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.
npx skills add reatlat/fullstory-claude-plugin --skill onboarding-tutorgit clone --depth 1 https://github.com/reatlat/fullstory-claude-pluginWrote 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/skills/reatlat/fullstory-claude-plugin/onboarding-tutor)<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.
<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>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 | $0.00050 | $0.01465 |
| Opus 5 | $0.00025 | $0.00732 |
| Sonnet 5 | $0.00010 | $0.00293 |
| Haiku 4.5 | $0.00005 | $0.00146 |
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. 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:
- Segments = groups of users ("who")
- Metrics = measurements ("what" and "how much")
- 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:
- Claude builds a metric:
fullstory:build_metric(query="page views yesterday", output_type="single_number") - Claude computes it:
fullstory:compute_metric(metric_id) - 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.
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.
- 12d ago First seen · 147 lines · 50 tokens per session scan B 2e1c15431f90
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.
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