or primary credential, so the skill's declared requirements understate the secrets it will need and reference at runtime. The scripts also read .env and arbitrary local file paths (for uploads), which is appropriate for local-file inputs but should be made explicit in metadata so users know what sensitive information may be accessed.
Persistence & Privilege
The skill does not request always:true and does not appear to demand permanent system-wide privileges. It offers optional guidance to append a block to agent config files for agent compatibility, but the SKILL.md explicitly instructs to ask the user before modifying files. Autonomous invocation is allowed (platform default) but not combined with other alarming privileges.
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 qwencloud-video-generation - 安装完成后，直接呼叫该 Skill 的名称或使用
/qwencloud-video-generation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
v0.1.1
- Added support for wan2.7 models (t2v and i2v) with advanced features such as ratio control, auto-dubbing, unified i2v protocol, and media array input.
- Updated mode selection and model tables to reflect wan2.7 model usage and required parameters.
- Clarified execution: explicitly document how to select new models, and direct users to official model detail pages for specific info.
- Enhanced documentation on i2v mode: now covers unified protocol (first/last frames, video continuation, audio sync) for wan2.7.
- No code or file-level changes detected in this release.
v0.1.0
Initial release of qwencloud-video-generation skill, enabling advanced video creation and editing with Wan models.
- Supports text-to-video, image-to-video, first+last frame transitions, reference-based role-play, and video editing (VACE).
- Detailed documentation included for mode selection, model compatibility, API key setup, and usage precautions.
- Provides step-by-step guidance for script execution, polling, media merging, and troubleshooting.
- Emphasizes strict security: never outputs API keys or plaintext credentials; guides users to set environment variables correctly.
- Outlines differences in parameters and capabilities by mode, and includes a model/version selection guide.
- Clarifies triggers for using this skill vs. related QwenCloud skills (image generation, video understanding).
元数据
常见问题
qwencloud-video-generation 是什么？
[QwenCloud] Generate videos using Wan models. Supports text-to-video, image-to-video, first+last frame, reference-based role-play, and video editing (VACE).... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 123 次。
如何安装 qwencloud-video-generation？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install qwencloud-video-generation」即可一键安装，无需额外配置。
qwencloud-video-generation 是免费的吗？
是的，qwencloud-video-generation 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
qwencloud-video-generation 支持哪些平台？
qwencloud-video-generation 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 qwencloud-video-generation？
由 Cuixiaoyang123（@cuixiaoyang123）开发并维护，当前版本 v0.1.1。
推荐 Skills