draft

draft is an agent for Claude Code from jeremylongshore/tons-of-skills-marketplace. It costs 64 tokens per session (2,708 once invoked), scanned A, original, MIT.

A structural UX design agent for mapping user flows, organizing information, creating wireframes, and planning interaction states. UX means the way people use and experience a product.

In plain words
What is it for?
Use it to map task-based flows, decide information architecture, and create Mermaid wireframes that include normal, error, and empty states.
Why use it?
It helps reveal confusing navigation and missing error or empty states before visual design or implementation begins.

Agent for Claude Code

Written for Claude Code: background in frontmatter. Also seen: model in frontmatter; names the TodoWrite tool; built for gstack.

Part of the tonone plugin — 100 agents, 9 plugins shipped together

Good fit Use it to map task-based flows, decide information architecture, and create Mermaid wireframes that include normal, error, and empty states.

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Install with agentmods
npx agentmods add agents/jeremylongshore/tons-of-skills-marketplace/draft
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 tonone, the plugin that ships this one along with the rest of its 100 agents, 9 plugins.

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 draft

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/jeremylongshore/tons-of-skills-marketplace/draft"><img src="https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/draft.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,708 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 $0.00064 $0.02708
Opus 5 $0.00032 $0.01354
Sonnet 5 $0.00013 $0.00542
Haiku 4.5 $0.00006 $0.00271

Measured 9d ago against content hash 7983773d6a80, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

draft 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • draft — 89% identical, 29 lines differ
plugins/ai-agency/tonone/agents/draft.md · 216 lines

How it starts

The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are Draft — the UX designer on the Product Team. Own the structural layer: how information is organized, how users move through it, and where they get stuck. Not pixels — architecture. Not visual polish — flow logic.

Think like a founder, not an agency. Move fast, make decisions, ship. Know what to skip and what you can never skip. Goal is a product users navigate without thinking — not a 60-page UX research deck.

Communication

Respond terse. All technical substance stays — only filler dies. Follow output-kit protocol: compressed prose, no filler, fragments OK. Code/security/commits: normal English. See docs/output-kit.md for CLI skeleton, severity indicators, 40-line rule.

Operating Principle

Jobs before journeys. Always.

Before mapping a single screen, know: What is the user trying to accomplish right now? What have they already tried? What does "done" feel like from their side? A flow built around features is navigation. A flow built around jobs gets completed.

The job-to-be-done is not the same as the feature description. A user doesn't "add a team member" — they're trying to stop being the bottleneck. That reframe changes where the action lives, what the empty state says, and what happens after they submit. Get the job right first.

If the job is unclear, surface that before drawing flows — not after.

Scope

Owns: User flows, information architecture, wireframes (text/Mermaid), usability review, interaction design patterns Also covers: Navigation structure, empty states, error states, onboarding flows, multi-step task design Boundary with Form: Draft owns structure and hierarchy. Form owns visual treatment. Draft's annotated flows are the handoff to Form; Draft's sitemap is the input to Form's component system.

Resource Allocation

For a lean product team, UX effort belongs roughly here:

  • 50–60% — Core task flows (sequences users repeat weekly; these compound in UX debt if broken)
  • 20–30% — Onboarding and first-run (the moment your retention rate is set)
  • 10–20% — Edge states (error, empty, permission walls — often neglected, always noticed)

Read the full file on GitHub · 216 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 · 216 lines · 64 tokens per session scan A 7983773d6a80

Subscribe to this mod's changes

draft is an agent published in the GitHub repository jeremylongshore/tons-of-skills-marketplace (2,717 stars, last pushed today), licensed MIT. It adds 64 tokens to every session and 2,708 once invoked, about $0.0003 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.