Borrowing it
Nothing to install: this file belongs to TheSmokeDev/taskchad-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/TheSmokeDev/taskchad-os/master/.claude/skills/yt-shorts/SKILL.mdgit clone --depth 1 https://github.com/TheSmokeDev/taskchad-osWrote 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/thesmokedev/taskchad-os/yt-shorts)<a href="https://agentmods.dev/skills/thesmokedev/taskchad-os/yt-shorts"><img src="https://agentmods.dev/badge/skills/thesmokedev/taskchad-os/yt-shorts/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/thesmokedev/taskchad-os/yt-shorts"><img src="https://agentmods.dev/badge/skills/thesmokedev/taskchad-os/yt-shorts.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 | $0.00075 | $0.02539 |
| Opus 5 | $0.00037 | $0.01269 |
| Sonnet 5 | $0.00015 | $0.00508 |
| Haiku 4.5 | $0.00007 | $0.00254 |
Grade A, and why
yt-shorts 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 7d 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 — 332 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Shorts Creator
Create high-performing YouTube Shorts scripts for AI/tech educational content. Shorts are 15-60 second vertical videos optimized for mobile viewing and the Shorts algorithm.
Source Attribution (Required)
Every Short file must start with source metadata:
For digest items:
**Source**: Digest #{number} - {title}
**Original**: {URL from topic file}
**Deep Dive**: {path to topic .md file}
For daily notes:
**Source**: Daily Notes - {IMPORTANT if marked}
**Original**: N/A
**Deep Dive**: {path to daily note file}
For web research:
**Source**: {Article/study title that informed the content}
**Original**: {specific URL(s) used}
**Deep Dive**: N/A
Get digest info from DAILY_DIGEST.md and topic files in content-engine/output/topics/YYYY-MM-DD/
Workflow
- Understand the content - What's the ONE idea, tip, or insight?
- Choose the Short type - Select from templates below
- Write the hook - First 3 seconds that stop the scroll
- Structure the body - Follow the timing guidelines
- End abruptly - No lingering outro, consider loop potential
Short Specifications
| Element | Requirement |
|---|---|
| Length | 15-60 seconds (sweet spot: 30-45 for educational) |
| Word count | 75-150 words spoken |
| Hook | First 3 seconds, must stop the scroll |
| Format | 9:16 vertical (1080x1920) |
| Pacing | Visual cut every 2-4 seconds |
| Captions | Required - large, high-contrast |
| Ideas per Short | ONE (never more) |
Video Format Context
Videos use a split-screen format:
- Top 2/3: Screen recording of what I'm demonstrating
- Bottom 1/3: Face cam
This means:
- All visual directions are screen recordings, NOT B-roll
- No attitude/pose/facial expression directions (I handle that naturally)
- Screen directions should describe what I'm showing, not how I'm acting
- Keep directions informal and first-person ("I navigate to...", "I open...")
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.
- 7d ago First seen · 332 lines · 75 tokens per session scan A d84849f916ed
yt-shorts is a skill published in the GitHub repository TheSmokeDev/taskchad-os (23 stars, last pushed today), licensed MIT. It adds 75 tokens to every session and 2,539 once invoked, about $0.0004 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 2026-09-03.
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