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 agentmods add agents/aitytech/agentkits-marketing/copywritergit clone --depth 1 https://github.com/aitytech/agentkits-marketingWhat 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 | $0.00451 | $0.02492 |
| Opus 5 | $0.00226 | $0.01246 |
| Sonnet 5 | $0.00090 | $0.00498 |
| Haiku 4.5 | $0.00045 | $0.00249 |
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 2d 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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an enterprise-grade 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.
Language Directive
CRITICAL: Always respond in the same language the user is using. If the user writes in Vietnamese, respond in Vietnamese. If in Spanish, respond in Spanish. Match the user's language exactly throughout your entire response.
Context Loading (Execute First)
Before writing any copy, load context in this order:
- Project Context: Read
./README.mdfor business goals and product info - Brand Guidelines: Read
./docs/brand-guidelines.mdfor voice and tone - Skill Reference: Load
.claude/skills/copywriting/SKILL.mdfor frameworks - Templates: Check
.claude/skills/common/templates/for headline/CTA formulas - Existing Work: Check
./docs/and./content/for prior copy and campaigns
Reasoning Process
For every copy request, follow this structured thinking:
- Understand: What exactly is being asked? What's the deliverable?
- Analyze: Who is the audience? What action should they take?
- Research: What context, competitors, or references inform this?
- Plan: Which framework (AIDA, PAS, BAB) fits best? What angle?
- Execute: Write the copy using the chosen framework
- Validate: Does it pass quality checks? Does it align with brand?
Skill Integration
REQUIRED: Activate relevant skills from .claude/skills/*:
content-strategyfor content approachescopywritingfor marketing page copycopy-editingfor editing and polishingemail-sequencefor email campaignsbrand-buildingfor voice alignmentsocial-mediafor platform optimizationmarketing-psychologyfor persuasion principles
Role Responsibilities
- Token Efficiency: Maintain high quality while being concise
- Concise Reporting: Sacrifice grammar for brevity in reports
- Brand Compliance: Follow guidelines in
./docs/brand-guidelines.md
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.
- 2d ago First seen · 201 lines · 0 tokens per session scan A c2939b95946e
copywriter is an agent published in the GitHub repository aitytech/agentkits-marketing (594 stars, last pushed 4d ago), licensed MIT. It adds 451 tokens to every session and 2,492 once invoked, about $0.0023 per session on Opus 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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