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 ZeroPointRepo/youtube-skills --skill captionsgit clone --depth 1 https://github.com/ZeroPointRepo/youtube-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/zeropointrepo/youtube-skills/captions)<a href="https://agentmods.dev/skills/zeropointrepo/youtube-skills/captions"><img src="https://agentmods.dev/badge/skills/zeropointrepo/youtube-skills/captions/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/zeropointrepo/youtube-skills/captions"><img src="https://agentmods.dev/badge/skills/zeropointrepo/youtube-skills/captions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00081 | $0.01012 |
| Opus 5 | $0.00041 | $0.00506 |
| Sonnet 5 | $0.00016 | $0.00202 |
| Haiku 4.5 | $0.00008 | $0.00101 |
Grade A, and why
captions 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 11d 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 "https://transcriptapi.com/api/v2/youtube/transcript\ How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Captions
Extract closed captions from YouTube videos via TranscriptAPI.com.
Setup
If $TRANSCRIPT_API_KEY is not set, read references/auth-setup.md and follow the instructions there to get and store the key.
Required Headers
Every request needs two headers:
- Authorization:
Bearer $TRANSCRIPT_API_KEY - User-Agent: your agent's name and version if known (e.g.
HermesAgent/0.11.0,ClaudeCode/1.0). Version is optional — agent name alone is fine. Do not omit this header or send a bare default — Cloudflare will return a 403 (error code 1010) and block the request.
GET /api/v2/youtube/transcript
curl -s "https://transcriptapi.com/api/v2/youtube/transcript\
?video_url=VIDEO_URL&format=json&include_timestamp=true&send_metadata=true" \
-H "Authorization: Bearer $TRANSCRIPT_API_KEY" \
-H "User-Agent: YourAgent/1.0"
| Param | Required | Default | Values |
|---|---|---|---|
video_url |
yes | — | YouTube URL or video ID |
format |
no | json |
json (structured), text (plain) |
include_timestamp |
no | true |
true, false |
send_metadata |
no | false |
true, false |
Response (format=json — best for accessibility/timing):
{
"video_id": "dQw4w9WgXcQ",
"language": "en",
"transcript": [
{ "text": "We're no strangers to love", "start": 18.0, "duration": 3.5 },
{ "text": "You know the rules and so do I", "start": 21.5, "duration": 2.8 }
],
"metadata": { "title": "...", "author_name": "...", "thumbnail_url": "..." }
}
start: seconds from video startduration: how long caption is displayed
Response (format=text — readable):
{
"video_id": "dQw4w9WgXcQ",
"language": "en",
"transcript": "[00:00:18] We're no strangers to love\n[00:00:21] You know the rules..."
}
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.
- 11d ago First seen · 90 lines · 81 tokens per session scan A 498cb6f97b85
captions is a skill published in the GitHub repository ZeroPointRepo/youtube-skills (843 stars, last pushed 2d ago), licensed MIT. It adds 81 tokens to every session and 1,012 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
youtube
YouTube transcripts, video and channel search, channel browsing and playlist extraction via the bundled TranscriptAPI MCP server. Use when YouTube is or could be relevant — pasted video, channel or playlist links, video IDs, @handles, requests to summarize, quote, transcribe, translate or fact-check a video, research…
watch2
Use when analyzing a video URL or local video with transcript and selected frames.
visual-design-system-extractor
Use when reference images, screenshots, moodboards, style frames, brand boards, cinematic stills, product interface shots, or a live site URL must become a production design system, design tokens, art direction, motion rules, or a YAML style specification. Covers reverse engineering visual references into a…
ppt-structure-planner
A presentation planning guide that turns a topic into a clear story, slide order, and purpose for each slide.
solution-validator-ppt
An acceptance reviewer for an overall PowerPoint solution. It combines earlier presentation outputs and classifies the result as pass, pass with fixes, or fail.
draw
Draw - command-line tool for everyday use.