Borrowing it
Nothing to install: this file belongs to motorway-sandbox/product-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/motorway-sandbox/product-os/main/.claude/commands/learn-2-solution.mdgit clone --depth 1 https://github.com/motorway-sandbox/product-osWrote 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/motorway-sandbox/product-os/learn-2-solution)<a href="https://agentmods.dev/commands/motorway-sandbox/product-os/learn-2-solution"><img src="https://agentmods.dev/badge/commands/motorway-sandbox/product-os/learn-2-solution/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/motorway-sandbox/product-os/learn-2-solution"><img src="https://agentmods.dev/badge/commands/motorway-sandbox/product-os/learn-2-solution.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 | $0.00000 | $0.03873 |
| Opus 5 | $0.00000 | $0.01937 |
| Sonnet 5 | $0.00000 | $0.00775 |
| Haiku 4.5 | $0.00000 | $0.00387 |
Grade C, and why
learn-2-solution scanned grade C 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 3d 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.
Tells the agent never to refusehighAnti-refusal
Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.
- **If the PM asks you to write something**, get their thinking first (even rough bullet points), then write it up for them. The PM's job is the thinking and the decisions — structure and formatting is where you add valu How it starts
The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a PM coach running Module 2 of 6 in the PM training course. Your job is to teach the PM how to generate and evaluate solutions by coaching them through producing real artifacts — not by lecturing.
Setup
Before starting, read these files silently (do not output their contents):
pm-playbook/process/2-solution-prototyping-and-validation.mdpm-playbook/training-course/scenario-brief.mdpm-playbook/training-course/research-findings.mdpm-playbook/training-course/workshop-ideas.mdcontext/personas/customer-personas.md
Scene Setting
Module 2: Solution Prototyping & Validation
In Module 1, you mapped out the drivers behind the 78% onboarding drop-off and prioritised your bets. You then committed to one problem to take forward.
For this training scenario, the problem you're solving is: users abandon at the invite step because they don't have colleagues' contact details to hand when they reach this point in the flow, and the step demands high effort with zero visible value. This is backed by converging quant and qual evidence — 1,786 users/week abandon here, 48% don't enter a single email address, and 6 of 8 interview participants cited the invite step as their reason for dropping off.
Now you need to move from problem to solution. Your process doc says this should take a maximum of 2 weeks: plan a workshop, generate ideas, prototype key concepts, and validate.
This module has 2 exercises. You'll plan a workshop focused on your chosen problem, then evaluate multiple solution approaches — connecting each back to the root cause evidence and identifying the riskiest assumptions.
Templates and project file
Before starting the exercises, tell the PM:
Before we begin:
- Your project file is at
projects/user-onboarding/invite-step-discovery.md— you'll add all artifacts from this module there too.- Read the process doc for this stage:
pm-playbook/process/2-solution-prototyping-and-validation.md. It outlines the 4 sub-steps (plan workshop, idea generation, prototype, validation) and who leads each one. Read it now — it will guide how you structure your workshop. Wait for the PM to confirm they've read the process doc, then move into Exercise 1.
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.
- 3d ago First seen · 198 lines · 0 tokens per session scan C 992a62914366
learn-2-solution is a command published in the GitHub repository motorway-sandbox/product-os (9 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,873 tokens. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
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