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 hamzafarooq/claude-code-starter --skill youtube-researchergit clone --depth 1 https://github.com/hamzafarooq/claude-code-starterWrote 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/hamzafarooq/claude-code-starter/youtube-researcher)<a href="https://agentmods.dev/skills/hamzafarooq/claude-code-starter/youtube-researcher"><img src="https://agentmods.dev/badge/skills/hamzafarooq/claude-code-starter/youtube-researcher/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/hamzafarooq/claude-code-starter/youtube-researcher"><img src="https://agentmods.dev/badge/skills/hamzafarooq/claude-code-starter/youtube-researcher.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 | $0.00037 | $0.00487 |
| Opus 5.5 | $0.00015 | $0.00195 |
| Sonnet 5.5 | $0.00007 | $0.00097 |
| Haiku 4.5 | $0.00004 | $0.00049 |
Grade A, and why
youtube-researcher 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 1mo 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
What this skill does
When triggered, ask the user:
- What topic or question they want to research
- How many videos they want (default: 5)
- Any preferences — e.g. recent only, beginner-friendly, a specific channel
Then use Brave MCP to navigate YouTube, search for the topic, and return a structured list of relevant videos.
How to execute
- Navigate to
https://www.youtube.com/results?search_query=TOPIC— replace TOPIC with the user's input (URL-encode spaces as+) - Take a snapshot to read the search results page
- Collect the top results — for each video note: title, channel name, view count, publish date, and URL
- If results look off-topic or thin, refine the search and try once more
- Close the browser when done
Output format
Produce this write-up directly — no preamble:
YouTube Research: [Topic]
Search query used: [exact query]
| # | Title | Channel | Views | Published | Link |
|---|---|---|---|---|---|
| 1 | ... | ... | ... | ... | Watch |
| 2 | ... | ... | ... | ... | Watch |
| ... |
Top pick
[Video title] — One sentence on why this is the best starting point for a PM or non-technical person.
What the results tell you
2-3 sentences on the overall landscape: Is this topic well-covered? Are results mostly technical or beginner-friendly? Any dominant voices or channels worth following?
Suggested follow-up searches
2-3 alternative queries to go deeper on subtopics.
Rules
- Use plain English throughout
- If YouTube blocks the search or results are empty, tell the user and suggest they try the query manually
- Do not fabricate view counts or dates — only report what you read from the page
- After the write-up, ask: "Want me to save this to docs/youtube-research.md?"
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.
- 1mo ago First seen · 61 lines · 37 tokens per session scan A e87b2dbaaa0f
youtube-researcher is a skill published in the GitHub repository hamzafarooq/claude-code-starter (145 stars, last pushed 7d ago), licensed MIT. It adds 37 tokens to every session and 487 once invoked, about $0.0001 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 2026-09-03.
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