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/prototype.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/prototype)<a href="https://agentmods.dev/commands/motorway-sandbox/product-os/prototype"><img src="https://agentmods.dev/badge/commands/motorway-sandbox/product-os/prototype.svg" alt="Measured on agentmods" 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 | $0.02489 |
| Opus 5 | $0.00000 | $0.01244 |
| Sonnet 5 | $0.00000 | $0.00498 |
| Haiku 4.5 | $0.00000 | $0.00249 |
Grade C, and why
prototype 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 2d 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: Solution prototyping: generate structurally different concepts from a hypothesis, run psych audit and persona fit, get early panel signal, produce comparison and recommendation --> How it starts
The opening of the file, as written. The whole thing — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prototype
Generate and validate solution concepts for a prioritised opportunity or hypothesis.
Input: $ARGUMENTS
This command covers PM playbook Stage 2: Solution Prototyping & Validation. It takes the output of discovery (a hypothesis or opportunity) and produces tested solution concepts ready for experiment design.
Important: Run the full prototype process in one pass. Pause only at the final step for user feedback.
Step 0: Load context
-
Parse the input. The user should provide one of:
- A hypothesis in IF/THEN/BECAUSE format
- A path to an investigation output or opportunity summary
- A description of the opportunity to prototype against
-
Read supporting context:
data/funnel-context.md— metric definitions, funnel baselinescontext/current-priorities.md— strategic alignmentcontext/personas/customer-personas.mdandcontext/personas/partner-personas.md— priority personascontext/brand/messaging/— brand voice and terminology constraints
-
Check for prior work:
- Search
projects/for existing experiment docs on this topic - Search
insights/for relevant UXR studies, CX analysis, and review data - Read agent memory files if available:
team/{initials}/agents/memory/product-manager.md,team/{initials}/agents/memory/uxr.md
- Search
-
Extract the core problem. Before generating solutions, clearly state:
- The user problem: What pain point are we solving? For which personas?
- The business problem: What metric are we trying to move? By how much?
- The mechanism: Why does this problem exist? What's the root cause?
- The constraint: What must we NOT break? (guardrail metrics)
If the input doesn't contain enough information to define these, state what's missing and ask.
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.
- 2d ago First seen · 233 lines · 0 tokens per session scan C 1b464ab068c3
prototype 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 2,489 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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