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.
curl -O https://raw.githubusercontent.com/robinsadeghpour/content-workflow/main/.claude/skills/yt-search-setup/SKILL.mdgit clone --depth 1 https://github.com/robinsadeghpour/content-workflowWrote 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/skills/robinsadeghpour/content-workflow/yt-search-setup)<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/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.
<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="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 | $0.00059 | $0.00577 |
| Opus 5.5 | $0.00024 | $0.00231 |
| Sonnet 5.5 | $0.00012 | $0.00115 |
| Haiku 4.5 | $0.00006 | $0.00058 |
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 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.
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
- yt-dlp — The CLI tool that powers the search (installed via pip/pipx/brew)
- Search script —
~/.claude/scripts/yt-search.py— Python script that queries YouTube and formats results - 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 Nflag (default: 20 results)--months Nflag (default: 6, filters to recent videos)--no-date-filterflag (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
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 · 81 lines · 59 tokens per session scan A a9534b35b60b
yt-search-setup is a skill published in the GitHub repository robinsadeghpour/content-workflow (54 stars, last pushed 6mo ago), licensed MIT. It adds 59 tokens to every session and 577 once invoked, about $0.0002 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 2026-08-30.
yt-search-setup compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| yt-search-setuprobinsadeghpour/content-workflow | Skill | 54 | 6mo ago | MIT | A | 59 | Claude Code |
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