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Install in OpenClaw
/install story-video-skill
Description
当用户提到以下内容时触发此技能: 把故事做成视频、生成视频、故事视频、AI视频制作、文生视频、图生视频、剧本转视频、分镜生成、分镜头、导演分镜、编剧分析、故事分镜、需要分镜、给视频分镜、拍成视频、拍成分镜、generate video、story to video、video generation、video s...
Usage Guidance
This skill appears to implement a legitimate story→video pipeline that uses a MiniMax API key. Before installing: 1) Confirm the skill source/trustworthiness (owner slug looks unknown). 2) Inspect SKILL.md and scripts locally for invisible characters (use cat -v, od -c, or a hex editor) and review the Python scripts (they call only MiniMax endpoints and ffmpeg). 3) Resolve metadata mismatches — the registry claims no required env vars but SKILL.md/README require MINIMAX_API_KEY. 4) Run the code in an isolated environment (container or VM) and do not supply high-privilege credentials — provide only a dedicated MiniMax API key with limited quota. 5) Be aware of cost/rate limits described in the README and ensure network access and ffmpeg are configured. If you lack the ability to review code, treat this package as higher risk and avoid granting it credentials or running it on sensitive hosts.
Capability Analysis
Type: OpenClaw Skill
Name: story-video-skill
Version: 1.5.1
The skill bundle provides a functional pipeline for AI video generation using the MiniMax API, but it includes high-risk system-level operations. Specifically, 'scripts/merge_videos.py' contains an 'install_ffmpeg' function that attempts to execute 'sudo apt-get install' or 'brew install' to modify the host system's software. Additionally, several scripts ('full_pipeline.py', 'merge_videos.py', etc.) make extensive use of 'subprocess.run' to execute system commands. While these capabilities are plausibly needed for the stated purpose of processing video and managing dependencies, the use of 'sudo' and the potential for system modification through automated scripts represent broad permissions that warrant a suspicious classification.
Capability Tags
Capability Assessment
Purpose & Capability
The skill's declared runtime behavior (generate shots.json, call MiniMax T2I and I2V, merge with ffmpeg) matches its name and description; requesting a MiniMax API key is appropriate for the stated purpose. However the registry metadata at the top of the evaluation (which listed no required env vars / no primary credential) contradicts the SKILL.md and README that both require MINIMAX_API_KEY. The manifest also contains duplicated file listings, which suggests sloppy packaging.
Instruction Scope
SKILL.md and the scripts confine actions to: parsing story text, calling the MiniMax API endpoints, downloading generated assets, and running ffmpeg to merge clips. There is no code or instruction to read unrelated system credentials or external endpoints beyond MiniMax. However SKILL.md contains detected unicode-control-chars (prompt-injection signal) embedded in the skill docs; invisible control characters can be used to manipulate prompt processing or hide content and should be inspected. The runtime scripts write outputs under the skill directory and /tmp, which is expected for this workload.
Install Mechanism
There is no install spec (no package manager downloads), which is lower risk. But this skill ships many Python scripts as part of the skill bundle — it's not truly 'instruction-only' despite the metadata claiming no install. Because code will be present on disk and executed by the agent (Python + ffmpeg), verify code before running. No remote install URLs or obscure download hosts were found in the included files.
Credentials
The only declared required secret is MINIMAX_API_KEY (plus optional MINIMAX_BASE_URL/MINIMAX_IMAGE_URL) which is proportional to a service-integration skill. The inconsistency between registry 'required env vars: none' and SKILL.md's required_environment_variables is concerning and should be resolved. No unrelated credentials (AWS, GitHub, etc.) are requested.
Persistence & Privilege
always is false and the skill does not request to modify other skills or system-wide settings. It writes outputs under its own output/ directory and /tmp only. Default autonomous invocation is allowed (platform-normal) and not combined with other major red flags.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install story-video-skill - After installation, invoke the skill by name or use
/story-video-skill - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.5.1
story-video-skill 1.5.1
- 精简和重写 SKILL.md,突出分镜到成片的全流程自动化能力。
- 简化技能描述,去除详细分步交互和旧API细节,明确脚本与目录结构。
- 更新 trigger 关键词,增强多样分镜/剧本/视频生成等用词支持。
- 添加/说明 `MINIMAX_IMAGE_URL` 可选环境变量。
- 编剧与导演体系保持专业知识简介,优化分镜设计与视觉风格原则。
v1.5.0
story-video-skill v1.5.0
- 支持通过 MINIMAX_BASE_URL 环境变量自定义 MiniMax API 域名,方便企业私有化部署或自建代理。
- 优化 MiniMax API 调用流程,兼容环境变量自动切换。
- 更新 SKILL.md 文档,增加 MINIMAX_BASE_URL 用法说明。
- 代码结构优化,去除无用依赖。
- 小幅提升程序稳定性和易用性。
v1.4.0
story-video-skill 1.4.0
- 增强首轮交互:新增智能判断用户输入故事是否完整,自动决定是否需要确认续写/补全需求,优化初始交互体验
- 对交互流程文档进行了详细更新,明确 Step 0 完整故事判断标准与处理逻辑
- 优化说明:对“需求确认”流程、典型完整/不完整故事特征进行说明
- 其他文档表述和交互细节修订,保持流程一致性
v1.3.0
story-video-skill v1.3.0
- Added detailed step-by-step interactive workflow for users, including storyline confirmation and scheme selection.
- Now explicitly generates three different script and storyboard plans (A/B/C) for user choice at each phase.
- Describes a five-step user journey: demand confirmation, script expansion, storyboard scheme, storyboard confirmation, image and video production.
- Added requirement for the `requests` Python package.
- Updated documentation to emphasize MiniMax API token usage and account balance requirement.
- Enhanced warning notices about sensitive content and API usage limitations.
v1.2.2
Version 1.2.2
- 新增自动生成 SRT 字幕文件并可烧录进视频的功能(通过 `--subtitles`)。
- `merge_videos.py` 支持合并视频时添加字幕和生成 SRT 文件。
- 文档(SKILL.md)更新:快速开始指令与能力说明同步字幕相关内容。
v1.2.1
No changes detected in this version (1.2.1). Functionality and documentation remain the same as version 1.2.0.
v1.2.0
## story-video-skill v1.2.0
- New: Added strict sensitive content filtering guidelines for MiniMax I2V stage, with clear replacement word lists and review checklists.
- Added new end-to-end pipeline scripts for fully automated video generation (`full_pipeline.py`, `full_pipeline_v2.py`).
- Updated documentation to emphasize compliance with MiniMax's content policies and expanded usage examples.
- Major cleanup: Removed large reference and example datasets for a lighter installation.
- Refined quickstart and API documentation for MiniMax T2I/I2V including real request/response examples and best practices.
v1.1.1
- Removed unused reference scripts and analysis files for screenplay extraction.
- Updated documentation (SKILL.md) to reflect current usage and feature set.
- No user-facing functional changes; internal references and documentation streamlined.
v1.1.0
story-video-skill v1.1.0
- Major refactor: all references and resource files are now organized under story-video-skill/, significantly restructuring the skill layout.
- Expanded internal references: added professional knowledge bases for directing, cinematography, screenwriting, and API usage, including sample scripts and terminology.
- Installation flow clarified: added required/optional environment variables and command requirements in the manifest.
- Updated documentation paths and quickstart commands (now using ~/.hermes/skills/ instead of ~/.claude/skills/).
- Cleanup: removed duplicate or old reference files from the top-level references directory.
v1.0.0
story-video-skill 1.0.0 - 首次发布
- 全新 AI 视频制作流水线,具备专业编剧与导演能力
- 支持文本故事自动分析结构、人物弧线、对话与场景冲突
- 一键生成专业分镜头脚本,自动规划镜头语言、景别、运镜与视觉风格
- 集成 MiniMax 文生图和图生视频 API,ffmpeg 自动合成最终视频
- 明确区分视频制作与API调用/单张图片需求,适配多类影视创作场景
Metadata
Frequently Asked Questions
What is Story Video Skill?
当用户提到以下内容时触发此技能: 把故事做成视频、生成视频、故事视频、AI视频制作、文生视频、图生视频、剧本转视频、分镜生成、分镜头、导演分镜、编剧分析、故事分镜、需要分镜、给视频分镜、拍成视频、拍成分镜、generate video、story to video、video generation、video s... It is an AI Agent Skill for Claude Code / OpenClaw, with 141 downloads so far.
How do I install Story Video Skill?
Run "/install story-video-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Story Video Skill free?
Yes, Story Video Skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Story Video Skill support?
Story Video Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Story Video Skill?
It is built and maintained by yhongm (@yhongm); the current version is v1.5.1.
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