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Agent Skill · 研究检索

gettr-transcribe-summarize(gettr 转录总结)

gettr-transcribe-summarize 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

gettr-transcribe-summarize 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 30,012。

总安装 2,954周安装 87GitHub Stars 公开资料未说明下载 670核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:gettr-transcribe-summarize(gettr 转录总结)
来源仓库:https://github.com/clawdbot/skills
仓库路径:skills/gettr-transcribe-summarize
安装命令:
npx skills add clawdbot/skills --skill "gettr-transcribe-summarize"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add clawdbot/skills --skill "gettr-transcribe-summarize"

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

发现并推荐具备转录与摘要能力的AI代理技能。gettr-transcribe-summarize 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合需要处理音频会议、播客或访谈内容的场景。返回技能列表涵盖实时转写、多语种支持与关键点提取特性。部分技能依赖云端ASR服务,需联网且可能产生调用费用。

注意:隐私敏感录音建议在本地部署方案中处理,避免上传第三方服务器。

来源仓库内路径:skills/gettr-transcribe-summarize

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add clawdbot/skills --skill "gettr-transcribe-summarize";命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

gettr-transcribe-summarize 怎么安装?

在终端执行 npx skills add clawdbot/skills --skill "gettr-transcribe-summarize"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

gettr-transcribe-summarize 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

gettr-transcribe-summarize 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

gettr-transcribe-summarize 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

gettr-transcribe-summarize 用的人多吗?

公开数据是累计安装 2,954 次,近一周安装 87 次,下载 670 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

gettr-transcribe-summarize 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
gettr-transcribe-summarize

gettr 转录总结 · 本页

2,954—操作浏览器MIT未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
gettr-transcribe-summarize
description
Download audio from a GETTR post (via HTML og:video), transcribe it locally with MLX Whisper on Apple Silicon (with timestamps via VTT), and summarize the transcript into bullet points and/or a timestamped outline. Use when given a GETTR post URL and asked to produce a transcript or summary.
homepage
https://gettr.com
metadata
{"clawdbot":{"emoji":"📺","requires":{"bins":["mlx_whisper","ffmpeg"]},"install":[{"id":"mlx-whisper","kind":"pip","package":"mlx-whisper","bins":["mlx_whisper"],"label":"Install mlx-whisper (pip)"},{"id":"ffmpeg","kind":"brew","formula":"ffmpeg","bins":["ffmpeg"],"label":"Install ffmpeg (brew)"}]}}

Gettr Transcribe + Summarize (MLX Whisper)

Quick start

# 1. Parse the slug from the URL (just read it — no script needed)
#    https://gettr.com/post/p1abc2def  → slug = p1abc2def
#    https://gettr.com/streaming/p3xyz → slug = p3xyz

# 2. Get the video URL
#    For /post/ URLs: use the extraction script
python3 scripts/extract_gettr_og_video.py "<GETTR_POST_URL>"

#    For /streaming/ URLs: use browser automation directly (extraction script is unreliable)
#    See Step 1 below for browser automation instructions

# 3. Run download + transcription pipeline
bash scripts/run_pipeline.sh "<VIDEO_URL>" "<SLUG>"

To explicitly set the transcription language (recommended for non-English content):

bash scripts/run_pipeline.sh --language zh "<VIDEO_URL>" "<SLUG>"

Common language codes: zh (Chinese), en (English), ja (Japanese), ko (Korean), es (Spanish), fr (French), de (German), ru (Russian).

This outputs:

  • ./out/gettr-transcribe-summarize/<slug>/audio.wav
  • ./out/gettr-transcribe-summarize/<slug>/audio.vtt

Then proceed to Step 3 (Summarize) to generate the final deliverable.


Workflow (GETTR URL → transcript → summary)

Inputs to confirm

Ask for:

  • GETTR post URL
  • Output format: bullets only or bullets + timestamped outline
  • Summary size: short, medium (default), or detailed
  • Language (optional): if the video is non-English and auto-detection fails, ask for the language code (e.g., zh for Chinese)

Notes:

  • This skill does not handle authentication-gated GETTR posts.
  • This skill does not translate; outputs stay in the video's original language.
  • If transcription quality is poor or mixed with English, re-run with explicit --language flag.

