expo-launchpad-research

expo-launchpad-research is a skill for Claude Code from SummerRiversound/expo-launchpad. It costs 62 tokens per session (3,659 once invoked), scanned A, original, MIT.

A research step in an Expo app-building process, where Expo is a framework for making mobile apps. It studies the market, proposes app or game concepts, checks for store-copying risks, and writes a research specification.

In plain words
What is it for?
It is for researching app or game categories, comparing competitors or genres, selecting a concept, and documenting the result.
Why use it?
It structures early product research before development and helps identify concepts that may be too similar to existing store listings.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Part of the expo-launchpad plugin — 9 skills shipped together

Good fit It is for researching app or game categories, comparing competitors or genres, selecting a concept, and documenting the result.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/summerriversound/expo-launchpad/expo-launchpad-research
Install

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.

Any agent
npx skills add SummerRiversound/expo-launchpad --skill expo-launchpad-research
Clone the repo
git clone --depth 1 https://github.com/SummerRiversound/expo-launchpad

Made for: Claude Code.

Or install expo-launchpad, the plugin that ships this one along with the rest of its 9 skills.

Wrote 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.

agentmods badge for expo-launchpad-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/summerriversound/expo-launchpad/expo-launchpad-research/github.svg)](https://agentmods.dev/skills/summerriversound/expo-launchpad/expo-launchpad-research)
Your own site
<a href="https://agentmods.dev/skills/summerriversound/expo-launchpad/expo-launchpad-research"><img src="https://agentmods.dev/badge/skills/summerriversound/expo-launchpad/expo-launchpad-research/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.

agentmods 80×15 button for expo-launchpad-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/summerriversound/expo-launchpad/expo-launchpad-research"><img src="https://agentmods.dev/badge/skills/summerriversound/expo-launchpad/expo-launchpad-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,659 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00062 $0.03659
Opus 5 $0.00031 $0.01829
Sonnet 5 $0.00012 $0.00732
Haiku 4.5 $0.00006 $0.00366

Measured 11d ago against content hash 769ccc1d9c3c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

expo-launchpad-research 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 11d 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.

skills/expo-launchpad-research/SKILL.md · 319 lines

How it starts

The opening of the file, as written. The whole thing — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.

expo-launchpad-research

Phase A, step 1 of the expo-launchpad pipeline. Reads the user's raw idea from config.md, performs kind-aware market research if needed, proposes 2-3 concrete concepts, queries the user via AskUserQuestion to pick one, runs a store clone-avoidance check on the choice, then writes the research spec and advances the pipeline state.

All file schemas (config.md, state.md, pipeline-log.md) are defined in docs/harness-protocol.md — refer to that document as the single source of truth. Do not redefine schemas here.


Input

Read docs/harness/config.md and extract:

  • app_idea — the raw one-line pitch supplied by the user (may be blank, in which case Discovery and "Propose & query" generate concepts from scratch).
  • kindgame or app. Drives which Discovery/Propose branch runs (see below).
  • skip_research — boolean. If true, treat app_idea as the chosen concept verbatim and skip Discovery and "Propose & query" entirely. Jump directly to Clone avoidance, then Output. Even when skipping discovery you must still write the research spec.
  • auto_idea — boolean (default false). When true, "Propose & query" and "Clone avoidance" auto-decide instead of calling AskUserQuestion: the skill scores its own generated concepts, selects the best, and auto-revises any clone — running fully hands-off. Under skip_research: true, auto_idea has no effect on concept selection (the idea is taken verbatim — there is nothing to score or select), but it still governs Clone avoidance: it determines whether a detected clone is auto-revised or surfaced to the user via AskUserQuestion, exactly as it would with Discovery enabled.
  • default_language — the concepts, spec prose, and every section of the research spec produced in Output are written in this language. This SKILL.md's own prose stays English; only the generated project artifacts follow default_language.

If config.md does not exist, abort with: expo-launchpad-research: docs/harness/config.md not found — run the orchestrator to bootstrap first.

Read the full file on GitHub · 319 lines

Changes

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.

  1. 11d ago First seen · 319 lines · 62 tokens per session scan A 769ccc1d9c3c

Subscribe to this mod's changes

expo-launchpad-research is a skill published in the GitHub repository SummerRiversound/expo-launchpad (2 stars, last pushed 1mo ago), licensed MIT. It adds 62 tokens to every session and 3,659 once invoked, about $0.0003 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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