Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/jpoutrin/product-forgenpx agentmods add skills/jpoutrin/product-forge/fetch-youtube-transcriptWrote 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.
[](https://agentmods.dev/skills/jpoutrin/product-forge/fetch-youtube-transcript)<a href="https://agentmods.dev/skills/jpoutrin/product-forge/fetch-youtube-transcript"><img src="https://agentmods.dev/badge/skills/jpoutrin/product-forge/fetch-youtube-transcript/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.
<a href="https://agentmods.dev/skills/jpoutrin/product-forge/fetch-youtube-transcript"><img src="https://agentmods.dev/badge/skills/jpoutrin/product-forge/fetch-youtube-transcript.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00031 | $0.02933 |
| Opus 5.5 | $0.00012 | $0.01173 |
| Sonnet 5.5 | $0.00006 | $0.00587 |
| Haiku 4.5 | $0.00003 | $0.00293 |
Grade A, and why
fetch-youtube-transcript 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 469 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Transcript Download Skill
Purpose
Download transcripts from YouTube videos as readable text files with timestamps. This skill wraps the youtube-transcript-api tool with a simple interface for quick transcript extraction.
Usage
/fetch-youtube-transcript <video-url-or-id> [--output DIR] [--language LANG]
Arguments
Required
<video-url-or-id>: YouTube video URL or video ID- Full URLs:
https://www.youtube.com/watch?v=VIDEO_ID - Short URLs:
https://youtu.be/VIDEO_ID - Video ID only:
VIDEO_ID(11 characters) - URLs with timestamps and query parameters are supported
- Full URLs:
Optional
-
--output DIR: Output directory for transcript files- Default:
.work/transcripts/ - Directory will be created if it doesn't exist
- Transcript saved as
VIDEO_ID.txt
- Default:
-
--language LANG: Preferred transcript language code- Default: Auto-select (usually English if available)
- Examples:
en,es,fr,de,ja - Falls back to auto-generated if manual transcript unavailable
Execution Instructions for Claude Code
When the user invokes /fetch-youtube-transcript, follow these steps:
1. Parse Arguments
Extract the video URL/ID and optional parameters from the user's command:
# Example argument parsing logic
import re
from pathlib import Path
def parse_args(args_string):
"""Parse /fetch-youtube-transcript arguments."""
parts = args_string.split()
if not parts:
return None, None, None, "Error: Video URL or ID required"
video_url = parts[0]
output_dir = ".work/transcripts"
language = None
# Parse optional flags
i = 1
while i < len(parts):
if parts[i] == "--output" and i + 1 < len(parts):
output_dir = parts[i + 1]
i += 2
elif parts[i] == "--language" and i + 1 < len(parts):
language = parts[i + 1]
i += 2
else:
i += 1
return video_url, output_dir, language, None
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.
- 1mo ago First seen · 469 lines · 31 tokens per session scan A cdd0b42df32d
fetch-youtube-transcript is a skill published in the GitHub repository jpoutrin/product-forge (16 stars, last pushed 7mo ago), licensed MIT. It adds 31 tokens to every session and 2,933 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
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