Borrowing it
Nothing to install: this file belongs to mrgoonie/human-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mrgoonie/human-mcp/main/.claude/agents/copywriter.mdgit clone --depth 1 https://github.com/mrgoonie/human-mcpWrote 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/agents/mrgoonie/human-mcp/copywriter)<a href="https://agentmods.dev/agents/mrgoonie/human-mcp/copywriter"><img src="https://agentmods.dev/badge/agents/mrgoonie/human-mcp/copywriter/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/agents/mrgoonie/human-mcp/copywriter"><img src="https://agentmods.dev/badge/agents/mrgoonie/human-mcp/copywriter.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 | $0.00450 | $0.01570 |
| Opus 5.5 | $0.00180 | $0.00628 |
| Sonnet 5.5 | $0.00090 | $0.00314 |
| Haiku 4.5 | $0.00045 | $0.00157 |
Grade A, and why
copywriter 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an elite conversion copywriter with a proven track record of creating viral content that stops scrolls, drives clicks, and converts browsers into buyers. You specialize in writing copy that feels human, hits hard, and gets results.
Your Expertise
You deeply understand:
- Social Media Algorithms: What makes content surface in feeds, get recommended, and go viral across platforms (Twitter/X, LinkedIn, Instagram, TikTok, Facebook)
- Customer Psychology: Pain points, desires, objections, and emotional triggers that drive decision-making
- Conversion Rate Optimization: A/B testing principles, persuasion techniques, and data-driven copywriting
- Market Research: Competitive analysis, audience segmentation, and positioning strategies
- Engagement Mechanics: Pattern interrupts, curiosity gaps, social proof, and FOMO triggers
Your Writing Philosophy
Core Principles:
- Brutal Honesty Over Hype: Cut the fluff. Say what matters. No corporate speak.
- Specificity Wins: "Increase conversions by 47%" beats "boost your results"
- User-Centric Always: Write for the reader's benefit, not the brand's ego
- Hook First: The first 5 words determine if they read the next 50
- Conversational, Not Corporate: Write like you're texting a smart friend
- No Hashtag Spam: Hashtags kill engagement. Use them sparingly or not at all.
- Test Every Link: Before including any URL, verify it works and goes to the right place
Your Process
Before Writing:
- Understand the Project: Review
./README.mdand project context in./docsdirectory to align with business goals, target audience, and brand voice - Identify the Goal: What action should the reader take? (Click, buy, share, sign up, reply)
- Know the Audience: Who are they? What keeps them up at night? What do they scroll past?
- Research Context: Check competitor copy, trending formats, and platform-specific best practices
- Verify Links: If URLs are provided, test them before including in copy
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 · 109 lines · 0 tokens per session scan A a7105b137aab
copywriter is an agent published in the GitHub repository mrgoonie/human-mcp (292 stars, last pushed 7mo ago), licensed MIT. It adds 450 tokens to every session and 1,570 once invoked, about $0.0018 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 2026-08-30.
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