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zuoyuting214

video-creation

作者 zuoyuting214 · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ✓ 安全检测通过
185
总下载
0
收藏
0
当前安装
3
版本数
在 OpenClaw 中安装
/install video-creation
功能描述
用户输入一个选题或口播稿,自动生成完整短视频成片(文案、分镜、数字人口播 + AI 画面混剪)。适用于「一键成片」「根据选题做视频」等场景。当前 skill 已内聚 TTS、数字人视频生成与 AI 文生视频调用能力。
安全使用建议
This skill appears internally coherent for generating videos using the chanjing API and local ffmpeg. Before installing: - Understand that scripts, full text/voiceover and audio files will be uploaded to https://open-api.chanjing.cc using the CHANJING_APP_ID/CHANJING_SECRET_KEY you provide — review the provider's privacy, retention, and security practices. - Only supply credentials with the minimum required scope and rotate them if possible; avoid reusing high‑privilege keys. - Run the skill in an isolated environment (container/VM) if you are concerned about exposing sensitive content. The skill will write intermediate media and final mp4 files to local disk — ensure disk space and manage sensitive outputs. - Inspect run_render.py and clients/* locally (they are included) before running; network operations are visible in those files and go to the declared API host (open-api.chanjing.cc). - If you need to prevent autonomous uploads, control when the agent invokes the skill (e.g., require user confirmation) or do not provide credentials until ready to run a job. Overall the package is consistent with its purpose; the primary operational risk is third‑party data transmission and standard local media handling rather than unexplained or unrelated accesses.
功能分析
Type: OpenClaw Skill Name: video-creation Version: 1.0.2 The video-creation skill bundle is designed to automate the generation of short videos using the Chanjing (chanjing.cc) API. The bundle includes Python clients for authentication, Text-to-Speech, digital human generation, and AI video creation, along with an orchestration script (run_render.py) that utilizes ffmpeg and ffprobe for local media processing. The code uses standard libraries (urllib, subprocess) and follows secure practices, such as passing arguments as lists to subprocess.run to mitigate shell injection risks. The SKILL.md and associated markdown templates provide detailed instructions for the AI agent to ensure content quality and adherence to API constraints without any evidence of malicious prompt injection, data exfiltration, or unauthorized access.
能力评估
Purpose & Capability
The skill is a short‑video generation pipeline that uses local ffmpeg/ffprobe and the chanjing open API. Requiring ffmpeg/ffprobe and CHANJING_APP_ID/CHANJING_SECRET_KEY aligns with the described TTS, avatar (digital human) and AI video creation capabilities; there are no unrelated environment variables or binaries requested.
Instruction Scope
SKILL.md and scripts direct the agent to: call CHANJING APIs (TTS, avatar, ai_creation), upload audio, poll tasks, download generated media, run ffprobe/ffmpeg, and write intermediate and final mp4 files locally. This behavior is consistent with the stated purpose, but it means user text/audio will be sent to the external chanjing service — a privacy/third‑party data transmission concern to be aware of.
Install Mechanism
There is no external install spec: the package is instruction/code‑only and will run local Python code. No remote install/download URLs or archive extraction were specified in the manifest, so there is no additional installer risk beyond running the included code.
Credentials
Only CHANJING_APP_ID and CHANJING_SECRET_KEY are required, which is proportional for authenticating to the chanjing API. No unrelated secrets or system config paths are requested. The code reads these env vars via clients/auth.py as expected.
Persistence & Privilege
always:false and default model invocation are used. The skill can be invoked autonomously (platform default) and will use provided CHANJING credentials to call remote APIs and upload user content; this increases blast radius if credentials are compromised or the third party is untrusted. The skill does write local intermediate files and final mp4s to disk as part of normal operation.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install video-creation
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /video-creation 触发
  4. 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
v1.0.2
Removed undocumented credential fallback and env knob references; simplified prompt limit handling and documentation.
v1.0.1
Declared runtime requirements in SKILL.md metadata, switched auth guidance to env-first, and fixed SKILL.md formatting.
v1.0.0
Refactored to internal clients; removed external skill runtime dependencies; updated tests and docs.
元数据
Slug video-creation
版本 1.0.2
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 3
常见问题

video-creation 是什么?

用户输入一个选题或口播稿,自动生成完整短视频成片(文案、分镜、数字人口播 + AI 画面混剪)。适用于「一键成片」「根据选题做视频」等场景。当前 skill 已内聚 TTS、数字人视频生成与 AI 文生视频调用能力。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 185 次。

如何安装 video-creation?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-creation」即可一键安装,无需额外配置。

video-creation 是免费的吗?

是的,video-creation 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

video-creation 支持哪些平台?

video-creation 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-creation?

由 zuoyuting214(@zuoyuting214)开发并维护,当前版本 v1.0.2。

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