youtube-knowledge-ingestion

youtube-knowledge-ingestion is a skill for Claude Code, Codex from xrcodexcode/xr_node. It costs 51 tokens per session (3,420 once invoked), scanned A, original, no licence file.

A tool that turns a YouTube transcript into linked notes for the Infinity Brain knowledge system. It also organises the material into a cheatsheet and a structured map of content, known as an MOC.

In plain words
What is it for?
Use it to extract small factual notes, merge them into a knowledge vault, create summaries and topic maps, and review retrieval quality.
Why use it?
It makes information from a video easier to connect with existing notes, find later, and check for duplicates or missing pieces.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/xrcodexcode/xr_node/youtube-knowledge-ingestion
Any agent
npx skills add xrcodexcode/xr_node --skill youtube-knowledge-ingestion
Clone the repo
git clone --depth 1 https://github.com/xrcodexcode/xr_node

Made for: Claude Code, Codex.

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-knowledge-ingestion

README.md
[![agentmods](https://agentmods.dev/badge/skills/xrcodexcode/xr_node/youtube-knowledge-ingestion.svg)](https://agentmods.dev/skills/xrcodexcode/xr_node/youtube-knowledge-ingestion)
Your own site
<a href="https://agentmods.dev/skills/xrcodexcode/xr_node/youtube-knowledge-ingestion"><img src="https://agentmods.dev/badge/skills/xrcodexcode/xr_node/youtube-knowledge-ingestion.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,420 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00051 $0.03420
Opus 5 $0.00026 $0.01710
Sonnet 5 $0.00010 $0.00684
Haiku 4.5 $0.00005 $0.00342

Measured 3d ago against content hash ee914cb3fe74, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

youtube-knowledge-ingestion 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.

.antigravity_backup/skills/youtube-knowledge-ingestion/SKILL.md · 713 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 3d ago First seen · 713 lines · 51 tokens per session scan A ee914cb3fe74

Subscribe to this mod's changes

youtube-knowledge-ingestion is a skill published in the GitHub repository xrcodexcode/xr_node (2 stars, last pushed 3d ago), with no licence file. It adds 51 tokens to every session and 3,420 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 2026-08-31.

Related

Other skills, from other repositories

retrieval-practice-generator

Generate low-stakes retrieval-practice questions with grounded answer notes and implementation guidance. Use for quiz starters, revision activities, delayed recall, misconception checks, or adapting recall difficulty.

iflytek/skillhub · 41 tokens

generating-mod-envs

Generates and reviews mod learning env JSON files for Letta Code local mods. Use when asked to teach, learn, or optimize a mod behavior; create, draft, validate, improve, or explain envs for /mods learn --env; or design evaluation scenarios, memory fixtures, requiredResultMarkers, requiredTraceMarkers, negative…

letta-ai/letta-code · 79 tokens

aws-secrets-manager

Secret safety for AWS Secrets Manager, secret management, credentials, API keys, tokens, and passwords. Prevents AI agents from directly fetching secret values and teaches runtime dynamic references with asm-exec so plaintext never enters the LLM context window.

aws/agent-toolkit-for-aws · 53 tokens

ai-memory-learning-maintenance

Use this skill for any ai-memory knowledge-base maintenance request: consolidating observations, reviewing session lessons, proposing durable learnings, auditing or linting the wiki, finding contradictions, pruning stale memory, or running auto-improvement. Trigger by semantic intent rather than exact wording.

akitaonrails/ai-memory · 60 tokens

self-improve-with-tinyfish

Enables Hermes to create new reusable skills for itself by researching live web sources with TinyFish Search and Fetch, analyzing source coverage, writing SKILL.md files, and installing them into Hermes memory. Use when the user asks Hermes to learn, teach itself, upgrade itself, or save a reusable capability.

tinyfish-io/tinyfish-cookbook · 68 tokens

cao-learning

Report task outcomes and distill lessons so the team improves across runs — reportoutcome after each unit of work, retrospector handoffs at natural boundaries, and applying injected lessons. Use in workflows that run repeatedly over similar work items. Requires memory.learningenabled; degrade silently when the tools…

awslabs/cli-agent-orchestrator · 63 tokens