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-script/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-script)<a href="https://agentmods.dev/skills/thesmokedev/taskchad-os/yt-script"><img src="https://agentmods.dev/badge/skills/thesmokedev/taskchad-os/yt-script.svg" alt="Measured on agentmods" 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 | $0.00070 | $0.01090 |
| Opus 5 | $0.00035 | $0.00545 |
| Sonnet 5 | $0.00014 | $0.00218 |
| Haiku 4.5 | $0.00007 | $0.00109 |
Grade A, and why
yt-script 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 3d 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Script Creator
Create YouTube video scripts based on conversation input, using an established template and style guidelines.
Workflow
-
Create the script file
- Create new file in your notes directory named after the video topic
- Copy template from your YouTube Script Template (if you have one)
-
Do web research
- Search for relevant documentation, articles, repos related to the topic
- Gather 1-10 links to include in Research section
-
Fill each section systematically (in this order):
- Tags
- Source
- Research
- Audience Reactions
- Title
- Thumbnail Text
- Thumbnail Ideas
- Description
- Links
- Outline
- Intro
Section Requirements
Tags
Always: #youtube-script
Source (Required)
Reference the original content this script is based on:
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/
Research
- Web research for relevant links
- Format:
- Description: URL(description on same line, URL on next) - 1-10 bullet points, keep concise
- Include docs, articles, repos, relevant resources
- Verify tools/products are current - AI/tech moves fast; search "[tool] 2026 status" before citing specific frameworks or products
Audience Reactions
- 3-5 reactions written as YouTube comments
- Capture what viewers should resonate with
- Express gratitude, excitement, value received
- Examples:
- "Man I can really tell this is the future of AI agents, thanks for leading the charge!"
- "This makes so much sense, love the examples too."
- "Best breakdown I've ever seen on YouTube."
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.
- 3d ago First seen · 148 lines · 70 tokens per session scan A b8ff985daadf
yt-script is a skill published in the GitHub repository TheSmokeDev/taskchad-os (23 stars, last pushed 14d ago), licensed MIT. It adds 70 tokens to every session and 1,090 once invoked, about $0.0003 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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