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.
npx skills add valtterimelkko/agent-workflow-skills --skill youtube-captiongit clone --depth 1 https://github.com/valtterimelkko/agent-workflow-skillsWrote 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/valtterimelkko/agent-workflow-skills/youtube-caption)<a href="https://agentmods.dev/skills/valtterimelkko/agent-workflow-skills/youtube-caption"><img src="https://agentmods.dev/badge/skills/valtterimelkko/agent-workflow-skills/youtube-caption/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/valtterimelkko/agent-workflow-skills/youtube-caption"><img src="https://agentmods.dev/badge/skills/valtterimelkko/agent-workflow-skills/youtube-caption.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 | $0.00066 | $0.01100 |
| Opus 5 | $0.00033 | $0.00550 |
| Sonnet 5 | $0.00013 | $0.00220 |
| Haiku 4.5 | $0.00007 | $0.00110 |
Grade A, and why
youtube-caption scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. **Metadata fetching**: Uses `urllib` with residential proxy (to bypass YouTube bot detection) How it starts
The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Caption Fetcher
Download captions/transcripts and metadata from any YouTube video using the youtube-transcript-api library with optional residential proxy support.
Prerequisites
Required Python package:
pip install youtube-transcript-api
Residential Proxy Credentials (auto-loaded from environment or a shell startup file):
# Reddit proxy for YouTube caption and metadata fetching
export YOUTUBE_PROXY_URL="http://username:password@host:port"
# legacy fallback also supported:
export REDDIT_PROXY_URL="http://username:password@host:port"
The skill automatically fetches these credentials from the environment or a shell startup file when caption or metadata fetching requires proxy support.
Quick Start
Fetch captions and metadata:
python3 ./scripts/fetch_caption.py --url "https://www.youtube.com/watch?v=VIDEO_ID"
Fetch only metadata (uses proxy):
python3 ./scripts/fetch_caption.py --url "https://youtu.be/VIDEO_ID" --metadata-only
Fetch captions only (uses proxy):
python3 ./scripts/fetch_caption.py --url "https://www.youtube.com/watch?v=VIDEO_ID" --captions-only
Parameters
| Parameter | Required | Default | Description |
|---|---|---|---|
--url or -u |
Yes | - | YouTube video URL (supports various formats) |
--metadata-only |
No | false | Fetch only video metadata (uses proxy) |
--captions-only |
No | false | Fetch only captions (uses proxy) |
--language or -l |
No | en | Language code for captions (e.g., en, es, fr) |
--output or -o |
No | - | Save output to JSON file |
Output Format
Returns JSON with both captions and metadata:
{
"success": true,
"video_id": "dQw4w9WgXcQ",
"url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
"metadata": {
"title": "Video Title",
"description": "Full video description...",
"channel": "Channel Name",
"channel_id": "UC...",
"published_at": "2025-01-15T10:00:00Z",
"duration": "10:30",
"duration_seconds": 630,
"view_count": 1000000,
"thumbnail": "https://i.ytimg.com/vi/...",
"links_in_description": [
"https://example.com/link1",
"https://example.com/link2"
]
},
"captions": {
"text": "Full transcript text...",
"language": "en",
"is_generated": true,
"word_count": 1500,
"duration_seconds": 630
}
}
What ships with it
1 file 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.
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.
- 10d ago First seen · 131 lines · 66 tokens per session scan A 3d5dcdfc6f41
youtube-caption is a skill published in the GitHub repository valtterimelkko/agent-workflow-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 66 tokens to every session and 1,100 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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