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yt-playbook

yt-playbook is a skill for Claude Code from not0lucky/tubescout. It costs 87 tokens per session (623 once invoked), scanned A, original, MIT.

A method for turning a YouTube tutorial or how-to video into an ordered, usable procedure. It captures the commands, settings, tools, warnings, and other details needed to repeat the work.

In plain words
What is it for?
Use it to extract setup instructions, commands, configuration values, prerequisites, gotchas, and a way to check that the result works.
Why use it?
It removes filler from long videos and makes instructions easier to follow. It also highlights cautions that the creator mentions only briefly and flags steps that may have changed over time.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Codex; mentions OpenCode.

Part of the tubescout plugin — 6 skills, 1 MCP server shipped together

not rated 0repo 16d ago A scan 87 tokens original MIT

Good fit Use it to extract setup instructions, commands, configuration values, prerequisites, gotchas, and a way to check that the result works.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/not0lucky/tubescout/yt-playbook
View source ↗ not0lucky/tubescout
Install

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.

Any agent
npx skills add not0lucky/tubescout --skill yt-playbook
Clone the repo
git clone --depth 1 https://github.com/not0lucky/tubescout

Made for: Claude Code.

Or install tubescout, the plugin that ships this one along with the rest of its 6 skills, 1 MCP server.

Wrote 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.

agentmods badge for yt-playbook

README.md
[![agentmods](https://agentmods.dev/badge/skills/not0lucky/tubescout/yt-playbook/github.svg)](https://agentmods.dev/skills/not0lucky/tubescout/yt-playbook)
Your own site
<a href="https://agentmods.dev/skills/not0lucky/tubescout/yt-playbook"><img src="https://agentmods.dev/badge/skills/not0lucky/tubescout/yt-playbook/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.

agentmods 80×15 button for yt-playbook

Your own site · 80×15
<a href="https://agentmods.dev/skills/not0lucky/tubescout/yt-playbook"><img src="https://agentmods.dev/badge/skills/not0lucky/tubescout/yt-playbook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 623 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00087 $0.00623
Opus 5 $0.00044 $0.00311
Sonnet 5 $0.00017 $0.00125
Haiku 4.5 $0.00009 $0.00062

Measured 12d ago against content hash 7c91fb2d9a72, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

yt-playbook 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.

skills/yt-playbook/SKILL.md · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

yt-playbook

Tutorials bury 10 minutes of instructions in 25 minutes of talk. Extract the instructions, keep the hard-won details, drop the filler.

Process

  1. Fetch. get_video + get_transcript. Note publish date immediately — a 2024 tutorial for a fast-moving tool needs a freshness warning per step that may have changed (UI labels, flags, pricing).
  2. Extract the procedure. Ordered steps as the creator actually performs them, not as they summarize them. For each step capture verbatim: commands, filenames, settings values, versions, URLs, prices, keyboard paths ("Settings → API → …").
  3. Harvest the gold in passing. The most valuable lines in any tutorial are asides: "make sure you…", "this failed for me until…", "don't use X, it breaks Y". Collect these as a Gotchas section — they're why the playbook beats the video.
  4. Adapt to the user. Check the conversation for the user's actual stack, OS, and project. Translate where they differ from the video (their package manager, their cloud, their framework version). Mark every adaptation explicitly as yours, not the creator's.
  5. Deliver. Prerequisites → numbered steps (with exact values) → gotchas → verification ("you know it worked when…") → what the video skipped or hand-waved.

Rules

  • Cite only URLs returned by tubescout tools in this conversation — never write a YouTube URL or video ID from memory.
  • Never invent a command the creator didn't give; if a step is vague in the video, say "creator hand-waves this — likely X" and mark it as inference.
  • Multi-part series: ask before fetching more than 3 videos.
  • If the video is content-free hype with no real procedure, say so in one line and stop — don't fabricate a playbook.

Troubleshooting

  • Tools missing → connect tubescout: claude mcp add --scope user tubescout -- npx -y tubescout, codex mcp add tubescout -- npx -y tubescout, or the OpenCode opencode.json mcp entry.
  • Long video (>60k chars) → page through get_transcript with offsetChars until hasMore is false; don't build the playbook from a partial read.

Read the full file on GitHub · 42 lines

Changes

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.

  1. 12d ago First seen · 42 lines · 87 tokens per session scan A 7c91fb2d9a72

Subscribe to this mod's changes

yt-playbook is a skill published in the GitHub repository not0lucky/tubescout (0 stars, last pushed 16d ago), licensed MIT. It adds 87 tokens to every session and 623 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 2026-08-31.

Learning and teachingclaudecodexmcpmodel-context-protocoltranscript
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