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.
npx skills add cth9191/morning-intel --skill yt-searchgit clone --depth 1 https://github.com/cth9191/morning-intelWrote 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/cth9191/morning-intel/yt-search)<a href="https://agentmods.dev/skills/cth9191/morning-intel/yt-search"><img src="https://agentmods.dev/badge/skills/cth9191/morning-intel/yt-search/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/cth9191/morning-intel/yt-search"><img src="https://agentmods.dev/badge/skills/cth9191/morning-intel/yt-search.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 | $0.00093 | $0.00478 |
| Opus 5.5 | $0.00037 | $0.00191 |
| Sonnet 5.5 | $0.00019 | $0.00096 |
| Haiku 4.5 | $0.00009 | $0.00048 |
Grade A, and why
yt-search 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
Search YouTube using yt-dlp and return structured, formatted results with engagement metrics.
How to use
Run the search script:
python "~/.claude/skills/yt-search/scripts/search.py" <query> [--count N] [--months N] [--no-date-filter]
Parameters
<query>— search terms (required)--count N— number of results to return (default: 20)--months N— only show videos from the last N months (default: 6)--no-date-filter— include videos of any age
Examples
# Basic search (top 20, last 6 months)
python "~/.claude/skills/yt-search/scripts/search.py" claude code tutorial
# Fewer results, shorter window
python "~/.claude/skills/yt-search/scripts/search.py" obsidian workflow --count 5 --months 3
# All time, no date filter
python "~/.claude/skills/yt-search/scripts/search.py" AI agents --count 10 --no-date-filter
Output format
Each result includes:
- Title
- Channel name and subscriber count
- View count
- Duration
- Upload date
- Engagement ratio (views / subscribers) — higher means the video outperformed the channel's base
- Direct URL
Results are separated by dividers for easy scanning. Status messages (searching, filtering) go to stderr; the formatted results go to stdout.
Notes
- yt-dlp must be installed (
pip install yt-dlp) - The script fetches 2x the requested count to compensate for date filtering
- Subscriber counts come from yt-dlp metadata and may occasionally be unavailable (shown as N/A)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 55 lines · 93 tokens per session scan A 3553e45832ac
yt-search is a skill published in the GitHub repository cth9191/morning-intel (17 stars, last pushed 2mo ago), licensed MIT. It adds 93 tokens to every session and 478 once invoked, about $0.0004 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.
yt-search compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| yt-searchcth9191/morning-intel | Skill | 17 | 2mo ago | MIT | A | 93 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |