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video-transcript-pro
作者
Yi,Li (李祎)
· GitHub ↗
· v2.3.0
· MIT-0
160
总下载
1
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install video-transcript-pro
功能描述
自动转录视频音频,智能修正润色并生成逐字稿及知乎、微信、小红书多平台发布稿,支持用户个性化定制。
安全使用建议
The skill appears to do what it claims (local faster-whisper transcription + automated polishing and multi-platform formatting). Before installing, consider: 1) Privacy — SKILL.md says it will perform automatic web searches to add background info and will do so without asking; if your transcripts contain sensitive data that could be sent to external search endpoints, disable browsing/web tools or avoid using this skill for sensitive content. 2) Local requirements — it expects Python and faster-whisper/ctranslate2; models and GPU libraries may be downloaded/used locally. 3) Persistence — it saves user preferences to MEMORY.md in the working directory. 4) Behavior control — the skill auto-continues after a 3-minute timeout; if you want manual approval for network lookups or publication, change that workflow or monitor the session. If you require higher assurance, review the two Python files and run the scripts in an isolated/test environment with non-sensitive sample files first.
功能分析
Type: OpenClaw Skill
Name: video-transcript-pro
Version: 2.3.0
The skill provides a legitimate workflow for video transcription and content optimization but is classified as suspicious due to high-risk autonomous behaviors and broad capabilities. Specifically, SKILL.md instructs the agent to automatically proceed with execution after a 3-minute timeout without user confirmation, which could lead to unintended resource consumption or actions. Additionally, the skill utilizes risky capabilities such as shell execution (transcribe_simple.py and transcribe_segmented.py) and network access (web_search/web_fetch), which, while aligned with the stated purpose, increase the overall attack surface. The Python scripts themselves appear functional and lack intentional malware, but the lack of input validation on command-line arguments and the autonomous instructions in the markdown files represent a vulnerability-prone design.
能力评估
Purpose & Capability
Name/description (video/audio transcription, polishing, multi-platform outputs) match the included files: two Python transcription scripts using faster-whisper/faster_whisper and a detailed SKILL.md. Required binaries/credentials/configs are none — proportionate for a local transcription skill that expects Python and Whisper-related packages.
Instruction Scope
SKILL.md stays on-task (transcribe → auto-correct → polish → format for platforms). It instructs the agent to perform automatic web searches ('知识补充(联网搜索)') without asking the user and to record user preferences in MEMORY.md. That behavior is plausible for improving outputs but means transcript content may be sent to external search/fetch tools (depending on the agent's browsing/web tools). Also the skill auto-continues after 3 minutes if the user doesn't reply.
Install Mechanism
No install spec is provided (instruction-only + Python scripts). The code depends on faster-whisper/ctranslate2/Whisper-style models which are expected for this purpose; model downloads and native GPU libraries are normal for Whisper usage. There are no downloads from untrusted URLs in the package manifest.
Credentials
The skill declares no required environment variables or credentials. The scripts access local files and GPU libraries (DLL paths) which is appropriate. One operational note: SKILL.md expects to use web_search/web_fetch but declares no API keys — the agent will rely on whatever browsing/web tools are available, which could cause network transmission of transcript text if enabled.
Persistence & Privilege
always:false (no forced global presence). The skill writes/reads a local MEMORY.md to remember user preferences (explicit in SKILL.md), which is reasonable but is persistent local state. The combination of auto-continue (3-minute timeout) and Automatic web searches means the skill can act autonomously on user content unless the agent's web/tools are restricted.
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-transcript-pro - 安装完成后,直接呼叫该 Skill 的名称或使用
/video-transcript-pro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
v2.3.0
v2.3: 完善多平台发布稿字数对照表,增强金句提取规则,添加配图提示词规范
v2.2.0
优化版/知乎/微信/小红书字数要求全部增加50%,支持多平台输出
元数据
常见问题
video-transcript-pro 是什么?
自动转录视频音频,智能修正润色并生成逐字稿及知乎、微信、小红书多平台发布稿,支持用户个性化定制。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 160 次。
如何安装 video-transcript-pro?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-transcript-pro」即可一键安装,无需额外配置。
video-transcript-pro 是免费的吗?
是的,video-transcript-pro 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
video-transcript-pro 支持哪些平台?
video-transcript-pro 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-transcript-pro?
由 Yi,Li (李祎)(@artminding)开发并维护,当前版本 v2.3.0。
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