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automate-whatsapp

automate-whatsapp is a skill for Claude Code, Codex from benjaminasterA/antigravity-awesome-skills. It costs 44 tokens per session (2,572 once invoked), scanned A, original, MIT.

A toolkit for building WhatsApp message automations with Kapso, including message triggers, connected services, stored data, and workflow runs.

In plain words
What is it for?
Use it to create or change workflows, connect phone-number triggers, deploy functions, inspect runs, and store automation data. It can also help resolve conflicting edits by checking the workflow's version before updating it.
Why use it?
It removes the need to manually configure and update each part of a WhatsApp automation through separate systems.

Skill for Claude CodeCodex

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

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is node scripts/openapi-explore.mjs --spec workflows search "variables".

not rated 264repo +23 yesterday A scan SkillSpector: warn 44 tokens original MIT

Good fit Use it to create or change workflows, connect phone-number triggers, deploy functions, inspect runs, and store automation data. It can also help resolve conflicting edits by checking the workflow's version before updating it.

Compare 6 skills from other repositories ↓
View source ↗ benjaminasterA/antigravity-awesome-skills
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/benjaminasterA/antigravity-awesome-skills
agentmods
npx agentmods add skills/benjaminastera/antigravity-awesome-skills/automate-whatsapp

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 automate-whatsapp

README.md
[![agentmods](https://agentmods.dev/badge/skills/benjaminastera/antigravity-awesome-skills/automate-whatsapp/github.svg)](https://agentmods.dev/skills/benjaminastera/antigravity-awesome-skills/automate-whatsapp)
Your own site
<a href="https://agentmods.dev/skills/benjaminastera/antigravity-awesome-skills/automate-whatsapp"><img src="https://agentmods.dev/badge/skills/benjaminastera/antigravity-awesome-skills/automate-whatsapp/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 automate-whatsapp

Your own site · 80×15
<a href="https://agentmods.dev/skills/benjaminastera/antigravity-awesome-skills/automate-whatsapp"><img src="https://agentmods.dev/badge/skills/benjaminastera/antigravity-awesome-skills/automate-whatsapp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,572 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Prompt Injection · line 245
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
How audits are shown
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 $0.00044 $0.02572
Opus 5 $0.00022 $0.01286
Sonnet 5 $0.00009 $0.00514
Haiku 4.5 $0.00004 $0.00257

Measured 12d ago against content hash 42e45384c30b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

automate-whatsapp 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 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.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/automate-whatsapp/SKILL.md · 258 lines

How it starts

The opening of the file, as written. The whole thing — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Automate WhatsApp

When to use

Use this skill to build and run WhatsApp automations: workflow CRUD, graph edits, triggers, executions, function management, app integrations, and D1 database operations.

Setup

Env vars:

  • KAPSO_API_BASE_URL (host only, no /platform/v1)
  • KAPSO_API_KEY

How to

Edit a workflow graph

  1. Fetch graph: node scripts/get-graph.js <workflow_id> (note the lock_version)
  2. Edit the JSON (see graph rules below)
  3. Validate: node scripts/validate-graph.js --definition-file <path>
  4. Update: node scripts/update-graph.js <workflow_id> --expected-lock-version <n> --definition-file <path>
  5. Re-fetch to confirm

For small edits, use edit-graph.js with --old-file and --new-file instead.

If you get a lock_version conflict: re-fetch, re-apply changes, retry with new lock_version.

Manage triggers

  1. List: node scripts/list-triggers.js <workflow_id>
  2. Create: node scripts/create-trigger.js <workflow_id> --trigger-type <type> --phone-number-id <id>
  3. Toggle: node scripts/update-trigger.js --trigger-id <id> --active true|false
  4. Delete: node scripts/delete-trigger.js --trigger-id <id>

For inbound_message triggers, first run node scripts/list-whatsapp-phone-numbers.js to get phone_number_id.

Debug executions

  1. List: node scripts/list-executions.js <workflow_id>
  2. Inspect: node scripts/get-execution.js <execution-id>
  3. Get value: node scripts/get-context-value.js <execution-id> --variable-path vars.foo
  4. Events: node scripts/list-execution-events.js <execution-id>

Create and deploy a function

  1. Write code with handler signature (see function rules below)
  2. Create: node scripts/create-function.js --name <name> --code-file <path>
  3. Deploy: node scripts/deploy-function.js --function-id <id>
  4. Verify: node scripts/get-function.js --function-id <id>

Set up agent node with app integrations

  1. Find model: node scripts/list-provider-models.js
  2. Find account: node scripts/list-accounts.js --app-slug <slug> (use pipedream_account_id)
  3. Find action: node scripts/search-actions.js --query <word> --app-slug <slug> (action_id = key)
  4. Create integration: node scripts/create-integration.js --action-id <id> --app-slug <slug> --account-id <id> --configured-props <json>
  5. Add tools to agent node via flow_agent_app_integration_tools

Read the full file on GitHub · 258 lines

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 · 258 lines · 44 tokens per session scan A 42e45384c30b

Subscribe to this mod's changes

automate-whatsapp is a skill published in the GitHub repository benjaminasterA/antigravity-awesome-skills (264 stars, last pushed yesterday), licensed MIT. It adds 44 tokens to every session and 2,572 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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