← 返回 Skills 市场
161
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-clip-editor
功能描述
Video clip editing skill for automatically analyzing video content and generating CapCut draft templates. Uses local Whisper for speech transcription, Qwen-V...
安全使用建议
Key things to consider before installing or running this skill:
- Network/data exfiltration: The code extracts frames and text and will send them to external APIs (Qwen-VL endpoint, Anthropic/Claude, edge-tts). If you will process private or copyrighted video, assume those fragments may be transmitted to third parties unless you review and disable those calls.
- Undeclared requirements: The skill uses ffmpeg/ffprobe and will attempt to pip-install packages at runtime. The registry metadata does not declare these dependencies or install steps. Running it may modify your Python environment (the scripts use --break-system-packages).
- Credentials: The scripts look for QWEN_API_KEY and ANTHROPIC_API_KEY (and will use them if present). The package did not declare these env vars. Only provide API keys if you trust the skill and understand which remote services will receive your data.
- Mitigations: Run the skill in a sandboxed environment or VM, inspect the code locally, or run with network disabled if you only want local Whisper/edge-tts. Prefer creating an isolated Python virtualenv before running so the automatic pip installs cannot alter your system Python. Ask the publisher to update the registry metadata to declare required binaries, explicit optional env vars, and a proper install spec.
- When in doubt: do not supply API keys or private video to this skill until the above inconsistencies are resolved or you run it in an isolated/safe environment.
功能分析
Type: OpenClaw Skill
Name: video-clip-editor
Version: 1.0.0
The skill bundle provides complex video editing and CapCut draft generation capabilities but includes several high-risk behaviors. Multiple scripts (e.g., build_payload.py, narration_audio.py, and whisper_transcribe.py) contain logic to automatically install Python dependencies via 'pip' using the '--break-system-packages' flag, which can compromise the host environment's integrity. The skill also performs broad file system operations, such as scanning local JianYing/CapCut application directories for project conflict resolution, and makes extensive use of 'subprocess' to execute external binaries like ffmpeg and ffprobe. While these actions are aligned with the stated purpose, the combination of auto-installers, shell execution, and communication with multiple external APIs (Anthropic, DashScope, and Vectcut) represents a significant attack surface.
能力评估
Purpose & Capability
The skill claims local Whisper + Qwen-VL-Plus + edge-tts for editing and the scripts implement exactly those capabilities. However the registry metadata declares no required binaries (ffmpeg/ffprobe) or env vars even though SKILL.md and scripts explicitly call ffmpeg/ffprobe and reference API keys (QWEN_API_KEY, ANTHROPIC_API_KEY). Omitting those required runtime dependencies/credentials in metadata is an incoherence.
Instruction Scope
Runtime instructions and scripts access local filesystem paths (video file paths and JianYing draft directories), run ffprobe/ffmpeg, extract frames, and construct draft files — all reasonable for video editing. But the instructions/code also send base64-encoded frames and narration prompts to remote services (Qwen-VL endpoint, Anthropic/Claude, edge-tts). That means user video/audio and derived text may be transmitted externally; SKILL.md does not clearly warn or require consent for that transmission.
Install Mechanism
The skill has no declared install spec, but multiple scripts attempt runtime pip installs (openai, anthropic, edge-tts, etc.) using flags like --break-system-packages; these will modify the Python environment without prior declaration. Dynamic installation behavior increases risk and should have been declared in the registry install spec.
Credentials
The registry lists no required env vars, yet code references API keys (QWEN_API_KEY, ANTHROPIC_API_KEY) and will use them if present. Those keys are relevant to the described remote-model features, but not declaring them in metadata is inconsistent and hides the fact that secrets could be used/exfiltrated. No unrelated credentials (AWS, etc.) are requested — so the keys are plausible for the feature, but their absence from metadata is a transparency issue.
Persistence & Privilege
The skill does not request always:true or force installation, and it does not attempt to modify other skills or global agent configuration. It writes output files and checks local JianYing draft directories (expected for its purpose).
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 video-clip-editor - 安装完成后,直接呼叫该 Skill 的名称或使用
/video-clip-editor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
v1.0.0
video-clip-editor v1.0.0
- Initial release: Automates video content analysis and generates CapCut draft templates with precise output requirements.
- Provides two operating modes: cinematic narration from movie names or jump-cut editing from real speech videos.
- Integrates local Whisper for speech transcription, Qwen-VL-Plus for scene description, and edge-tts for narration synthesis.
- Intelligently splits content by dialogue, keywords, or highlights, and applies koubo jump-cut editing.
- Strictly outputs four files per run: narration MP3(s), subtitles.srt, video clips (mp4), and CapCut draft_content.json, with time alignment enforced.
- Handles draft project name conflicts with automatic renaming and user confirmation.
元数据
常见问题
clip-editor 是什么?
Video clip editing skill for automatically analyzing video content and generating CapCut draft templates. Uses local Whisper for speech transcription, Qwen-V... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 161 次。
如何安装 clip-editor?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-clip-editor」即可一键安装,无需额外配置。
clip-editor 是免费的吗?
是的,clip-editor 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
clip-editor 支持哪些平台?
clip-editor 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 clip-editor?
由 RicLinccc(@riclinccc)开发并维护,当前版本 v1.0.0。
推荐 Skills