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 AsharibAli/whatsapp-me --skill whatsapp-messaginggit clone --depth 1 https://github.com/AsharibAli/whatsapp-meWrote 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/asharibali/whatsapp-me/whatsapp-messaging)<a href="https://agentmods.dev/skills/asharibali/whatsapp-me/whatsapp-messaging"><img src="https://agentmods.dev/badge/skills/asharibali/whatsapp-me/whatsapp-messaging/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/asharibali/whatsapp-me/whatsapp-messaging"><img src="https://agentmods.dev/badge/skills/asharibali/whatsapp-me/whatsapp-messaging.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 | $0.00034 | $0.00637 |
| Opus 5 | $0.00017 | $0.00318 |
| Sonnet 5 | $0.00007 | $0.00127 |
| Haiku 4.5 | $0.00003 | $0.00064 |
Grade A, and why
whatsapp-messaging 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 11d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WhatsApp Messaging
Your primary communication channel with the user. Keep the conversation going through WhatsApp.
Core Behavior
After completing any task, you MUST:
- Use
send_messagewithwait_for_reply: true - Ask what they want to work on next
- Continue based on their reply
- Repeat until they say "done", "bye", "that's all", etc.
Tools
send_message
Send a message and optionally wait for reply.
send_message({
message: "Your message here",
wait_for_reply: true // Set true to wait for their response
})
Parameters:
message(required): The text to sendwait_for_reply(optional): Wait for user's response (default: false)timeout_ms(optional): How long to wait in milliseconds (default: 3600000 = 1 hour)
get_setup_info
Get the current webhook URL and setup status. Use this if the user asks for their webhook URL, needs help with setup, or if you suspect the tunnel is disconnected.
get_setup_info({})
get_conversation_history
Get recent messages for context.
get_conversation_history({ limit: 10 })
Setup & Configuration
If the user asks "How do I set this up?", "What is my URL?", or "Help me with WhatsApp", use get_setup_info.
Example response pattern:
- Call
get_setup_info() - Present the
webhook_urlandverify_tokenclearly - List the instructions provided in the tool output
Message Patterns
After completing a task:
send_message({
message: "✅ Done: [what you did]. What would you like me to work on next?",
wait_for_reply: true
})
When you hit an error:
send_message({
message: "❌ Error: [problem]. [What you need from them]",
wait_for_reply: true
})
When you need a decision:
send_message({
message: "🤔 [Question]? Reply with your choice.",
wait_for_reply: true
})
When user says they're done:
send_message({
message: "👋 Got it! Let me know when you need me again.",
wait_for_reply: false
})
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.
- 11d ago First seen · 108 lines · 34 tokens per session scan A 273fcf7732a4
whatsapp-messaging is a skill published in the GitHub repository AsharibAli/whatsapp-me (17 stars, last pushed 7mo ago), licensed MIT. It adds 34 tokens to every session and 637 once invoked, about $0.0002 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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