activepieces

activepieces is a skill for Claude Code, Codex from TerminalSkills/skills. It costs 74 tokens per session (1,397 once invoked), scanned A, original, Apache-2.0.

An open-source workflow automation platform with a visual builder, integrations, code steps, branching, loops, and webhooks. A workflow is a set of automatic actions triggered by an event.

In plain words
What is it for?
Use it to build no-code integrations, create automated workflows, add custom code steps, and run a self-hosted alternative to services such as Zapier or n8n.
Why use it?
It connects services and automates repeated business tasks, while allowing the platform to be hosted on your own infrastructure.

Skill for Claude CodeCodex

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

Good fit Use it to build no-code integrations, create automated workflows, add custom code steps, and run a self-hosted alternative to services such as Zapier or n8n.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/terminalskills/skills/activepieces
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 TerminalSkills/skills --skill activepieces
Clone the repo
git clone --depth 1 https://github.com/TerminalSkills/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 activepieces

README.md
[![agentmods](https://agentmods.dev/badge/skills/terminalskills/skills/activepieces/github.svg)](https://agentmods.dev/skills/terminalskills/skills/activepieces)
Your own site
<a href="https://agentmods.dev/skills/terminalskills/skills/activepieces"><img src="https://agentmods.dev/badge/skills/terminalskills/skills/activepieces/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 activepieces

Your own site · 80×15
<a href="https://agentmods.dev/skills/terminalskills/skills/activepieces"><img src="https://agentmods.dev/badge/skills/terminalskills/skills/activepieces.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,397 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 pass 7 Sept 2026
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 $0.00074 $0.01397
Opus 5.5 $0.00030 $0.00559
Sonnet 5.5 $0.00015 $0.00279
Haiku 4.5 $0.00007 $0.00140

Measured 18d ago against content hash 5b5cfdb6be7c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

activepieces 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 18d 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.

skills/activepieces/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Activepieces

Overview

Activepieces is an open-source workflow automation platform built with TypeScript. It ships a visual flow builder, 400+ pre-built pieces (integrations), MCP server support, code steps, and conditional branching. It is self-hosted for free with no limit on flows or runs, or used as a managed cloud service.

Instructions

Self-host with Docker Compose

Generate the two secrets first, then start the stack:

export AP_ENCRYPTION_KEY=$(openssl rand -hex 16)   # 256-bit key, 32 hex chars
export AP_JWT_SECRET=$(openssl rand -hex 32)
# docker-compose.yml
services:
  activepieces:
    image: ghcr.io/activepieces/activepieces:latest
    ports: ["8080:80"]
    environment:
      AP_ENGINE_EXECUTABLE_PATH: dist/packages/engine/main.js
      AP_API_URL: http://localhost:8080/api
      AP_FRONTEND_URL: http://localhost:8080
      AP_ENCRYPTION_KEY: ${AP_ENCRYPTION_KEY}
      AP_JWT_SECRET: ${AP_JWT_SECRET}
      AP_POSTGRES_DATABASE: activepieces
      AP_POSTGRES_HOST: postgres
      AP_POSTGRES_PORT: "5432"
      AP_POSTGRES_USERNAME: activepieces
      AP_POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
      AP_REDIS_HOST: redis
      AP_REDIS_PORT: "6379"
      AP_EXECUTION_MODE: UNSANDBOXED
    depends_on: [postgres, redis]

  postgres:
    image: postgres:16
    environment:
      POSTGRES_DB: activepieces
      POSTGRES_USER: activepieces
      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
    volumes: [pgdata:/var/lib/postgresql/data]

  redis:
    image: redis:7-alpine

volumes:
  pgdata:
export POSTGRES_PASSWORD=$(openssl rand -hex 16)
docker compose up -d

AP_ENCRYPTION_KEY and AP_JWT_SECRET must stay the same for the life of the deployment: rotating the encryption key makes every stored connection undecryptable, and rotating the JWT secret signs everyone out.

Build a flow with a code step

Code steps run Node.js inside the flow:

// Inside an Activepieces Code step
export const code = async (inputs: { lineItems: { sku: string; price: number; qty: number }[] }) => {
  const total = inputs.lineItems.reduce((sum, item) => sum + item.price * item.qty, 0)
  return {
    total,
    overThreshold: total > 500,
  }
}

Read the full file on GitHub · 153 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. 18d ago Changed · +51 lines · +30 tokens per session 5b5cfdb6be7c
  2. 1mo ago First seen · 102 lines · 44 tokens per session scan A 798a3823b9e1

Subscribe to this mod's changes

activepieces is a skill published in the GitHub repository TerminalSkills/skills (175 stars, last pushed yesterday), licensed Apache-2.0. It adds 74 tokens to every session and 1,397 once invoked, about $0.0003 per session on Opus 5.5. 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.