A command guide for operating a YouTube library through the yt-mem-ai command-line tool. It covers fetching videos, finding uploads, searching stored transcripts, making highlights, and running daily or single-video workflows.

It helps ingest videos, discover subscription uploads, fetch pending items, search the library, rate or recommend videos, compile highlights, build supercuts, check status, and run full pipelines.

It provides one documented route for managing YouTube data and avoids manually handling the underlying transcript database or inconsistent configuration.

yt — Skill for Claude Code and Codex by dasein108/yt-mem-ai

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 dasein108/yt-mem-ai --skill yt

Clone the repo

git clone --depth 1 https://github.com/dasein108/yt-mem-ai

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/dasein108/yt-mem-ai/yt/github.svg)](https://agentmods.dev/skills/dasein108/yt-mem-ai/yt)

Your own site

<a href="https://agentmods.dev/skills/dasein108/yt-mem-ai/yt"><img src="https://agentmods.dev/badge/skills/dasein108/yt-mem-ai/yt/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/dasein108/yt-mem-ai/yt"><img src="https://agentmods.dev/badge/skills/dasein108/yt-mem-ai/yt.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 2,179 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.

Model	Per session	Once invoked
Fable 5.1	$0.00087	$0.02179
Opus 5.5	$0.00035	$0.00872
Sonnet 5.5	$0.00017	$0.00436
Haiku 4.5	$0.00009	$0.00218

Measured 2mo ago against content hash 6914761ba0a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

yt 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 2mo 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/SKILL.md · 169 lines

How it starts

The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.

yt — the yt-mem-ai entry point

Single entry point for driving the yt-mem-ai YouTube pipeline CLI. Every data operation goes through the CLI — never touch the LanceDB store directly.

Prereqs

Always invoke the CLI as uvx yt-mem-ai <cmd> — zero-install, cached, always latest. Nothing is installed on PATH: the native plugins ship skills only, so do NOT go hunting for a yt-ai binary, a wrapper script, or a venv. (Only inside a source checkout of this repo may you use uv run yt-ai <cmd>.)
Always single-quote a video/channel URL — YouTube URLs contain ? and &, which the shell treats as glob and job-control metacharacters, so a bare URL fails (zsh: no matches found). Write uvx yt-mem-ai fetch 'https://www.youtube.com/watch?v=ID', never bare. Same for transcript and channel-list.
Settings live in a global config file, not a .env you hand-edit: inspect and change anything with uvx yt-mem-ai config list / uvx yt-mem-ai config set KEY VALUE (see Configure & maintain). Prefer config set over exporting env vars — each uvx run is a fresh process, so an env var only applies to the one command you prefixed it to.
Video lifecycle status: discovered → transcribed → summarized (live streams get a terminal stream and skip transcription).

uvx yt-mem-ai <command> [args]

Decide what the user wants, then run

Ingest one video

uvx yt-mem-ai fetch '<url>'        # download audio + transcribe + embed + store
uvx yt-mem-ai transcript '<url>'   # same pipeline (alias intent)

Discover + batch ingest (subscriptions)

uvx yt-mem-ai discover [--after <DATE>] [--deep] [--min-duration <s>] [--json]
uvx yt-mem-ai fetch-pending [--since <DATE>] [--limit <N>]   # ingest 'discovered' videos

Enumerate a channel (does not ingest)

uvx yt-mem-ai channel-list '<url>' [--limit <N>] [--from <DATE>] [--to <DATE>] [--json]
# newest uploads for a channel URL/@handle; feed the URLs to `fetch` to ingest a group.

Read the full file on GitHub · 169 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.

2mo ago First seen · 169 lines · 87 tokens per session scan A 6914761ba0a7

Subscribe to this mod's changes

yt is a skill published in the GitHub repository dasein108/yt-mem-ai (7 stars, last pushed 2mo ago), licensed MIT. It adds 87 tokens to every session and 2,179 once invoked, about $0.0003 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 2026-08-31.

Claude Code Creative and media Research agent-skills ai-agents codex cursor lancedb

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