onboarding-tutor

onboarding-tutor is a skill for Claude Code from reatlat/fullstory-claude-plugin. It costs 50 tokens per session (1,465 once invoked), scanned B, original, MIT.

An interactive introduction to Fullstory MCP, a way to ask questions about product-usage data in natural language.

In plain words
What is it for?
Use it to learn the first queries, understand available analysis skills, and tailor an introduction for product managers, engineers, designers, or support staff.
Why use it?
It helps new users understand the basic ideas and start investigating sessions, measurements, and user groups without knowing SQL.

Skill for Claude Code

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

Part of the fullstory-claude-plugin plugin — 46 skills, 3 agents, 1 MCP server shipped together

Good fit Use it to learn the first queries, understand available analysis skills, and tailor an introduction for product managers, engineers, designers, or support staff.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/reatlat/fullstory-claude-plugin/onboarding-tutor
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 reatlat/fullstory-claude-plugin --skill onboarding-tutor
Clone the repo
git clone --depth 1 https://github.com/reatlat/fullstory-claude-plugin

Made for: Claude Code.

Or install fullstory-claude-plugin, the plugin that ships this one along with the rest of its 46 skills, 3 agents, 1 MCP server.

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 onboarding-tutor

README.md
[![agentmods](https://agentmods.dev/badge/skills/reatlat/fullstory-claude-plugin/onboarding-tutor/github.svg)](https://agentmods.dev/skills/reatlat/fullstory-claude-plugin/onboarding-tutor)
Your own site
<a href="https://agentmods.dev/skills/reatlat/fullstory-claude-plugin/onboarding-tutor"><img src="https://agentmods.dev/badge/skills/reatlat/fullstory-claude-plugin/onboarding-tutor/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 onboarding-tutor

Your own site · 80×15
<a href="https://agentmods.dev/skills/reatlat/fullstory-claude-plugin/onboarding-tutor"><img src="https://agentmods.dev/badge/skills/reatlat/fullstory-claude-plugin/onboarding-tutor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,465 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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 $0.00050 $0.01465
Opus 5 $0.00025 $0.00732
Sonnet 5 $0.00010 $0.00293
Haiku 4.5 $0.00005 $0.00146

Measured 12d ago against content hash 2e1c15431f90, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

onboarding-tutor scanned grade B with 1 finding 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 12d 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.

Strips warnings and disclaimersmediumAnti-refusal

Omitting safety caveats hides risk from the user and is a common jailbreak preamble.

- Let them drive. After the hello-world query, ask "what do YOU want to know?" — don't lecture.
skills/onboarding-tutor/SKILL.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Onboarding Tutor

Guide new users through Fullstory MCP — teach the mental model, run their first queries, and explain how to use each skill effectively.

When to Use

  • "I'm new to Fullstory MCP — how do I use this?"
  • "Teach me how to ask questions about our product data"
  • "What can I ask Claude about Fullstory?"
  • "Walk me through my first analysis"
  • "What skills should I know about?"
  • "A new PM joined — onboard them to Fullstory"

Mental Model

Fullstory MCP turns your product data into a conversation. The key concepts:

  1. Segments = groups of users ("who")
  2. Metrics = measurements ("what" and "how much")
  3. Sessions = evidence ("why")

You don't need to know SQL or analytics. You ask questions in natural language. Claude figures out which tools to use.

Workflow

Step 1: Welcome and assess

Ask the new user:

  • "What's your role? (PM, engineer, designer, support, exec)"
  • "What kind of questions do you want to answer?"
  • "Have you used Fullstory's UI before, or is this your first time?"

Tailor the onboarding to their role:

  • PM: Metrics, funnels, feature adoption, experiments
  • Engineer: Errors, API monitoring, deploy validation, session debugging
  • Designer: Session review, mobile analysis, a11y, scroll depth, heatmaps
  • Support: Session search, customer 360, user journey, bug reproduction
  • Exec: Dashboards, weekly digests, benchmarks, revenue impact

Step 2: Run a "hello world" query

Start with something simple and guaranteed to work:

"Let's start with the simplest question: how many users visited your site yesterday?"

Walk through what happens:

  1. Claude builds a metric: fullstory:build_metric(query="page views yesterday", output_type="single_number")
  2. Claude computes it: fullstory:compute_metric(metric_id)
  3. Claude presents the answer: "12,340 page views yesterday."

Explain that every question follows this pattern: build → compute → present. More complex questions might add: search first → build → segment → compute → validate → investigate sessions.

Read the full file on GitHub · 147 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. 12d ago First seen · 147 lines · 50 tokens per session scan B 2e1c15431f90

Subscribe to this mod's changes

onboarding-tutor is a skill published in the GitHub repository reatlat/fullstory-claude-plugin (62 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 1,465 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

ios26-api-reference

Authoritative iOS/macOS/watchOS 26 API reference with 3-tier smart loading. Prevents crashes from hallucinated APIs. Trigger on ANY code involving FoundationModels, SpeechTranscriber, SpeechAnalyzer, @Generable, LanguageModelSession, glassEffect, SwiftData, @Observable, Live Activity, App Intents, Vision…

markdavidgan/apple-dev-skills · 120 tokens

mba-infographic-prompts

Generate a ready-to-paste GPT image prompt for an MBA classroom infographic — formula, framework, process, comparison, study sheet, or concept map. Output is a polished prompt formatted per the OpenAI gpt-image-2 prompting guide plus a fresh ChatGPT link to paste it into; this skill produces text, not images.…

refaelach/gmba-class-19-skills · 324 tokens

exam-prep

Turn past exams into a realistic mock exam that mirrors how the real one will feel — same question types, same structure, same point distribution, same phrasing style. The skill reads one or more past exams, detects the patterns (multiple choice, short answer, case scenarios, calculation problems, essays — whatever…

refaelach/gmba-class-19-skills · 287 tokens

explainer

A tool for making narrated explainer or tutorial videos with computer-generated visuals. It can help create the script, the video, or both.

marswaveai/skills · 56 tokens

lov-subtitle-freedom

Create learner-friendly English subtitles with level-aware glosses and optional spoiler-safe subtitle sidecars.

lovstudio/skills · 25 tokens

roblox-input

Use when handling Roblox keyboard, mouse, gamepad, touch, motion input, or cross-platform action binding.

TabooHarmony/roblox-brain · 26 tokens