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 brainbytes-dev/everything-claude-marketing --skill social-youtubegit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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/brainbytes-dev/everything-claude-marketing/social-youtube)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/social-youtube"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/social-youtube/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/brainbytes-dev/everything-claude-marketing/social-youtube"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/social-youtube.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 | $0.00031 | $0.02860 |
| Opus 5.5 | $0.00012 | $0.01144 |
| Sonnet 5.5 | $0.00006 | $0.00572 |
| Haiku 4.5 | $0.00003 | $0.00286 |
Grade A, and why
social-youtube 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.
How it starts
The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Content Strategy
When to Activate
Use this skill when:
- Planning or scripting YouTube videos (long-form or Shorts)
- Designing thumbnails and writing titles
- Developing a YouTube channel strategy
- Optimizing existing videos for better performance
- Building a content calendar for YouTube
- Analyzing YouTube analytics for growth
First Questions
Before creating YouTube content, clarify:
- What is the channel's niche and positioning?
- Who is the ideal viewer? (Demographics, what they search for, what channels they watch)
- What is the primary goal? (Ad revenue, lead gen, brand awareness, product sales, community)
- What content format is planned? (Talking head, tutorial, documentary, vlog, list, interview)
- What is the current subscriber count and average view count?
- What is the production capacity? (Frequency, editing skill, equipment)
- Are Shorts part of the strategy?
Core Rules
- CTR x Watch Time = Growth. YouTube's algorithm is driven by two things: how many people click (CTR) and how long they watch (average view duration / AVD). You must optimize both.
- The thumbnail and title are 80% of the battle. A brilliant video with a bad thumbnail gets zero views.
- Audience retention is everything. Every second of your video must earn the next second.
- YouTube is a search engine AND a recommendation engine. Optimize for both.
- Consistency in upload schedule builds subscriber habit. Pick a cadence and stick to it.
- Packaging (title + thumbnail) can be changed. The video cannot. Test packaging on underperforming videos.
- Niche down before expanding. YouTube rewards channels that train the algorithm on a specific audience.
The YouTube Algorithm
How Videos Get Distributed
Phase 1: Subscriber notification + Home feed
- Your video is shown to a subset of subscribers and recent viewers
- YouTube measures: CTR, early watch time, session impact
Phase 2: Browse features + Suggested videos
- If Phase 1 metrics are strong, the video appears alongside related content
- Key metric: "Suggested video" traffic — this is where scale happens
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 · 272 lines · 31 tokens per session scan A 2d534183e171
social-youtube is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 31 tokens to every session and 2,860 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.
social-youtube compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| social-youtubebrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 31 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |