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在 OpenClaw 中安装
/install openclaw-video-pipeline
功能描述
OpenClaw two-step pipeline: (1) expand a user brief into a three-shot storyboard and save it to storyboard/storyboard.json at project root, (2) run python3 s...
安全使用建议
This skill appears to do what it says: produce a storyboard JSON and call the Zhipu (open.bigmodel.cn) video-generation API three times. Before installing/using it: (1) confirm and supply ZHIPUAI_API_KEY in your environment (the metadata omitted this requirement), (2) do not commit your API key to the repo (SKILL.md already warns this), (3) be aware the agent will write storyboard/storyboard.json at the project root and may download three MP4s to an output directory you specify, and (4) verify you trust the remote API (open.bigmodel.cn) since prompts and generated media are sent/received over the network. If you need higher assurance, request the maintainer update the package metadata to declare the required env var and perform a code review in a safe/test repository first.
功能分析
Type: OpenClaw Skill
Name: openclaw-video-pipeline
Version: 1.0.1
The skill provides a legitimate two-step pipeline for generating 30-second videos using the Zhipu CogVideoX-3 API. The Python script (scripts/video-generate.py) uses standard libraries to handle asynchronous API requests, polling, and optional file downloads, while the SKILL.md provides clear instructions for the agent to manage the storyboard JSON. No evidence of malicious intent, data exfiltration, or risky command execution was found.
能力评估
Purpose & Capability
The skill name/description (three 10s segments via CogVideoX-3) aligns with the included script and SKILL.md: the script reads a storyboard JSON and calls the open.bigmodel.cn async video API three times. However, the registry metadata lists no required environment variables or primary credential while the runtime instructions and script require ZHIPUAI_API_KEY — this metadata omission is an inconsistency.
Instruction Scope
SKILL.md clearly limits behavior to (1) writing storyboard/storyboard.json in the project root and (2) running scripts/video-generate.py to call the CogVideoX-3 REST API. It does not instruct reading unrelated system files or sending data to unexpected endpoints; network calls go to open.bigmodel.cn as documented. Note: the agent will create files in the repository root (storyboard/ and optional downloaded MP4s).
Install Mechanism
There is no install spec (instruction-only with a single Python script). The script uses only Python stdlib (with optional certifi) and performs HTTPS requests; no remote code downloads or archive extraction are present.
Credentials
At runtime the script requires ZHIPUAI_API_KEY (and optionally BIGMODEL_API_BASE). That credential is proportional to the described functionality. The concern is that the skill registry metadata did not declare this required environment variable or primary credential, which is a mismatch that could lead to unexpected failures or misconfiguration and should be corrected/confirmed before use.
Persistence & Privilege
The skill does not request permanent installation, does not set always:true, and does not modify other skills or system-wide settings. It runs on-demand and has typical network access for an API-backed task.
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 openclaw-video-pipeline - 安装完成后，直接呼叫该 Skill 的名称或使用
/openclaw-video-pipeline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 default storyboard file path and directory for improved workflow:**
- Now saves the storyboard JSON to storyboard/storyboard.json in the project root.
- video-generate.py will, by default, read from storyboard/storyboard.json if no input is specified.
- Added directory creation guidance for storyboard/.
- Documentation updated to clarify new default paths and simplify recommended usage.
- No changes to API or script logic; only file outputs and documentation updated for consistency and ease of use.
v1.0.0
OpenClaw video pipeline initial release:
- Introduces a two-step pipeline for 30-second videos: expands a user brief into a 3-shot storyboard, then generates 3 video segments using Zhipu CogVideoX-3.
- Provides detailed JSON schema and example prompts to ensure visual and narrative consistency across three 10-second video segments.
- Includes instructions for running generation scripts and setting required environment variables.
- Requires manual post-processing to concatenate three resulting videos into a single 30s clip.
- Links to official CogVideoX-3 documentation for further guidance.
元数据
常见问题
video 生成流水线 是什么？
OpenClaw two-step pipeline: (1) expand a user brief into a three-shot storyboard and save it to storyboard/storyboard.json at project root, (2) run python3 s... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 107 次。
如何安装 video 生成流水线？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-video-pipeline」即可一键安装，无需额外配置。
video 生成流水线 是免费的吗？
是的，video 生成流水线 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
video 生成流水线 支持哪些平台？
video 生成流水线 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 video 生成流水线？
由 King（@ilaus）开发并维护，当前版本 v1.0.1。
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