Prereqs (local)

  • mlx_whisper installed and on PATH
  • ffmpeg installed (recommended: brew install ffmpeg)

Step 0 — Parse the slug and pick an output directory

Parse the slug directly from the GETTR URL — just read the last path segment, no script needed:

  • https://gettr.com/post/p1abc2def → slug = p1abc2def
  • https://gettr.com/streaming/p3xyz789 → slug = p3xyz789

Output directory: ./out/gettr-transcribe-summarize/<slug>/

Directory structure:

  • ./out/gettr-transcribe-summarize/<slug>/audio.wav
  • ./out/gettr-transcribe-summarize/<slug>/audio.vtt
  • ./out/gettr-transcribe-summarize/<slug>/summary.md

Step 1 — Get the video URL

The approach depends on the URL type:

For /post/ URLs — Use the extraction script

Run the extraction script to get the video URL from the post HTML:

python3 scripts/extract_gettr_og_video.py "<GETTR_POST_URL>"

This prints the best candidate video URL (often an HLS .m3u8) to stdout.

If extraction fails, ask the user to provide the .m3u8/MP4 URL directly (common if the post is private/gated or the HTML is dynamic).

For /streaming/ URLs — Use browser automation directly

Do not use the extraction script for streaming URLs. The og:video URL from static HTML extraction is unreliable for streaming content — it either fails outright or the download stalls and fails near the end.

Instead, use browser automation to get a fresh, dynamically-signed URL:

  1. Open the GETTR streaming URL and wait for the page to fully load (JavaScript must execute)
  2. Extract the og:video meta tag content from the rendered DOM:
   document.querySelector('meta[property="og:video"]').getAttribute('content')
  1. Use that fresh URL for the pipeline in Step 2

If browser automation is not available or fails, see references/troubleshooting.md for how to guide the user to manually extract the fresh URL from their browser.

Step 2 — Run the pipeline (download + transcribe)

Feed the extracted video URL and slug into the pipeline:

bash scripts/run_pipeline.sh "<VIDEO_URL>" "<SLUG>"

To explicitly set the language (recommended when auto-detection fails):

bash scripts/run_pipeline.sh --language zh "<VIDEO_URL>" "<SLUG>"

The pipeline does two things:

  1. Downloads audio as 16kHz mono WAV via ffmpeg
  2. Transcribes with MLX Whisper, outputting VTT with timestamps
If the pipeline fails with HTTP 412 (stale signed URL)

This error occurs with /streaming/ URLs when the signed URL has expired. If browser automation returned a stale URL, retry by re-running browser automation to get a fresh URL, then retry the pipeline.

If browser automation is not available or fails, see references/troubleshooting.md for how to guide the user to manually extract the fresh URL from their browser.

Notes:

  • By default, language is auto-detected. For non-English content where detection fails, use --language.
  • If too slow or memory-heavy, try smaller models: mlx-community/whisper-medium or mlx-community/whisper-small.
  • If quality is poor, try the full model: mlx-community/whisper-large-v3 (slower but more accurate).
  • If --word-timestamps causes issues, the pipeline retries automatically without it.

Step 3 — Summarize

Write the final deliverable to ./out/gettr-transcribe-summarize/<slug>/summary.md.

Pick a summary size (user-selectable):

  • Short: 5–8 bullets; (if outline) 4–6 sections
  • Medium (default): 8–20 bullets; (if outline) 6–15 sections
  • Detailed: 20–40 bullets; (if outline) 15–30 sections

Include:

  • Bullets (per size above)
  • Optional timestamped outline (per size above)

Timestamped outline format (default heading style):

[00:00 - 02:15] Section heading
- 1–3 sub-bullets

When building the outline from VTT cues:

  • Group adjacent cues into coherent sections.
  • Use the start time of the first cue and end time of the last cue in the section.

Bundled scripts

  • scripts/run_pipeline.sh: download + transcription pipeline (takes a video URL and slug)
  • scripts/extract_gettr_og_video.py: fetch GETTR HTML and extract the og:video URL (with retry/backoff)
  • scripts/download_audio.sh: download/extract audio from HLS or MP4 URL to 16kHz mono WAV

Error handling

  • Non-video posts: The extraction script detects image/text posts and provides a helpful error message.
  • Network errors: Automatic retry with exponential backoff (up to 3 attempts).
  • No audio track: The download script validates output and reports if the source has no audio.
  • HTTP 412 errors: Occurs with /streaming/ URLs when the signed URL has expired. Re-run browser automation to get a fresh URL (see Step 1); if that fails, see references/troubleshooting.md.

Troubleshooting

See references/troubleshooting.md for detailed solutions to common issues including:

  • HTTP 412 errors (stale signed URLs)
  • Extraction failures
  • Download errors
  • Transcription quality issues

平台分布

OpenCode

26.19%
按下载量换算175

windsurf

23.26%
按下载量换算156

clawdbot

18.61%
按下载量换算125

Codex

13.18%
按下载量换算88

Claude Code

8.06%
按下载量换算54

Antigravity

3.16%
按下载量换算21

安全审计

暂无安全审计结果可展示。

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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