whatsapp-autoresponder

whatsapp-autoresponder is a skill for Claude Code, Codex from InitechSoftware/openclaw-whatsapp-skills. It costs 94 tokens per session (1,190 once invoked), scanned A, original, MIT.

A skill that replies to incoming WhatsApp messages received through a TimelinesAI webhook, which is an automated notification sent by that service.

In plain words
What is it for?
Use it to answer inbound customer messages, route conversations that need a person, and send replies back into the same WhatsApp chat.
Why use it?
It helps automate replies while checking that the conversation belongs to the allowed WhatsApp number and is not marked for human handling.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to answer inbound customer messages, route conversations that need a person, and send replies back into the same WhatsApp chat.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/initechsoftware/openclaw-whatsapp-skills/whatsapp-autoresponder
Install

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.

Any agent
npx skills add InitechSoftware/openclaw-whatsapp-skills --skill whatsapp-autoresponder
Clone the repo
git clone --depth 1 https://github.com/InitechSoftware/openclaw-whatsapp-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for whatsapp-autoresponder

README.md
[![agentmods](https://agentmods.dev/badge/skills/initechsoftware/openclaw-whatsapp-skills/whatsapp-autoresponder/github.svg)](https://agentmods.dev/skills/initechsoftware/openclaw-whatsapp-skills/whatsapp-autoresponder)
Your own site
<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.

agentmods 80×15 button for whatsapp-autoresponder

Your own site · 80×15
<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>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,190 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 12d ago against content hash e787da55e26c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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" \
skills/whatsapp-autoresponder/SKILL.md · 104 lines

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.

Read the full file on GitHub · 104 lines

Files

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.

Changes

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.

  1. 12d ago First seen · 104 lines · 94 tokens per session scan A e787da55e26c

Subscribe to this mod's changes

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.