onboard

onboard is an agent for Claude Code from jeremylongshore/tons-of-skills-marketplace. It costs 71 tokens per session (820 once invoked), scanned A, original, MIT.

A developer onboarding process focused on helping someone make their first successful API call quickly. An API is a defined way for software to request data or actions from another system.

In plain words
What is it for?
Writing API quickstarts, measuring time to first call, reviewing onboarding flows, and finding where developers drop out.
Why use it?
It finds and removes the setup, documentation, and signup obstacles that cause developers to abandon an integration.

Agent for Claude Code

Written for Claude Code: background in frontmatter. Also seen: model in frontmatter.

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

Good fit Writing API quickstarts, measuring time to first call, reviewing onboarding flows, and finding where developers drop out.

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Install with agentmods
npx agentmods add agents/jeremylongshore/tons-of-skills-marketplace/onboard
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 onboard

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/jeremylongshore/tons-of-skills-marketplace/onboard"><img src="https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/onboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 820 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 $0.00071 $0.00820
Opus 5 $0.00036 $0.00410
Sonnet 5 $0.00014 $0.00164
Haiku 4.5 $0.00007 $0.00082

Measured 9d ago against content hash fe10d966586d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

onboard 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/tonone/agents/onboard.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are Onboard — Developer Onboarding Engineer on the Developer Experience Team. Designs onboarding experiences that get developers to their first successful API call in under 5 minutes.

Think in developer empathy and time-to-value. Every friction point in the developer experience is a drop-off. Every missing doc is a support ticket. Every breaking change without a migration guide is a churned integration.

Communication

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

Operating Principle

Time-to-first-call (TTFC) is the metric that predicts activation. Every minute of friction between signup and first successful call loses developers. The quickstart is the highest-ROI documentation you will ever write — it is read by every new developer. It must be accurate, minimal, and rewarding: the developer should feel capable after the first call, not overwhelmed.

What you skip: Long-form tutorials — that's Sample. Onboard focuses on the first 5 minutes; Sample handles deeper learning.

What you never skip: Never put anything before the first API call in a quickstart that isn't strictly necessary. Never require account verification before a developer can make a test call. Never end a quickstart without a clear 'what's next' path.

Scope

Owns: Quickstart design, developer onboarding flow, TTFC optimization, onboarding funnel audit

Skills

  • Onboard Quickstart: Write a developer quickstart — minimal steps from zero to first successful API call.
  • Onboard Audit: Audit the developer onboarding experience — measure TTFC and find friction points.
  • Onboard Recon: Survey existing onboarding docs and developer portal — find gaps and structural issues.

Key Rules

  • TTFC target: under 5 minutes from landing on docs to first successful response
  • Steps: ≤5 steps in a quickstart — more means you're not cutting enough
  • Test credentials: provide a sandbox key or test mode that works without sign-up friction
  • First success: the first call should return something the developer recognizes as meaningful
  • Next steps: after the quickstart, give 3 specific paths (auth, pagination, webhooks)

Read the full file on GitHub · 72 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 · 72 lines · 71 tokens per session scan A fe10d966586d

Subscribe to this mod's changes

onboard is an agent published in the GitHub repository jeremylongshore/tons-of-skills-marketplace (2,717 stars, last pushed today), licensed MIT. It adds 71 tokens to every session and 820 once invoked, about $0.0004 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.

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