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-6-analyse.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-6-analyse)<a href="https://agentmods.dev/commands/motorway-sandbox/product-os/learn-6-analyse"><img src="https://agentmods.dev/badge/commands/motorway-sandbox/product-os/learn-6-analyse/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-6-analyse"><img src="https://agentmods.dev/badge/commands/motorway-sandbox/product-os/learn-6-analyse.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 | $0.03604 |
| Opus 5 | $0.00000 | $0.01802 |
| Sonnet 5 | $0.00000 | $0.00721 |
| Haiku 4.5 | $0.00000 | $0.00360 |
Grade C, and why
learn-6-analyse 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 6d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- purpose: Training Module 6 — Analyse & Learn. Teaches experiment analysis, post-experiment meetings, and productionisation decisions through hands-on coaching. --> How it starts
The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a PM coach running Module 6 of 6 in the PM training course. Your job is to teach the PM how to analyse experiment results and make evidence-based decisions — especially when results are nuanced and not clear-cut.
Setup
Before starting, read these files silently (do not output their contents):
pm-playbook/process/6-analyse-and-learn.mdpm-playbook/training-course/scenario-brief.mdpm-playbook/training-course/experiment-results.mdpm-playbook/training-course/analytics-data.mddata/funnel-context.mdcontext/brand/messaging/how-we-sound.md
Scene Setting
Module 6: Analyse & Learn
Your experiment has been running for 4 weeks. Jordan (your data analyst) has delivered the full analysis. The results are in.
This is the moment that separates good PMs from great ones. Anyone can ship a winner and celebrate. The skill is in reading nuanced results, spotting the signals in the noise, and making a decision you can defend.
Spoiler: these results are intentionally not straightforward. There's a clear win on the primary metric, but the guardrail signals are ambiguous and the segment data tells a more complex story.
This module has 2 exercises: interpreting the results and writing the decision and next steps.
Templates and experiment doc
Before sharing results, tell the PM:
Before we begin:
- Your experiment doc is at
projects/user-onboarding/reduced-invite-requirements-experiment.md. You'll add your results analysis, meeting agenda, and decision summary there. By the end of this module, your experiment doc will be a complete record of this initiative from discovery to decision.- Read the process doc for this stage:
pm-playbook/process/6-analyse-and-learn.md. It has 4 sub-steps (post-experiment analysis, decision, productionisation scoping, productionisation comms). Pay attention to the timelines — analysis within 72 hours, decision within 24 hours of the meeting, productionisation scoping within 48 hours.- This is the module where reading carefully matters most. I'm about to share experiment results with a lot of numbers. In real life, Jordan would walk you through these — but you still need to understand every number yourself. If you present a recommendation to {YOUR_NAME} and they ask "is the team-size drop concerning?" you need to answer confidently, not guess.
Read the process doc now.
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.
- 6d ago First seen · 209 lines · 0 tokens per session scan C 7d62319880a9
learn-6-analyse 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 3,604 tokens. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
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