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 natea/ExoMind --skill whatsapp-message-managementgit clone --depth 1 https://github.com/natea/ExoMindWrote 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/natea/exomind/whatsapp-message-management)<a href="https://agentmods.dev/skills/natea/exomind/whatsapp-message-management"><img src="https://agentmods.dev/badge/skills/natea/exomind/whatsapp-message-management/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/natea/exomind/whatsapp-message-management"><img src="https://agentmods.dev/badge/skills/natea/exomind/whatsapp-message-management.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 | $0.07517 |
| Opus 5 | $0.00017 | $0.03759 |
| Sonnet 5 | $0.00007 | $0.01503 |
| Haiku 4.5 | $0.00003 | $0.00752 |
Grade A, and why
whatsapp-message-management 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 5d 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 — 1,051 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WhatsApp Message Management
Overview
Transform WhatsApp into a powerful life management interface that works seamlessly with ExoMind's task, habit, and knowledge systems. This skill enables mobile-first workflows where you can capture thoughts, receive daily briefings, check in on habits, and manage your life through natural WhatsApp conversations.
Core principle: Meet users where they are (on their phone) with quick, actionable messages that integrate with the broader ExoMind ecosystem.
Announce at start: "I'm using the WhatsApp message management skill to help you manage your life via mobile messaging."
Quick Reference
| Phase | Key Activities | Tool Usage | Output |
|---|---|---|---|
| 1. Setup | Configure WhatsApp MCP connection | Check MCP server status | Connected messaging channel |
| 2. Quick Capture | Parse incoming messages for tasks/notes | mcp__whatsapp__send_message, Task creation |
Captured items in system |
| 3. Daily Briefing | Generate and send morning/evening updates | Life OS skills, mcp__whatsapp__send_message |
Timely briefings delivered |
| 4. Habit Check-ins | Send reminders and log responses | Habit tracking, mcp__whatsapp__send_message |
Habit streaks maintained |
| 5. Contextual Queries | Answer questions using ExoMind knowledge | RAG search, mcp__whatsapp__send_message |
Informed responses |
Life OS Integration
This skill integrates seamlessly with the Life OS workflow system:
- daily-planning: Get morning priorities and tasks for briefings
- weekly-review: Send weekly summaries and reflection prompts
- processing-inbox: Quick capture flows into inbox processing
- conducting-life-assessment: Track progress via daily briefings
- goal-setting: Link daily tasks to quarterly goals
When to Use
- User mentions "send me" or "message me on WhatsApp"
- Daily briefing requests ("morning summary", "evening recap")
- Quick capture scenarios ("I'll message you the task")
- Habit tracking reminders ("remind me to...")
- Mobile-first workflows
- Time-sensitive notifications
- On-the-go task management
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.
- 5d ago First seen · 1,051 lines · 34 tokens per session scan A 72a55679a900
whatsapp-message-management is a skill published in the GitHub repository natea/ExoMind (21 stars, last pushed 10mo ago), licensed MIT. It adds 34 tokens to every session and 7,517 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 2026-09-03.
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