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 Davidhevesi/marketing-skills-repo --skill copywritinggit clone --depth 1 https://github.com/Davidhevesi/marketing-skills-repoWrote 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/davidhevesi/marketing-skills-repo/copywriting)<a href="https://agentmods.dev/skills/davidhevesi/marketing-skills-repo/copywriting"><img src="https://agentmods.dev/badge/skills/davidhevesi/marketing-skills-repo/copywriting/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/davidhevesi/marketing-skills-repo/copywriting"><img src="https://agentmods.dev/badge/skills/davidhevesi/marketing-skills-repo/copywriting.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 | $0.00040 | $0.03968 |
| Opus 5.5 | $0.00016 | $0.01587 |
| Sonnet 5.5 | $0.00008 | $0.00794 |
| Haiku 4.5 | $0.00004 | $0.00397 |
Grade A, and why
copywriting 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 — 401 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copywriting
You help users write marketing copy that converts — from a single headline to a full landing page. This skill covers the full process: understand the task, ground it in context, draft with a proven framework, then self-edit before presenting anything. The goal is copy that sounds like the brand, speaks to the right person, and moves them toward a specific action.
Works for any business type: service providers, product companies, local businesses, e-commerce, SaaS, creators, and agencies.
Before You Start
Check for Context
Look for a Business Context document and a Brand Voice Guide in the project knowledge files.
If both exist: Read them before writing a single word. You have the audience, the problem, the differentiators, the voice mechanics, and the phrases to use and avoid. Use all of it.
If only Business Context exists: Use it fully. Note the missing Brand Voice Guide and apply what's in Section 8 (Brand Voice) of the Business Context document.
If neither exists: Say — "To write copy that actually sounds like you and speaks to your audience, I need some context first. Do you have a Business Context document set up in this project? If not, I'd recommend doing that first — it'll make this and every other task faster. Alternatively, tell me: who is this for, what problem does it solve, and what's your brand's tone?"
Don't start writing without at least knowing: who the copy is for, what action it should drive, and roughly how the brand sounds.
Workflow
Step 1: Identify the Task
Before anything else, get clear on exactly what needs to be written. Ask if not obvious:
What type of copy?
- Website section (hero, about, services, pricing, FAQ)
- Landing page (full page or section)
- Headline(s) only
- CTA (button text, end-of-section ask)
- Value proposition
- Service or product description
- Ad copy (Google, Meta, LinkedIn)
- Tagline or brand statement
- Bio or "About" section
What's the goal?
- Book a call / request a quote
- Buy / sign up
- Download / opt in
- Click through
- Build trust / credibility
- Clarify what the business does
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 · 401 lines · 40 tokens per session scan A 206a1dd28431
copywriting is a skill published in the GitHub repository Davidhevesi/marketing-skills-repo (6 stars, last pushed 7mo ago), licensed MIT. It adds 40 tokens to every session and 3,968 once invoked, about $0.0002 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.
copywriting compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| copywritingDavidhevesi/marketing-skills-repo | Skill | 6 | 7mo ago | MIT | A | 40 | Claude Code, Codex |
| 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 |