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 InitechSoftware/openclaw-whatsapp-skills --skill whatsapp-autorespondergit clone --depth 1 https://github.com/InitechSoftware/openclaw-whatsapp-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/initechsoftware/openclaw-whatsapp-skills/whatsapp-autoresponder)<a href="https://agentmods.dev/skills/initechsoftware/openclaw-whatsapp-skills/whatsapp-autoresponder"><img src="https://agentmods.dev/badge/skills/initechsoftware/openclaw-whatsapp-skills/whatsapp-autoresponder/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/initechsoftware/openclaw-whatsapp-skills/whatsapp-autoresponder"><img src="https://agentmods.dev/badge/skills/initechsoftware/openclaw-whatsapp-skills/whatsapp-autoresponder.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 | $0.00094 | $0.01190 |
| Opus 5 | $0.00047 | $0.00595 |
| Sonnet 5 | $0.00019 | $0.00238 |
| Haiku 4.5 | $0.00009 | $0.00119 |
Grade A, and why
whatsapp-autoresponder scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
CHAT_JID=$(curl -sS -H "Authorization: Bearer $TIMELINES_AI_API_KEY" \ How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WhatsApp autoresponder
You receive an invocation from the webhook receiver with a payload like:
{
"chat_id": 12345678,
"text": "do you support Shopify?",
"sender_phone": "+15550200",
"sender_name": "Customer",
"message_uid": "c9054496-c8d2-4596-9786-aa872da4b743",
"allowed_sender_jid": "[email protected]"
}
Your job: compose a reply to the incoming text and send it back into the same chat. But before you send, check two guardrails.
Step 1 — Verify chat ownership (multi-number safety)
If your workspace has more than one WhatsApp number connected, the chat's whatsapp_account_id determines who the reply will come from. You must confirm that matches the sender JID this skill is allowed to speak as, or you will leak persona — replying to a sales chat from the support number is a hard mistake to explain.
CHAT_JID=$(curl -sS -H "Authorization: Bearer $TIMELINES_AI_API_KEY" \
"https://app.timelines.ai/integrations/api/chats/$CHAT_ID" \
| jq -r '.data.whatsapp_account_id')
if [ "$CHAT_JID" != "$ALLOWED_SENDER_JID" ]; then
echo "chat $CHAT_ID owned by $CHAT_JID, not $ALLOWED_SENDER_JID — skipping"
exit 0
fi
Single-number workspaces can skip this check — there's only one possible sender.
Step 2 — Check for stop-reply labels
If a human teammate has tagged the chat with needs-human, escalate, or pause-bot, the bot must exit silently without sending anything. This is how humans take over without confusing the customer with an overlapping agent reply.
LABELS=$(curl -sS -H "Authorization: Bearer $TIMELINES_AI_API_KEY" \
"https://app.timelines.ai/integrations/api/chats/$CHAT_ID/labels" \
| jq -r '.data.labels[]? // empty')
case "$LABELS" in
*needs-human*|*escalate*|*pause-bot*)
echo "stop-reply label present — exiting without reply"
exit 0
;;
esac
Step 3 — Reply
Compose your reply text (one short paragraph; if you need conversation history for context, fetch it with GET /chats/$CHAT_ID/messages?limit=20). Write the payload to a file with explicit UTF-8 encoding — never use inline -d "..." with anything that might contain em-dashes, smart quotes, or emoji, because shell encoding will mangle the bytes and the JSON parser will reject the whole request.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 104 lines · 94 tokens per session scan A e787da55e26c
whatsapp-autoresponder is a skill published in the GitHub repository InitechSoftware/openclaw-whatsapp-skills (3 stars, last pushed 5mo ago), licensed MIT. It adds 94 tokens to every session and 1,190 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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