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 headline-formulasgit 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/headline-formulas)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/headline-formulas"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/headline-formulas/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/headline-formulas"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/headline-formulas.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 | $0.00027 | $0.02659 |
| Opus 5.5 | $0.00011 | $0.01064 |
| Sonnet 5.5 | $0.00005 | $0.00532 |
| Haiku 4.5 | $0.00003 | $0.00266 |
Grade A, and why
headline-formulas 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 — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Headline Formulas
When to Activate
Use this skill when writing or optimizing headlines for any marketing asset: blog posts, landing pages, email subject lines, ad copy, social media posts, webinar titles, or video titles. The headline is the single most important line of copy — 80% of people read the headline, only 20% read the rest.
First Questions
- What is the platform? (dictates character limits and tone)
- Who is the target reader? (their awareness level and language)
- What is the primary benefit or transformation?
- What emotion should the headline trigger? (curiosity, fear, desire, urgency)
- Is this for testing? (if so, generate 10+ variations across different formula types)
Platform-Specific Headline Lengths
| Platform | Ideal Length | Max Length | Notes |
|---|---|---|---|
| Google Search Ad Headline | 25-30 chars | 30 chars | Up to 15 headlines per RSA |
| Google Search Ad Description | 80-90 chars | 90 chars | Up to 4 descriptions |
| Meta Ad Primary Text | First 125 chars visible | 125 before "See more" | Hook must be in first line |
| Meta Ad Headline | 25-40 chars | 40 chars | Below the image |
| LinkedIn Ad Headline | 50-70 chars | 70 chars | Professional tone |
| Email Subject Line | 30-50 chars | 60 chars (mobile cutoff) | Preview text extends the hook |
| Blog Post Title | 50-60 chars | 60 chars (SEO title tag) | Include primary keyword |
| YouTube Video Title | 50-60 chars | 100 chars | Front-load the hook |
| TikTok Text Overlay | 5-10 words | Keep very short | Must be readable in 1 second |
The 25 Proven Headline Formulas
Formula 1: How to [Achieve Desired Result]
The workhorse. Always works because it promises useful information.
- How to Write Emails That Actually Get Replies
- How to Double Your Pipeline Without Hiring Another SDR
- How to Build a Landing Page That Converts at 12%
Formula 2: How to [Achieve Result] Without [Pain Point]
Adds a pain-removal layer that increases click-through.
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 · 260 lines · 27 tokens per session scan A 373f197c7620
headline-formulas is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 27 tokens to every session and 2,659 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.
headline-formulas compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| headline-formulasbrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 27 | 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 |