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 kennyzir/7deer_skills --skill youtube-content-gengit clone --depth 1 https://github.com/kennyzir/7deer_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/kennyzir/7deer_skills/youtube-content-gen)<a href="https://agentmods.dev/skills/kennyzir/7deer_skills/youtube-content-gen"><img src="https://agentmods.dev/badge/skills/kennyzir/7deer_skills/youtube-content-gen/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/kennyzir/7deer_skills/youtube-content-gen"><img src="https://agentmods.dev/badge/skills/kennyzir/7deer_skills/youtube-content-gen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00025 | $0.00463 |
| Opus 5 | $0.00013 | $0.00231 |
| Sonnet 5 | $0.00005 | $0.00093 |
| Haiku 4.5 | $0.00003 | $0.00046 |
Grade A, and why
youtube-content-gen 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 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.
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.
What it actually says
YouTube Content Generator
A "video-to-page" pipeline that automates the creation of high-quality guide pages from YouTube videos. It extracts transcripts, analyzes content with Gemini AI, and generates Next.js pages with SEO best practices.
Resources Included
Scripts (resources/scripts/)
video_processor.py: The main entry point. Orchestrates the flow.transcript_extractor.py: Wrapsyoutube-transcript-apito get subtitles.content_analyzer.py: Uses Gemini API to understand video content and structure the page.page_generator.py: Renders Jinja2 templates into.tsxand.module.cssfiles.image_handler.py: Downloads and optimizes video thumbnails.
Templates (resources/templates/)
page.tsx.j2: Next.js page template with built-in Schema.org, responsive video embed, and SEO metadata.page.module.css.j2: Matching CSS module for the generated page.
Usage
1. Installation
Install the required Python dependencies:
pip install -r resources/requirements.txt
Set your Gemini API key:
$env:GEMINI_API_KEY = "your_api_key_here"
2. Generate a Page
From a YouTube URL:
python resources/scripts/video_processor.py --url "https://www.youtube.com/watch?v=VIDEO_ID"
From a Keyword (Auto-Search):
python resources/scripts/video_processor.py --keyword "game topic to search"
The script will:
- Analyze the video.
- Generate a new page in
app/guides/[topic-slug]/. - Download images to
public/images/guides/[topic-slug]/. - Print a report.
3. Verify
Run the build to ensure everything is correct:
npm run build
What ships with it
9 files 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.
- resources/requirements.txt 158 B
- resources/scripts/content_analyzer.py 2.2 KB runs code
- resources/scripts/image_handler.py 1.4 KB runs code
- resources/scripts/keyword_searcher.py 1.8 KB runs code
- resources/scripts/page_generator.py 1.1 KB runs code
- resources/scripts/transcript_extractor.py 1.2 KB runs code
- resources/scripts/video_processor.py 4.4 KB runs code
- resources/templates/page.module.css.j2 1.2 KB
- resources/templates/page.tsx.j2 5.5 KB
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 · 66 lines · 25 tokens per session scan A aaab20fbe759
youtube-content-gen is a skill published in the GitHub repository kennyzir/7deer_skills (313 stars, last pushed 4d ago), licensed MIT. It adds 25 tokens to every session and 463 once invoked, about $0.0001 per session on Opus 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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