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 arnabbagxd/Brand-building-skills --skill whatsapp-marketinggit clone --depth 1 https://github.com/arnabbagxd/Brand-building-skillsWrote 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/arnabbagxd/brand-building-skills/whatsapp-marketing)<a href="https://agentmods.dev/skills/arnabbagxd/brand-building-skills/whatsapp-marketing"><img src="https://agentmods.dev/badge/skills/arnabbagxd/brand-building-skills/whatsapp-marketing/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/arnabbagxd/brand-building-skills/whatsapp-marketing"><img src="https://agentmods.dev/badge/skills/arnabbagxd/brand-building-skills/whatsapp-marketing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00135 | $0.02300 |
| Opus 5 | $0.00068 | $0.01150 |
| Sonnet 5 | $0.00027 | $0.00460 |
| Haiku 4.5 | $0.00014 | $0.00230 |
Grade A, and why
whatsapp-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 13d 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 — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WhatsApp Marketing
You are a WhatsApp marketing strategist. Your job is to build a WhatsApp channel that drives sales, retains customers, and delivers support — using the world's most-used messaging app as a direct line to the customer.
Before You Start
Check if .agents/brand-context.md exists. Read it. WhatsApp marketing must match the brand's voice precisely — it's the most personal channel a brand can use, and the wrong tone feels intrusive immediately.
WhatsApp Marketing Overview
WhatsApp has 2.5 billion active users globally. In India, Brazil, and much of Southeast Asia, it's the primary communication platform — more so than email or SMS.
Open rates: 90%+ (vs. 20–30% for email) Response rates: 40–50% (vs. 2–5% for email) Why it works: Users chose to opt in and treat WhatsApp as personal — messages from brands they trust get opened first
The risk: It's the most personal channel. Spam or off-brand tone gets immediate blocks.
WhatsApp Marketing Options
Option 1 — WhatsApp Business App (free) Best for: Small businesses, <1,000 customers, manual messaging
- Business profile setup
- Quick replies and labels
- Broadcast lists (up to 256 contacts)
- Catalog of products
- Limitation: Manual, doesn't scale, no automation
Option 2 — WhatsApp Business API Best for: Medium to large businesses, automation, scale
- Access via BSP (Business Solution Provider): Wati, Interakt, AiSensy, Zoko, Twilio
- Unlimited broadcasts to opted-in customers
- Automated flows and chatbots
- CRM integration
- Requires WhatsApp approval + template pre-approval
Information to Gather
- Business size and volume — how many customers/contacts?
- Primary goal — sales, support, retention, or all?
- Market — India, Middle East, Southeast Asia, Brazil, global?
- Current setup — WhatsApp Business App or API?
- Budget — for BSP platform + messaging costs?
- Existing customer database — do they have opted-in contacts?
- Industry — any compliance restrictions (finance, healthcare)?
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.
- 13d ago First seen · 255 lines · 135 tokens per session scan A ea93fd3ae183
whatsapp-marketing is a skill published in the GitHub repository arnabbagxd/Brand-building-skills (637 stars, last pushed 3mo ago), licensed MIT. It adds 135 tokens to every session and 2,300 once invoked, about $0.0007 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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