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/martinpuli/createanapp/app-idea-validatornpx skills add MartinPuli/createAnApp --skill app-idea-validatorgit clone --depth 1 https://github.com/MartinPuli/createAnAppWrote 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/martinpuli/createanapp/app-idea-validator)<a href="https://agentmods.dev/skills/martinpuli/createanapp/app-idea-validator"><img src="https://agentmods.dev/badge/skills/martinpuli/createanapp/app-idea-validator.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 | $0.00082 | $0.00852 |
| Opus 5 | $0.00041 | $0.00426 |
| Sonnet 5 | $0.00016 | $0.00170 |
| Haiku 4.5 | $0.00008 | $0.00085 |
Grade A, and why
app-idea-validator 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
App Idea Validator
Test one supplied product hypothesis against current evidence and behavior. Separate interest, activation, payment, retention, and product-market fit. A score or favorable report is not validation.
Freeze the hypothesis being tested
Record without silently changing it:
- target user and buyer;
- painful job and use context;
- promised outcome;
- proposed Apple device/platform advantage;
- current alternative;
- monetization and price hypothesis;
- initial territory and acquisition channel;
- user constraints and non-negotiables.
If a component is missing, state the minimum assumption needed to test it. If evidence later contradicts the idea, return a failed or conditional verdict rather than substituting another idea. Use $app-market-discovery only if the user asks for alternatives.
Run desk validation
Use dated, direct evidence:
- App Store competitors/substitutes, pricing, subscriptions, ratings, review complaints, screenshots, update cadence, and territory;
- competitor websites, help centers, changelogs, and public pricing;
- search intent, forums, communities, procurement behavior, and recurring complaint language;
- credible category data and current Apple platform changes;
- reachable distribution channels and their likely economics;
- safety, privacy, moderation, regulatory, and App Review risks.
Create a source ledger distinguishing observation from inference. Search adversarially for free incumbents, platform bundling, recent entrants, low frequency, weak switching, high CAC, refund/churn risk, human-service burden, and claims liability.
Test the business assumptions
Evaluate:
- urgency and measurable value;
- evidence of willingness to pay at the proposed price;
- why users would switch now;
- recurrence and retention mechanism;
- addressable and reachable beachhead, not only total market size;
- channel-to-price economics;
- whether Apple hardware materially improves the job;
- feasibility of delivering every promised outcome;
- risks that make the model non-operable.
What ships with it
3 files 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 · 90 lines · 82 tokens per session scan A 7b2b90dea1c7
app-idea-validator is a skill published in the GitHub repository MartinPuli/createAnApp (14 stars, last pushed 15d ago), licensed MIT. It adds 82 tokens to every session and 852 once invoked, about $0.0004 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 2026-08-30.
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