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 manojbajaj95/claude-gtm-plugin --skill youtube-researchgit clone --depth 1 https://github.com/manojbajaj95/claude-gtm-pluginWrote 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/manojbajaj95/claude-gtm-plugin/youtube-research)<a href="https://agentmods.dev/skills/manojbajaj95/claude-gtm-plugin/youtube-research"><img src="https://agentmods.dev/badge/skills/manojbajaj95/claude-gtm-plugin/youtube-research/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/manojbajaj95/claude-gtm-plugin/youtube-research"><img src="https://agentmods.dev/badge/skills/manojbajaj95/claude-gtm-plugin/youtube-research.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 | $0.00061 | $0.02146 |
| Opus 5 | $0.00030 | $0.01073 |
| Sonnet 5 | $0.00012 | $0.00429 |
| Haiku 4.5 | $0.00006 | $0.00215 |
Grade A, and why
youtube-research scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
> **Important:** When piping curl output, wrap the command in `bash -c '...'` to preserve env vars: How it starts
The opening of the file, as written. The whole thing — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Research
Workspace Context
Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.
Operating Contract
This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.
Three modes in one skill:
- Topic Research — competitive landscape, content gaps, strategic insights before planning a video
- Video Analysis — forensic deconstruction of transcripts to extract viral formulas and retention mechanics
- API Queries — direct YouTube Data API v3 access for search, stats, comments, and channel info
When to Use
- Researching a video topic before planning production
- Analyzing a competitor video to extract what makes it work
- Fetching channel stats, video metrics, or comments via the API
- Identifying content gaps and opportunities in a niche
YouTube Data API Setup
1. Get an API Key
- Go to Google Cloud Console → APIs & Services → Library
- Enable YouTube Data API v3
- Create Credentials → API Key
export YOUTUBE_API_KEY="your-api-key-here"
Important: When piping curl output, wrap the command in
bash -c '...'to preserve env vars:bash -c 'curl -s "https://..." -H "..." | jq .'
2. Key API Commands
Search Videos:
bash -c 'curl -s "https://www.googleapis.com/youtube/v3/search?part=snippet&q=YOUR_QUERY&type=video&maxResults=10&order=viewCount&key=${YOUTUBE_API_KEY}"' | jq '.items[] | {videoId: .id.videoId, title: .snippet.title, channel: .snippet.channelTitle}'
What ships with it
2 files 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.
- 12d ago First seen · 225 lines · 61 tokens per session scan A 614103fed47a
youtube-research is a skill published in the GitHub repository manojbajaj95/claude-gtm-plugin (100 stars, last pushed 3mo ago), licensed MIT. It adds 61 tokens to every session and 2,146 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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