What is transcribe-and-analyze?

A local tool that turns audio or video from a URL, such as YouTube, into written text using WhisperKit. It can also analyze the transcript with OpenAI or Ollama when requested.

Use it to transcribe videos, interviews, meetings, podcasts, and other media from URLs. You can save transcripts with or without timestamps, choose an accuracy level, and request a follow-up analysis.

It removes the need to listen through recordings manually or send them to a separate transcription service. Keeping transcription local can also make the workflow available without relying on an online transcription service.

transcribe-and-analyze — Skill for Claude Code and Codex by buddyh

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add buddyh/agent-skills --skill transcribe-and-analyze

Clone the repo

git clone --depth 1 https://github.com/buddyh/agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/buddyh/agent-skills/transcribe-and-analyze/github.svg)](https://agentmods.dev/skills/buddyh/agent-skills/transcribe-and-analyze)

Your own site

<a href="https://agentmods.dev/skills/buddyh/agent-skills/transcribe-and-analyze"><img src="https://agentmods.dev/badge/skills/buddyh/agent-skills/transcribe-and-analyze/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/buddyh/agent-skills/transcribe-and-analyze"><img src="https://agentmods.dev/badge/skills/buddyh/agent-skills/transcribe-and-analyze.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,454 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 100% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00053	$0.01454
Opus 5	$0.00026	$0.00727
Sonnet 5	$0.00011	$0.00291
Haiku 4.5	$0.00005	$0.00145

Measured 11d ago against content hash 7daa3f4586e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

transcribe-and-analyze scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/analyze_transcript.py, scripts/transcribe.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to transcribe-and-analyze — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

transcribe-and-analyze/SKILL.md · 236 lines

How it starts

The opening of the file, as written. The whole thing — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Transcribe and Analyze

Local transcription of audio/video content using WhisperKit. Analysis is available on request using OpenAI or local Ollama.

Capabilities

Transcription - Convert audio/video URLs to text using WhisperKit (runs locally, always available)
Analysis - Extract insights from transcripts (only when user asks for it, supports OpenAI or Ollama)

Quick Start

Transcribe Only

python3 scripts/transcribe.py "https://youtube.com/watch?v=..."

Transcribe + Analyze (OpenAI)

python3 scripts/transcribe.py "https://youtube.com/watch?v=..."
python3 scripts/analyze_transcript.py whisper-transcriptions/video.md

Transcribe + Analyze (Local)

python3 scripts/transcribe.py "https://youtube.com/watch?v=..."
python3 scripts/analyze_transcript.py whisper-transcriptions/video.md --local

Transcription

Script Options

# Basic
python3 scripts/transcribe.py "URL"

# Custom output directory
python3 scripts/transcribe.py "URL" --output-dir "/path/to/save"

# Higher accuracy (slower)
python3 scripts/transcribe.py "URL" --model medium

# Without timestamps
python3 scripts/transcribe.py "URL" --no-timestamps

# Custom filename
python3 scripts/transcribe.py "URL" --filename "my-transcription.md"

Whisper Models

Model	Speed	Accuracy	Use Case
`tiny`	Fastest	Lowest	Quick drafts, testing
`base`	Fast	Reasonable	Simple content
`small`	Balanced	Good	Default - most use cases
`medium`	Slower	High	Lectures, important content
`large`	Slowest	Highest	Critical accuracy needed

Dependencies

yt-dlp - pip install yt-dlp or brew install yt-dlp
whisperkit-cli - https://github.com/argmaxinc/WhisperKit

Script checks for these and provides install instructions if missing.

Output

Transcriptions save to ./whisper-transcriptions/ as markdown:

# Transcription

**Source:** https://youtube.com/watch?v=example
**Transcribed:** 2025-01-15 14:30:00
**Tool:** WhisperKit

---

[00:00:00.000 --> 00:00:05.000] Welcome to this video...

Read the full file on GitHub · 236 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

11d ago First seen · 236 lines · 53 tokens per session scan A 7daa3f4586e9

Subscribe to this mod's changes

transcribe-and-analyze is a skill published in the GitHub repository buddyh/agent-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 53 tokens to every session and 1,454 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to transcribe-and-analyze, differing in 0 lines, and is treated as a copy.

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