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 agentmods add skills/impactbrussels/founderos/consumer-product-testingnpx skills add impactbrussels/FounderOS --skill consumer-product-testinggit clone --depth 1 https://github.com/impactbrussels/FounderOSWrote 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/impactbrussels/founderos/consumer-product-testing)<a href="https://agentmods.dev/skills/impactbrussels/founderos/consumer-product-testing"><img src="https://agentmods.dev/badge/skills/impactbrussels/founderos/consumer-product-testing.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 | $0.00135 | $0.01218 |
| Opus 5 | $0.00068 | $0.00609 |
| Sonnet 5 | $0.00027 | $0.00244 |
| Haiku 4.5 | $0.00014 | $0.00122 |
Grade A, and why
consumer-product-testing scanned grade A with 0 findings 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 5d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Consumer Product Testing
Interviews tell you whether people have the problem. They don't tell you whether your product actually delivers - whether it works in a real kitchen, bathroom, or living room, day after day. For consumer and physical products, you have to put the thing in real hands and watch what happens. This skill picks the right test for where you are and keeps you honest about what the result proves. Proof before hype: observed behaviour beats reported intention.
The method
Built on the Founder OS scaffold. Test menu, protocols, and rules in references/testing-playbook.md.
Step 1 - Name the question for this stage
Different stages need different tests. Don't run a home-use test on an idea, or a concept test on a finished product.
| Stage | Question | Test |
|---|---|---|
| Concept | "Do they want this idea of a product?" | Concept test (description/mockup + intent + price reaction) |
| Prototype | "Does the thing work and perform?" | Prototype / functional test; sensory test if tasted/smelled/felt |
| Pre-launch | "Does it hold up in real use over time?" | Home-Use Test (HUT) or Central Location Test (CLT) |
| Claims/shelf | "Can I prove the claim / does it sell on shelf?" | Claims substantiation, A/B pack & shelf tests |
Step 2 - Recruit the right people, the right number
Test with the [ICP], not friends and family (they're kind, not honest). Screen for the real target. Small qualitative rounds (5-8) surface usability problems fast; quantitative reads (liking, preference, claims) need larger target-consumer samples (see references). State which you're running.
Step 3 - Observe behaviour, not just opinions
Watch them actually use it. Where do they hesitate, misuse it, give up? Capture: did it work,
did they finish, would they use it again, did they come back unprompted. For anything tasted,
smelled, or applied → run a blind, benchmarked sensory-testing session; don't rely on "I
like it." Reported intent is weak evidence; repeat use and willingness to pay are strong.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 88 lines · 0 tokens per session scan A 360c1dac47b4
consumer-product-testing is a skill published in the GitHub repository impactbrussels/FounderOS (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 135 tokens to every session and 1,218 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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