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 Stijnman/grok-custom-skills --skill whatsapp-auto-respondergit clone --depth 1 https://github.com/Stijnman/grok-custom-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/stijnman/grok-custom-skills/whatsapp-auto-responder)<a href="https://agentmods.dev/skills/stijnman/grok-custom-skills/whatsapp-auto-responder"><img src="https://agentmods.dev/badge/skills/stijnman/grok-custom-skills/whatsapp-auto-responder/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/stijnman/grok-custom-skills/whatsapp-auto-responder"><img src="https://agentmods.dev/badge/skills/stijnman/grok-custom-skills/whatsapp-auto-responder.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 | $0.00047 | $0.00508 |
| Opus 5 | $0.00023 | $0.00254 |
| Sonnet 5 | $0.00009 | $0.00102 |
| Haiku 4.5 | $0.00005 | $0.00051 |
Grade A, and why
whatsapp-auto-responder 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 9d 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.
What it actually says
WhatsApp Auto Responder
When to Use
- User says auto reply WhatsApp or task matches this capability
- User says enable WhatsApp assistant or task matches this capability
- User says reply on WhatsApp or task matches this capability
Workflow
- Keep the workflow in draft-only mode unless the user has explicitly enabled auto-mode for the named contact, message category, and time period.
- Rate an incoming message via whatsapp-message-rater. If spam > 7, do not reply; if urgency > 8, notify the user immediately.
- Draft a reply and run privacy-redactor on the draft.
- Before activating, changing, or renewing auto-mode, present the contact scope, exclusions, rate limit, and expiration for explicit user approval.
- Require hitl-approver before every send outside the approved auto-mode scope, for medium-or-higher risk content, and for financial, legal, sensitive, or ambiguous messages.
- Send only within the active approved scope and log the outcome; respect a maximum of 10 auto-replies per hour per contact.
Integrations
whatsapp-message-raterhitl-approverprivacy-redactorcron-scheduler
Error Handling
| Failure | Response |
|---|---|
| Rate limit hit | Queue for user review; do not send. |
| Bridge unavailable | Draft only; tell user to send manually. |
Gotchas
- Never auto-reply to financial, legal, sensitive, or ambiguous content.
- Do not infer contact consent, recipient identity, auto-mode scope, or authorization from prior messages.
Example
Input: User request matching triggers above. Output: Structured result per workflow with integrations invoked as needed.
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.
- 9d ago First seen · 52 lines · 47 tokens per session scan A fc2eab1f8434
whatsapp-auto-responder is a skill published in the GitHub repository Stijnman/grok-custom-skills (9 stars, last pushed 2d ago), licensed MIT. It adds 47 tokens to every session and 508 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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