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 skills/nicepkg/ai-workflow/marketingnpx skills add nicepkg/ai-workflow --skill marketinggit clone --depth 1 https://github.com/nicepkg/ai-workflowWrote 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/nicepkg/ai-workflow/marketing)<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/marketing"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/marketing.svg" alt="Measured on agentmods" 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 | $0.00055 | $0.01944 |
| Opus 5 | $0.00028 | $0.00972 |
| Sonnet 5 | $0.00011 | $0.00389 |
| Haiku 4.5 | $0.00006 | $0.00194 |
Grade A, and why
marketing 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 today.
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 — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Skill for Theme & Plugin Agency
Writing Style Guidelines
Tone & Voice (Non-Negotiable)
Be Human, Not AI:
- Write like a helpful colleague, not a marketing robot
- Use natural language that sounds like a real person wrote it
- Avoid buzzwords: "revolutionary", "game-changing", "seamless", "leverage", "synergy"
- Skip filler words: "basically", "essentially", "simply", "just"
- No excessive punctuation (!!!) or ALL CAPS for emphasis
Emoji Policy:
- Maximum ONE emoji per piece of content (or none)
- Use only when it adds clarity, not decoration
- Prefer text over emoji for important information
What to Avoid:
❌ "🚀 This REVOLUTIONARY plugin will TRANSFORM your workflow!! 💥"
✅ "This plugin handles form submissions automatically, so you can focus on your actual work."
❌ "Simply leverage our seamless integration to unlock game-changing results!"
✅ "Connect it to your email list in two clicks. New subscribers sync automatically."
Folder Structure
When creating marketing content for a product, create this folder structure:
marketing/
├── 01-slides/ # Visual presentation content
│ ├── product-overview-slides.md
│ ├── feature-breakdown-slides.md
│ ├── use-case-slides.md
│ └── free-vs-pro-comparison.md
├── 02-video-scripts/ # Video content
│ ├── 01-product-overview.md # 2-3 min explainer
│ ├── 02-installation-setup.md # Tutorial
│ ├── 03-feature-demos.md # Feature walkthroughs
│ ├── short-ads.md # 15s, 30s, 60s scripts
│ └── shot-list-template.md # Production notes
├── 03-website-copy/ # Website content
│ ├── landing-page.md # Full landing page
│ ├── features.md # Feature highlights
│ ├── product-description.md # Marketplace descriptions
│ ├── faq-content.md # FAQ section
│ └── feature-pages/ # Individual feature pages
│ └── [feature-name].md
├── 04-email-sequences/ # Email campaigns
│ ├── welcome-sequence.md # Onboarding emails
│ ├── feature-announcement.md # New feature emails
│ ├── free-to-pro-upgrade.md # Upgrade campaigns
│ └── re-engagement.md # Win-back emails
├── 05-social-media/ # Social content (separate files per platform)
│ ├── twitter-posts.md # Twitter/X content
│ ├── linkedin-posts.md # LinkedIn content
│ ├── facebook-posts.md # Facebook content
│ └── instagram-captions.md # Instagram content
├── 06-sales-materials/ # Sales enablement
│ ├── one-pager.md # Quick sales sheet
│ ├── objection-handling.md # Sales FAQ responses
│ ├── feature-comparison-chart.md # Competitive comparison
│ ├── roi-calculator-content.md # Value justification
│ └── testimonials.md # Customer quotes
├── 07-brand-assets/ # Brand guidelines
│ ├── persona-profiles.md # Target customer profiles
│ ├── messaging-guide.md # Voice and messaging
│ └── seo-keywords.md # Keywords and meta content
└── README.md # Index and quick reference
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.
- today First seen · 258 lines · 55 tokens per session scan A 0dba803e5a57
marketing is a skill published in the GitHub repository nicepkg/ai-workflow (283 stars, last pushed 7mo ago), licensed MIT. It adds 55 tokens to every session and 1,944 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
aatmf-t10-confidentiality-breach
AATMF T10 — Integrity & Confidentiality Breach. System prompt extraction, training-data extraction, model-weight leakage, private-key recovery.
mochi-remind
Handle due reminders — notify the user with natural language and mark them done.
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
lazarus-group
Adversary-emulation profile for Lazarus Group (G0032, aka Hidden Cobra / Diamond Sleet / Labyrinth Chollima), a North Korean RGB-linked actor conducting espionage, destructive, and financially motivated operations.
sidewinder-rattlesnake
Adversary-emulation profile for SideWinder (G0121 / Rattlesnake / T-APT-04 / Razor Tiger), India's suspected state-sponsored cyber-espionage actor.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…