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.
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.
git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplaceWrote 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/commands/jeremylongshore/tons-of-skills-marketplace/make-builder)<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.
<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>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 | $0.00010 | $0.02013 |
| Opus 5 | $0.00005 | $0.01007 |
| Sonnet 5 | $0.00002 | $0.00403 |
| Haiku 4.5 | $0.00001 | $0.00201 |
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.
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:
-
Gmail: Watch emails
- Connection: Your Gmail
- Folder: INBOX
- Criteria: Unread messages
- Max results: 10
-
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}}
-
Gmail: Send an email
- To:
{{1.from}} - Subject:
Re: {{1.subject}} - Content:
{{2.choices[0].message.content}}
- To:
-
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:
-
Webhook
- Create a custom webhook
- Expected data: name, email, company, role, budget
-
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
- Prompt:
-
Router
- Route 1 Filter:
{{3.score}}Greater than70 - Route 2 Filter:
{{3.score}}Between40and70 - Fallback: All other cases
- Route 1 Filter:
4A. Slack: Create a message (High route)
- Channel: #sales-leads
- Text:
Hot lead: {{1.name}} from {{1.company}} - Score: {{3.score}}
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.
- 9d ago First seen · 291 lines · 10 tokens per session scan A ffe2eaa6477e
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.
Other commands, from other repositories
triage
Triage Linear issue with comprehensive analysis.
help
Explain Ralph Wiggum technique and available commands.
resume-cover-letter
Write a resume/CV or cover letter for a job application.
todo.template
This prompt was authored for Claude-style slash workflows. In Codex runtime, adapt tool calls as follows.
terse
Switch reply compression level — /terse [lite|full|ultra|off]. Complements RTK (input savings) with output-side savings.
seo-schema
Audits the site's structured data (JSON-LD) — verifies schema types, required fields, validation errors and rich snippet opportunities. TRIGGER when the user enters /seo-schema or asks to review or generate structured data, JSON-LD, schema markup or rich snippets.