content-workflow: Skill for Claude Code

.claude/skills/yt-search-setup/SKILL.md

yt-search-setup is a skill for Claude Code from robinsadeghpour/content-workflow. It costs 59 tokens per session (577 once invoked), scanned A, original, MIT.

A setup tool for adding a YouTube search command to Claude Code, a command-line coding assistant.

In plain words
What is it for?
It helps install yt-dlp, create the search script, and add a /yt-search command that lists recent videos with details such as titles, channels, views, duration, dates, and URLs.
Why use it?
It removes the need to install the search utility, write the search script, and register the command by hand.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: reads .claude/ paths; mentions Claude Code.

This is robinsadeghpour/content-workflow's own configuration. It tells Claude Code how to work on content-workflow itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything content-workflow configures →

Reuse

Borrowing it

Nothing to install: this file belongs to robinsadeghpour/content-workflow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/robinsadeghpour/content-workflow/main/.claude/skills/yt-search-setup/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/robinsadeghpour/content-workflow

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 yt-search-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/robinsadeghpour/content-workflow/yt-search-setup.svg)](https://agentmods.dev/skills/robinsadeghpour/content-workflow/yt-search-setup)
Your own site
<a href="https://agentmods.dev/skills/robinsadeghpour/content-workflow/yt-search-setup"><img src="https://agentmods.dev/badge/skills/robinsadeghpour/content-workflow/yt-search-setup.svg" alt="Measured on agentmods" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 577 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 $0.00059 $0.00577
Opus 5 $0.00030 $0.00289
Sonnet 5 $0.00012 $0.00115
Haiku 4.5 $0.00006 $0.00058

Measured 8d ago against content hash a9534b35b60b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

yt-search-setup 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 8d 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/yt-search-setup/SKILL.md · 81 lines

What it actually says

YouTube Search Skill Setup

This skill installs the /yt-search slash command for Claude Code, enabling YouTube search directly from the CLI.

What it sets up

  1. yt-dlp — The CLI tool that powers the search (installed via pip/pipx/brew)
  2. Search script~/.claude/scripts/yt-search.py — Python script that queries YouTube and formats results
  3. Slash command~/.claude/commands/yt-search.md — Claude Code command that invokes the script

Setup steps

1. Check and install yt-dlp

which yt-dlp || pip install yt-dlp

If pip fails due to externally-managed-environment, try pipx install yt-dlp or brew install yt-dlp.

2. Create the scripts directory

mkdir -p ~/.claude/scripts

3. Create the search script

Write ~/.claude/scripts/yt-search.py with:

  • YouTube search via yt-dlp --dump-json --flat-playlist
  • --count N flag (default: 20 results)
  • --months N flag (default: 6, filters to recent videos)
  • --no-date-filter flag (show all results regardless of date)
  • Formatted output: title, channel (with subscriber count), views, duration, date, URL

4. Create the slash command

Write ~/.claude/commands/yt-search.md with frontmatter:

---
description: "Search YouTube and return structured video results"
argument-hint: "<query> [--count N]"
allowed-tools:
  - Bash
---

The command runs python3 ~/.claude/scripts/yt-search.py $ARGUMENTS.

5. Verify

python3 ~/.claude/scripts/yt-search.py "test query" --count 3

After setup

The user can search YouTube with:

/yt-search claude code skills
/yt-search AI agents --count 10
/yt-search react tutorials --months 3
/yt-search machine learning --no-date-filter

What it returns

For each video:

  • Title
  • Channel name and subscriber count
  • View count
  • Duration
  • Upload date
  • Direct YouTube link
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. 8d ago First seen · 81 lines · 59 tokens per session scan A a9534b35b60b

Subscribe to this mod's changes

yt-search-setup is a skill published in the GitHub repository robinsadeghpour/content-workflow (55 stars, last pushed 4mo ago), licensed MIT. It adds 59 tokens to every session and 577 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 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

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

obra/superpowers · 21 tokens

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

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 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

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens