youtube-deepdive

youtube-deepdive is a skill for Claude Code from hamzafarooq/claude-code-starter. It costs 61 tokens per session (632 once invoked), scanned A, original, MIT.

A YouTube research tool that examines video pages for chapters, key moments, descriptions, and notable comments.

In plain words
What is it for?
Use it to create a structured highlight report from one or more YouTube videos.
Why use it?
It helps you find useful parts of a video without watching the entire recording.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to create a structured highlight report from one or more YouTube videos.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hamzafarooq/claude-code-starter/youtube-deepdive
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 hamzafarooq/claude-code-starter --skill youtube-deepdive
Clone the repo
git clone --depth 1 https://github.com/hamzafarooq/claude-code-starter

Made for: Claude Code.

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 youtube-deepdive

README.md
[![agentmods](https://agentmods.dev/badge/skills/hamzafarooq/claude-code-starter/youtube-deepdive/github.svg)](https://agentmods.dev/skills/hamzafarooq/claude-code-starter/youtube-deepdive)
Your own site
<a href="https://agentmods.dev/skills/hamzafarooq/claude-code-starter/youtube-deepdive"><img src="https://agentmods.dev/badge/skills/hamzafarooq/claude-code-starter/youtube-deepdive/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 youtube-deepdive

Your own site · 80×15
<a href="https://agentmods.dev/skills/hamzafarooq/claude-code-starter/youtube-deepdive"><img src="https://agentmods.dev/badge/skills/hamzafarooq/claude-code-starter/youtube-deepdive.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 632 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 $0.00061 $0.00632
Opus 5.5 $0.00024 $0.00253
Sonnet 5.5 $0.00012 $0.00126
Haiku 4.5 $0.00006 $0.00063

Measured 1mo ago against content hash 83649d3c7299, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

youtube-deepdive 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 1mo 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.

.claude/skills/youtube-deepdive/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

What this skill does

Given one or more YouTube video URLs, this skill visits each video page and extracts:

  • Chapters and timestamps from the description
  • Key moments (if YouTube shows them)
  • The video description summary
  • Notable comments that highlight key takeaways

It then produces a structured "highlight reel" report so the user can jump straight to the best parts.


How to execute

For each video URL provided:

  1. Navigate to the video URL — mcp__brave-devtools__browser_navigate
  2. Take a snapshot — mcp__brave-devtools__browser_snapshot
  3. Look for:
    • Chapters/timestamps in the description (lines starting with 0:00, 1:23, etc.)
    • Key moments panel YouTube sometimes renders on the page
    • Description text — first 3-5 sentences summarizing the content
    • Top comments — scroll or look for comment section in snapshot; extract 2-3 that mention specific tips or moments
  4. If the description is collapsed, look for an "expand" or "more" button ref and click it — mcp__brave-devtools__browser_click
  5. Repeat for each video
  6. Close the browser when done — mcp__brave-devtools__browser_close

Output format

Produce this write-up directly — no preamble:

YouTube Deep Dive: [Video Title]

Channel: [channel name] | URL: [link] | Duration: [duration if visible]

What it's about

1-2 sentences from the description. Plain English.

Best parts to watch
Timestamp What happens Why it matters
0:00 ... ...
2:15 ... ...

(If no timestamps are available, note that and summarize the key sections based on the description.)

What viewers found valuable

2-3 highlights from top comments (quote briefly, note what they're reacting to).

Should you watch it?

One sentence verdict — who this is for and whether it's worth the full runtime.


(Repeat the above block for each video.)


Rules

  • Use plain English throughout — this is for PMs, not engineers
  • Do not fabricate timestamps or quote comments you didn't read from the page
  • If the video page is unavailable (private, deleted, region-blocked), say so and skip it
  • If no chapters exist, do your best to infer structure from the description text
  • After the write-up, ask: "Want me to save this to docs/youtube-deepdive.md?"

Read the full file on GitHub · 72 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. 1mo ago First seen · 72 lines · 61 tokens per session scan A 83649d3c7299

Subscribe to this mod's changes

youtube-deepdive is a skill published in the GitHub repository hamzafarooq/claude-code-starter (145 stars, last pushed 7d ago), licensed MIT. It adds 61 tokens to every session and 632 once invoked, about $0.0002 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

component-fixtures

Use when creating or updating component fixtures for screenshot testing or their shared infrastructure, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, validation, and common pitfalls.

microsoft/vscode · 53 tokens