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 skills add SummerRiversound/expo-launchpad --skill expo-launchpad-researchgit clone --depth 1 https://github.com/SummerRiversound/expo-launchpadWrote 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/summerriversound/expo-launchpad/expo-launchpad-research)<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.
<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>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 | $0.00062 | $0.03659 |
| Opus 5.5 | $0.00025 | $0.01464 |
| Sonnet 5.5 | $0.00012 | $0.00732 |
| Haiku 4.5 | $0.00006 | $0.00366 |
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 2mo 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 — 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).kind—gameorapp. Drives which Discovery/Propose branch runs (see below).skip_research— boolean. Iftrue, treatapp_ideaas 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 (defaultfalse). Whentrue, "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. Underskip_research: true,auto_ideahas 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 followdefault_language.
If config.md does not exist, abort with:
expo-launchpad-research: docs/harness/config.md not found — run the orchestrator to bootstrap first.
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.
- 2mo ago First seen · 319 lines · 62 tokens per session scan A 769ccc1d9c3c
expo-launchpad-research is a skill published in the GitHub repository SummerRiversound/expo-launchpad (2 stars, last pushed 12d ago), licensed MIT. It adds 62 tokens to every session and 3,659 once invoked, about $0.0002 per session on Opus 5.5. 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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