What is transcript-extraction?

A research skill for extracting and cleaning transcripts from video sources, mainly YouTube. It turns captions or speech into readable text for later searching and analysis.

Getting captions or auto-generated transcripts, cleaning them, and saving readable transcript files for research.

It removes timestamps, speaker markers, and repeated filler so video-based research is easier to read and reference.

How EndogenAI/dogma configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to EndogenAI/dogma. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/EndogenAI/dogma/main/.github/skills/transcript-extraction/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/EndogenAI/dogma

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/endogenai/dogma/transcript-extraction/github.svg)](https://agentmods.dev/skills/endogenai/dogma/transcript-extraction)

Your own site

<a href="https://agentmods.dev/skills/endogenai/dogma/transcript-extraction"><img src="https://agentmods.dev/badge/skills/endogenai/dogma/transcript-extraction/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/endogenai/dogma/transcript-extraction"><img src="https://agentmods.dev/badge/skills/endogenai/dogma/transcript-extraction.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 696 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 original No closer match found 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	$0.00000	$0.00696
Opus 5.5	$0.00000	$0.00278
Sonnet 5.5	$0.00000	$0.00139
Haiku 4.5	$0.00000	$0.00070

Measured 2mo ago against content hash 96b07a779236, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

transcript-extraction 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 2mo ago.

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.

.github/skills/transcript-extraction/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SKILL: Transcript Extraction

This skill governs the extraction and cleaning of transcripts from video sources to support the Endogenous-First axiom (MANIFESTO.md § 1) by ensuring all source signals—even non-textual ones—are distilled into searchable, readable Markdown/text artifacts. It operates under the global constraints of AGENTS.md regarding file-writing and local compute.

Beliefs & Context

Information Density: Video sources often contain unique practitioner insights (demos, conference talks) not found in written docs. Distilling them into text allows for local semantic search and cross-referencing.
LCF Adherence: By caching transcripts in .cache/transcripts/, we avoid repeated network hits and high-token external model reads of video URLs.
Artifact Integrity: Transcripts must be cleaned of redundant timestamps and repetitive filler to preserve context window space.

Workflow & Intentions

1. Identify Video Source

Extract the Video ID from the URL (e.g., J5KTpq7hVn4 from https://youtu.be/J5KTpq7hVn4).

2. Verify Cache First

Check if the transcript already exists in the local cache before attempting extraction.

ls .cache/transcripts/video_<VIDEO_ID>.txt

3. Extraction Protocol

Use the designated internal script to pull the transcript. Prefer manually created English transcripts over auto-generated versions when available.

uv run python scripts/pull_yt_transcript.py <VIDEO_ID> .cache/transcripts/video_<VIDEO_ID>.txt

4. Verification Check

Confirm the file is non-empty and contains readable text.

test -s .cache/transcripts/video_<VIDEO_ID>.txt && head -n 5 .cache/transcripts/video_<VIDEO_ID>.txt

Constraints

UTF-8 Only: All extracted transcripts must be stored as UTF-8 encoded plain text.
Privacy: Only pull transcripts for public videos.
Minimal Metadata: Focus on the spoke word; omit frame data or visual descriptions unless critical to the research question.
Pathing: Always store the output in .cache/transcripts/ to ensure it is gitignored but available for the current session.

Read the full file on GitHub · 58 lines

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.

2mo ago First seen · 58 lines · 0 tokens per session scan A 96b07a779236

Subscribe to this mod's changes

transcript-extraction is a skill published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 2mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 696 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

AI Safety Research agent agents-md ai ai-governance ai-harness

transcript-extraction next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
transcript-extractionEndogenAI/dogma	Skill	2	2mo ago	Apache-2.0	A	0	Claude Code, Codex
custom-brand-designKbWen/agentic-os	Skill	227	4d ago	MIT	A	23	Claude Code, Codex
air-blackbox-sales-agentairblackbox/airblackbox	Skill	25	4d ago	Apache-2.0	A	248	Claude Code, Codex
interpret-resultsairblackbox/airblackbox	Skill	25	4d ago	Apache-2.0	A	49	Claude Code
nio-external-scorecore0-io/nio	Skill	20	13d ago	Apache-2.0	A	97	Claude Code
nio-scancore0-io/nio	Skill	20	13d ago	Apache-2.0	A	81	Claude Code
constitutional-aisynthetic-sciences/openscience	Skill	4.3k	2d ago	Apache-2.0	A	58	Claude Code, Codex

dogma: Skill for Claude Code