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-launch-operatornpx skills add MartinPuli/createAnApp --skill app-launch-operatorgit 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-launch-operator)<a href="https://agentmods.dev/skills/martinpuli/createanapp/app-launch-operator"><img src="https://agentmods.dev/badge/skills/martinpuli/createanapp/app-launch-operator.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 | $0.00076 | $0.00760 |
| Opus 5 | $0.00038 | $0.00380 |
| Sonnet 5 | $0.00015 | $0.00152 |
| Haiku 4.5 | $0.00008 | $0.00076 |
Grade A, and why
app-launch-operator 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 4d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
App Launch Operator
Turn approval into a controlled distribution experiment. Do not equate downloads, one purchase, or App Store approval with product-market fit.
Verify launch prerequisites
Confirm storefront availability/release state, working commerce, support coverage, public privacy/terms/support pages, product analytics source, campaign attribution, crash/incident response, rollback path, budget authorization, and policy-safe creative provenance.
Do not install tracking merely to optimize ads without reopening $app-compliance-auditor and updating disclosures/consent/labels.
Choose a beachhead
Define one target segment, painful job, purchase moment, territory, promise, proof, and primary channel. Select channels by buyer behavior rather than fashion. Favor high-intent search, niche communities, tutorials, creators, partners, and Apple product pages that match the job.
Build truthful assets
Create a hook, real app demonstration, proof, objection answer, and CTA. Use captured release UI rather than AI-generated fake screens. AI may assist production, but never fabricate a customer, testimonial, review, creator endorsement, expert, revenue, result, or scarcity. Preserve source/license/AI/approval records.
Read references/creative-and-presence.md when establishing the domain, support email, social profiles, short-form videos, or AI-assisted creative pipeline.
Instrument attribution
Use App Store campaign links and Custom Product Pages where useful. Define naming conventions for channel, audience, creative, promise, and date. Use App Analytics/Sales/Subscriptions as the source of truth when no declared first-party telemetry exists.
Measure the funnel:
- impression or qualified reach;
- product-page view;
- download;
- first launch;
- core-job activation;
- paywall view;
- trial/purchase;
- renewal/retention;
- refund/cancellation/support burden;
- proceeds and contribution after fees/spend.
Use App Store Connect Analytics definitions and account for usage-data opt-in/privacy thresholds. Compare channels on retained paying cohorts and contribution, not download volume alone.
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.
- 4d ago First seen · 62 lines · 76 tokens per session scan A 1b72f760db2d
app-launch-operator is a skill published in the GitHub repository MartinPuli/createAnApp (14 stars, last pushed 14d ago), licensed MIT. It adds 76 tokens to every session and 760 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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