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Install in OpenClaw
/install video-edit-strategy
Description
分析素材与用户意图,输出结构化 JSON 剪辑策略(分镜、时间线、转场、音频、文字)。当用户要求制作短视频、混剪、或提供了素材但未给出具体剪辑指令时调用。策略输出供 ffmpeg-cli / ffmpeg-video-editor 等下游 skill 执行。
Usage Guidance
This skill appears to do what it says: create a structured JSON editing plan for provided media. Before installing or invoking it, consider: 1) The SKILL.md expects ffprobe/ffmpeg tooling but the metadata did not list required binaries — ensure your environment actually has ffprobe/ffmpeg or steps that call them will fail. 2) The skill will probe any file paths you provide (ffprobe reads local files) and will include those original paths in the generated plan; downstream execution may then read those files. Only provide paths to files you are comfortable allowing the agent and downstream skills to reference. 3) Intermediate artifacts are placed under /tmp/ve_strategy — check and clean that directory if needed. 4) The skill does not request credentials or external endpoints, but downstream executor skills (ffmpeg-cli, ffmpeg-video-editor) will perform actual file operations; only use trusted executors. 5) If you need stricter sandboxing, run this skill in an environment with limited filesystem access or only provide copies of needed files. If you want higher assurance, ask the publisher/source (not provided here) to declare required binaries and to confirm expected downstream skill mappings.
Capability Analysis
Type: OpenClaw Skill
Name: video-edit-strategy
Version: 1.0.0
The skill is designed to generate structured video editing strategies but contains a potential shell injection vulnerability in its core workflow. In SKILL.md, the agent is instructed to execute a shell command (`ffprobe`) using a template that wraps the user-provided 'INPUT_FILE' in quotes without explicit instructions for input sanitization, which could be exploited if a filename contains command-injection sequences. While the behavior is aligned with the stated purpose of video orchestration, the lack of security boundaries when interacting with the shell and the generation of complex execution plans for downstream skills (like ffmpeg-cli) qualify it as suspicious under the vulnerability criteria.
Capability Assessment
Purpose & Capability
Name/description (generate structured JSON video-edit strategies) matches the SKILL.md behavior: probing media, asking clarifying questions, and producing an execution_plan for downstream ffmpeg skills. One minor inconsistency: the instructions require running ffprobe (and assume ffmpeg tooling downstream), but the registry metadata lists no required binaries.
Instruction Scope
SKILL.md explicitly instructs probing user-provided file paths with ffprobe and to produce full JSON using original file paths and /tmp/ve_strategy for intermediates. This is expected for a strategy generator, but it does mean the agent will read metadata from arbitrary paths the user supplies and will reference those paths in outputs (which downstream executors may then read). There are no instructions to send data to external endpoints or to read unrelated system config.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest surface area. No downloads or archive extraction are present.
Credentials
The skill requests no environment variables, credentials, or config paths. All declared requirements (none) are proportional to the stated purpose. Note: it implicitly requires ffprobe/ffmpeg binaries at runtime but those are not declared in metadata.
Persistence & Privilege
always is false and the skill does not request persistent privileges or modify other skills. It only generates strategy JSON and references files under /tmp/ve_strategy for intermediate outputs; this is within expected scope.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install video-edit-strategy - After installation, invoke the skill by name or use
/video-edit-strategy - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release: generates structured JSON editing strategies for short video creation.
- Analyzes user-provided materials and intent; auto-detects missing info and prompts for clarification.
- Follows best practices for short video structure, pacing, and transitions based on popular platform standards.
- Output includes detailed editing plan: materials, timeline, transitions, audio, text overlays, and step-by-step execution instructions.
- Designed for seamless downstream integration with editors like ffmpeg-cli and ffmpeg-video-editor.
Metadata
Frequently Asked Questions
What is video-edit-strategy?
分析素材与用户意图,输出结构化 JSON 剪辑策略(分镜、时间线、转场、音频、文字)。当用户要求制作短视频、混剪、或提供了素材但未给出具体剪辑指令时调用。策略输出供 ffmpeg-cli / ffmpeg-video-editor 等下游 skill 执行。 It is an AI Agent Skill for Claude Code / OpenClaw, with 286 downloads so far.
How do I install video-edit-strategy?
Run "/install video-edit-strategy" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is video-edit-strategy free?
Yes, video-edit-strategy is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does video-edit-strategy support?
video-edit-strategy is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created video-edit-strategy?
It is built and maintained by Elk (@se7enelk); the current version is v1.0.0.
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