Borrowing it
Nothing to install: this file belongs to velmighty/youtube-to-knowledge. 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/velmighty/youtube-to-knowledge/main/CLAUDE.mdgit clone --depth 1 https://github.com/velmighty/youtube-to-knowledgeWrote 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/velmighty/youtube-to-knowledge/claude-md)<a href="https://agentmods.dev/instructions/velmighty/youtube-to-knowledge/claude-md"><img src="https://agentmods.dev/badge/instructions/velmighty/youtube-to-knowledge/claude-md.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 | $0.00290 | $0.00290 |
| Opus 5 | $0.00145 | $0.00145 |
| Sonnet 5 | $0.00058 | $0.00058 |
| Haiku 4.5 | $0.00029 | $0.00029 |
Grade A, and why
youtube-to-knowledge CLAUDE.md 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.
What it actually says
youtube-to-knowledge
A Claude Code tool that converts YouTube videos into structured knowledge: transcript, summary, and interactive knowledge graph.
Quick start
/process https://www.youtube.com/watch?v=VIDEO_ID
That's it. Claude handles the rest.
What happens
- Transcript is fetched (fast mode via YouTube API, or local Whisper as fallback)
- A structured summary is generated in the video's language
- A knowledge graph is built from entities and relationships
- Everything is saved to
vault/content/<channel_name>/
Commands
/process <url>— main command, processes a video end-to-end/video_specialist— deep-dive questions about a specific video's content/kg_navigator— explore connections between entities across videos
Output structure
vault/content/<channel>/
raw/
transcript_raw.txt
metadata.json
summary.md
triplets.json
graph.json
graph.html ← open in browser
Two transcription modes
| Mode | When | Command |
|---|---|---|
| Fast | Video has subtitles | python src/transcribe.py <url> |
| Whisper | No subtitles / better accuracy | python src/transcribe_whisper.py <url> |
The /process command tries fast mode first and falls back to Whisper automatically.
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 · 47 lines · 290 tokens per session scan A f6d611d12463
youtube-to-knowledge CLAUDE.md is an instructions file published in the GitHub repository velmighty/youtube-to-knowledge (59 stars, last pushed 4mo ago), licensed MIT. It adds 290 tokens to every session, about $0.0014 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 2026-08-30.
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