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jimeng-openclaw-video
作者
liangshenghzj888-stack
· GitHub ↗
· v1.0.1
· MIT-0
127
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install jimeng-openclaw-video-v1-1
功能描述
Generate videos from text prompts using Jimeng OpenClaw with customizable frame counts and asynchronous task handling.
使用说明 (SKILL.md)
即梦视频生成技能
该技能包提供万界方舟即梦模型(Jimeng)的视频生成能力,支持文生视频任务。
功能特点
- 异步提交任务,支持自动轮询状态。
- 支持指定帧数(121或241)。
- 自动清理任务锁。
- 结果实时记录到
veo_result.txt。
使用方法
在 Python 中调用:
from model.scripts.video_interface import trigger_jimeng_generation
trigger_jimeng_generation("一个赛博朋克风格的城市街道")
安全使用建议
What to know before installing:
- This skill will read your OpenClaw configuration file (~/.openclaw/openclaw.json) to extract an apiKey and will send that key as the Authorization header to maas-openapi.wanjiedata.com. Ensure you are comfortable with that API key being used for remote requests and verify its scope/limits; consider creating a dedicated key with limited quota.
- The skill metadata does not declare required credentials or config paths despite this behavior — that lack of transparency is the main concern. Confirm the README requirement (putting the apiKey in ~/.openclaw/openclaw.json) before using.
- The code will pip-install the requests package automatically if missing and will launch a background Python process that writes logs, a lock file, and a result file under model/scripts/. It also tries to automatically open the generated video URL in your system browser when complete.
- The skill communicates with an external service (maas-openapi.wanjiedata.com) and writes temporary result URLs; treat those URLs as potentially temporary and inspect them before clicking. If you are unsure, run the skill in an isolated environment (container/VM) or review the openclaw.json contents and rotate API keys after testing.
- Minor inconsistencies in docs (result filename mismatch: 'veo_result.txt' vs actual 'jimeng_result.txt') suggest checking the code before trusting behavior. If you want to proceed, verify the config file and limit the API key permissions/quotas first.
功能分析
Type: OpenClaw Skill
Name: jimeng-openclaw-video-v1-1
Version: 1.0.1
The skill bundle performs high-risk actions including reading sensitive local configuration files (~/.openclaw/openclaw.json) to retrieve API keys and automatically installing dependencies via pip in video_interface.py. Additionally, jimeng_worker.py automatically opens external URLs on the host system using subprocess/os.startfile. While these behaviors are aligned with the stated purpose of generating and viewing videos via the Jimeng API (maas-openapi.wanjiedata.com), the combination of credential access, auto-installation, and automated URL execution warrants a suspicious classification.
能力标签
能力评估
Purpose & Capability
The code implements text→video submission to maas-openapi.wanjiedata.com and asynchronous polling, which matches the skill description. However metadata declares no credentials/configs while the code requires an API key stored in ~/.openclaw/openclaw.json — that mismatch is unexpected.
Instruction Scope
The runtime instructions (video_interface.py → jimeng_worker.py) read the user's OpenClaw config file (~/.openclaw/openclaw.json) to extract an apiKey and send it as an Authorization header to the remote MaaS API. The SKILL.md/README mention API key usage in README but the skill metadata did not declare any required config or credentials. Also SKILL.md mentions writing results to 'veo_result.txt' while the code uses 'jimeng_result.txt' — a documentation inconsistency.
Install Mechanism
No external archive downloads or installers. The skill will attempt to pip-install the 'requests' package at runtime if missing (via subprocess pip install). That is a moderate runtime action but traceable and expected for Python-only skills.
Credentials
The skill does not declare required env vars or config paths in its metadata, yet the code reads ~/.openclaw/openclaw.json and extracts an API key. The skill sends that API key to maas-openapi.wanjiedata.com (Authorization header). Requesting/using the user's OpenClaw API key is coherent with the service but the missing declaration is a transparency issue.
Persistence & Privilege
always:false and no modifications to other skills. The skill spawns a detached background process that creates a lock file, log, and result file under model/scripts/ while running. It also attempts to open the resulting video URL on the host (xdg-open/open/startfile), which interacts with the user's environment.
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 jimeng-openclaw-video-v1-1 - 安装完成后,直接呼叫该 Skill 的名称或使用
/jimeng-openclaw-video-v1-1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
Initial release
元数据
常见问题
jimeng-openclaw-video 是什么?
Generate videos from text prompts using Jimeng OpenClaw with customizable frame counts and asynchronous task handling. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 127 次。
如何安装 jimeng-openclaw-video?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install jimeng-openclaw-video-v1-1」即可一键安装,无需额外配置。
jimeng-openclaw-video 是免费的吗?
是的,jimeng-openclaw-video 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
jimeng-openclaw-video 支持哪些平台?
jimeng-openclaw-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 jimeng-openclaw-video?
由 liangshenghzj888-stack(@liangshenghzj888-stack)开发并维护,当前版本 v1.0.1。
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