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 furkangonel/cowrangler --skill youtube-contentgit clone --depth 1 https://github.com/furkangonel/cowranglerWrote 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/furkangonel/cowrangler/youtube-content)<a href="https://agentmods.dev/skills/furkangonel/cowrangler/youtube-content"><img src="https://agentmods.dev/badge/skills/furkangonel/cowrangler/youtube-content/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/furkangonel/cowrangler/youtube-content"><img src="https://agentmods.dev/badge/skills/furkangonel/cowrangler/youtube-content.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 | $0.00018 | $0.02690 |
| Opus 5 | $0.00009 | $0.01345 |
| Sonnet 5 | $0.00004 | $0.00538 |
| Haiku 4.5 | $0.00002 | $0.00269 |
Grade A, and why
youtube-content scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "${YT_BASE}/$1&key=${YOUTUBE_API_KEY}" How it starts
The opening of the file, as written. The whole thing — 347 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Content SOP
Search YouTube, fetch video and channel metadata, extract transcripts, and paginate through results via the YouTube Data API v3.
When to Use
- User wants to search YouTube for videos or channels
- User wants to get video details (duration, view count, tags, description)
- User wants channel statistics or upload history
- User wants to extract a video transcript or subtitles
- User wants to paginate through a large result set
Part 1 — Setup
1. Get an API Key
- Go to https://console.cloud.google.com
- Create a project (or select an existing one)
- Enable YouTube Data API v3 under APIs & Services → Library
- Go to APIs & Services → Credentials → Create Credentials → API key
- (Recommended) Restrict the key to YouTube Data API v3 and your IP
2. Environment Variable
export YOUTUBE_API_KEY="AIzaSy..."
Or in ~/.cowrangler/credentials.env:
YOUTUBE_API_KEY=AIzaSy...
3. Shell Helper
YOUTUBE_API_KEY="${YOUTUBE_API_KEY:-$(grep '^YOUTUBE_API_KEY=' ~/.cowrangler/credentials.env 2>/dev/null | cut -d= -f2 | tr -d '\n\r')}"
YT_BASE="https://www.googleapis.com/youtube/v3"
yt_get() {
# $1 = endpoint path + params (already URL-encoded)
curl -s "${YT_BASE}/$1&key=${YOUTUBE_API_KEY}"
}
Part 2 — Search
Search Videos
QUERY=$(python3 -c "import urllib.parse; print(urllib.parse.quote('python async tutorial'))")
yt_get "search?part=snippet&type=video&q=${QUERY}&maxResults=10&order=relevance" \
| python3 -c "
import sys, json
data = json.load(sys.stdin)
for item in data.get('items', []):
vid_id = item['id']['videoId']
title = item['snippet']['title']
channel = item['snippet']['channelTitle']
published = item['snippet']['publishedAt'][:10]
print(f'{vid_id} [{published}] {channel:30s} {title[:60]}')
print()
print('nextPageToken:', data.get('nextPageToken', '(none)'))
"
Search Channels
QUERY=$(python3 -c "import urllib.parse; print(urllib.parse.quote('machine learning'))")
yt_get "search?part=snippet&type=channel&q=${QUERY}&maxResults=5" \
| python3 -c "
import sys, json
data = json.load(sys.stdin)
for item in data.get('items', []):
ch_id = item['id']['channelId']
title = item['snippet']['channelTitle']
desc = item['snippet']['description'][:80]
print(f'{ch_id} {title:30s} {desc}')
"
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.
- 12d ago First seen · 347 lines · 18 tokens per session scan A b9d5a58ba97c
youtube-content is a skill published in the GitHub repository furkangonel/cowrangler (2 stars, last pushed yesterday), licensed MIT. It adds 18 tokens to every session and 2,690 once invoked, about $0.0001 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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