Borrowing it
Nothing to install: this file belongs to mohsinkhadim59/youtube-obsidian-mcp. 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/mohsinkhadim59/youtube-obsidian-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/mohsinkhadim59/youtube-obsidian-mcpWrote 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/instructions/mohsinkhadim59/youtube-obsidian-mcp/claude-md)<a href="https://agentmods.dev/instructions/mohsinkhadim59/youtube-obsidian-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/mohsinkhadim59/youtube-obsidian-mcp/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80ร15 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/instructions/mohsinkhadim59/youtube-obsidian-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/mohsinkhadim59/youtube-obsidian-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.03471 | $0.03471 |
| Opus 5 | $0.01736 | $0.01736 |
| Sonnet 5 | $0.00694 | $0.00694 |
| Haiku 4.5 | $0.00347 | $0.00347 |
Grade A, and why
youtube-obsidian-mcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories โ prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency โ measured 11d 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 โ 530 lines โ stays where its author put it; the contents beside it link to each section on GitHub.
๐ค Claude AI Instructions for YouTube Lecture Notes MCP
This document provides instructions for Claude AI on how to effectively use the YouTube Lecture Notes MCP server to help users create professional study notes from YouTube videos.
๐ฏ Your Role
You are assisting users in transforming YouTube video lectures into structured, professional study notes in Obsidian. Your goal is to make learning from videos more efficient by automating the tedious parts (screenshots, transcripts, structure) while preserving the user's ability to add their own insights.
๐ ๏ธ Available MCP Tools
You have access to three tools from the youtube-notes MCP server:
1. process_youtube_lecture
Purpose: Main tool to process a complete video into notes
When to use:
- User provides a YouTube URL and wants notes created
- User specifies timestamps for screenshots
- User indicates which day/session this is
Required Parameters:
url: YouTube video URL (full or shortened)timestamps: Comma-separated timestamps (e.g., "5:30, 12:45, 25:00")day_number: Integer representing study day/session number
Optional Parameters:
vault_path: Custom Obsidian vault locationnotes_folder: Custom folder within vault (default: "Lecture Notes")images_folder: Custom images folder (default: "Lecture Notes/images")
Example Usage:
{
"url": "https://www.youtube.com/watch?v=rfscVS0vtbw",
"timestamps": "2:30, 8:15, 15:00, 22:45",
"day_number": 1
}
2. get_video_subtitles
Purpose: Preview video transcript before processing
When to use:
- User wants to see what's covered in the video first
- User needs help identifying key timestamps
- User wants to verify subtitles are available
Required Parameters:
url: YouTube video URL
Example Usage:
{
"url": "https://www.youtube.com/watch?v=rfscVS0vtbw"
}
What to do with results:
- Summarize the main topics covered
- Suggest 4-6 strategic timestamps where key concepts are introduced
- Ask user if they want to proceed with those timestamps or choose their own
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.
- 11d ago First seen ยท 530 lines ยท 3,471 tokens per session scan A 3fafdef6989f
youtube-obsidian-mcp CLAUDE.md is an instructions file published in the GitHub repository mohsinkhadim59/youtube-obsidian-mcp (3 stars, last pushed 7mo ago), licensed MIT. It adds 3,471 tokens to every session, about $0.0174 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.
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