make-builder

make-builder is a command for Claude Code from jeremylongshore/tons-of-skills-marketplace. It costs 10 tokens per session (2,013 once invoked), scanned A, original, MIT.

A guide for designing Make.com scenarios, which are visual workflows that connect apps and automate tasks. It describes the modules and settings needed for workflows such as email replies and lead scoring.

In plain words
What is it for?
Use it to plan Make.com workflows involving services such as Gmail, OpenAI, webhooks, and Google Sheets.
Why use it?
It removes the guesswork from deciding which connected apps and steps an automation needs. It also documents the settings for each step.

Command for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the make-scenario-builder plugin — 1 command, 1 agent shipped together

Good fit Use it to plan Make.com workflows involving services such as Gmail, OpenAI, webhooks, and Google Sheets.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/jeremylongshore/tons-of-skills-marketplace/make-builder
About the project

Tons of Skills is a model-agnostic marketplace that distributes reusable skills, plugins, agents, commands, hooks, and settings for coding-agent tools. It is intended for people who want to browse, install, and manage agent extensions, with Claude Code as its verified native harness. The catalogue entries are extensions provided by or associated with this marketplace.

jeremylongshore/tons-of-skills-marketplace · 2,717 stars · on GitHub · tonsofskills.com

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.

Clone the repo
git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace

Made for: Claude Code.

Or install make-scenario-builder, the plugin that ships this one along with the rest of its 1 command, 1 agent.

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 make-builder

README.md
[![agentmods](https://agentmods.dev/badge/commands/jeremylongshore/tons-of-skills-marketplace/make-builder/github.svg)](https://agentmods.dev/commands/jeremylongshore/tons-of-skills-marketplace/make-builder)
Your own site
<a href="https://agentmods.dev/commands/jeremylongshore/tons-of-skills-marketplace/make-builder"><img src="https://agentmods.dev/badge/commands/jeremylongshore/tons-of-skills-marketplace/make-builder/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 make-builder

Your own site · 80×15
<a href="https://agentmods.dev/commands/jeremylongshore/tons-of-skills-marketplace/make-builder"><img src="https://agentmods.dev/badge/commands/jeremylongshore/tons-of-skills-marketplace/make-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 10 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,013 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.
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 $0.00010 $0.02013
Opus 5 $0.00005 $0.01007
Sonnet 5 $0.00002 $0.00403
Haiku 4.5 $0.00001 $0.00201

Measured 9d ago against content hash ffe2eaa6477e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

make-builder 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.

plugins/ai-agency/make-scenario-builder/commands/make-builder.md · 291 lines

How it starts

The opening of the file, as written. The whole thing — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Make.com Scenario Builder

Create visual Make.com automation scenarios with detailed module configuration.

Usage

When the user requests a Make.com scenario, design a complete visual workflow with module-by-module instructions.

Scenario Templates

1. AI Email Auto-Responder

Flow:

Gmail: Watch emails
  → OpenAI: Generate response
  → Gmail: Send email
  → Google Sheets: Log conversation

Module Configuration:

  1. Gmail: Watch emails

    • Connection: Your Gmail
    • Folder: INBOX
    • Criteria: Unread messages
    • Max results: 10
  2. OpenAI: Create completion

    • Connection: Your OpenAI API
    • Model: gpt-4
    • Max tokens: 500
    • Temperature: 0.7
    • Prompt: Draft a professional response to:\n\nFrom: {{1.from}}\nSubject: {{1.subject}}\nBody: {{1.textPlain}}
  3. Gmail: Send an email

    • To: {{1.from}}
    • Subject: Re: {{1.subject}}
    • Content: {{2.choices[0].message.content}}
  4. Google Sheets: Add a row

    • Spreadsheet: Email Log
    • Sheet: Responses
    • From: {{1.from}}
    • Subject: {{1.subject}}
    • Response: {{2.choices[0].message.content}}
    • Date: {{now}}

2. Lead Qualification with AI

Flow:

Webhook: Custom webhook
  → OpenAI: Score lead
  → Router:
     ├─ High score → Slack notification + HubSpot deal
     ├─ Medium score → Email nurture
     └─ Low score → Archive to Airtable

Module Configuration:

  1. Webhook

    • Create a custom webhook
    • Expected data: name, email, company, role, budget
  2. OpenAI: Create completion

    • Prompt: Score this lead from 0-100:\nName: {{1.name}}\nCompany: {{1.company}}\nRole: {{1.role}}\nBudget: {{1.budget}}\n\nProvide only the numeric score.
    • Parse: Use Text parser to extract number
  3. Router

    • Route 1 Filter: {{3.score}} Greater than 70
    • Route 2 Filter: {{3.score}} Between 40 and 70
    • Fallback: All other cases

4A. Slack: Create a message (High route)

  • Channel: #sales-leads
  • Text: Hot lead: {{1.name}} from {{1.company}} - Score: {{3.score}}

Read the full file on GitHub · 291 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. 9d ago First seen · 291 lines · 10 tokens per session scan A ffe2eaa6477e

Subscribe to this mod's changes

make-builder is a command published in the GitHub repository jeremylongshore/tons-of-skills-marketplace (2,717 stars, last pushed today), licensed MIT. It adds 10 tokens to every session and 2,013 once invoked, about $0.0001 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.