launchfast-product-research

launchfast-product-research is a skill for Claude Code from hashgraph-online/awesome-codex-plugins. It costs 64 tokens per session (611 once invoked), scanned A, original, Apache-2.0.

An Amazon product-research workflow that scans up to ten search terms using LaunchFast. It compares sales, prices, reviews, brands, and competition, then labels each market as GO, INVESTIGATE, or PASS.

In plain words
What is it for?
Use it to research product niches, compare keyword opportunities, and assess revenue, review levels, pricing, and brand concentration.
Why use it?
It turns scattered marketplace information into a consistent comparison for deciding whether a product idea deserves more research.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions Codex.

Good fit Use it to research product niches, compare keyword opportunities, and assess revenue, review levels, pricing, and brand concentration.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hashgraph-online/awesome-codex-plugins/launchfast-product-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 hashgraph-online/awesome-codex-plugins --skill launchfast-product-research
Clone the repo
git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins

Made for: Claude Code.

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 launchfast-product-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/launchfast-product-research.svg)](https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/launchfast-product-research)
Your own site
<a href="https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/launchfast-product-research"><img src="https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/launchfast-product-research.svg" alt="Measured on agentmods" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 611 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00064 $0.00611
Opus 5 $0.00032 $0.00305
Sonnet 5 $0.00013 $0.00122
Haiku 4.5 $0.00006 $0.00061

Measured 2d ago against content hash 5988b9dafae2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

launchfast-product-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 2d 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.

plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-product-research/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LaunchFast Product Research

Use this skill for a fast, opinionated market scan across up to 10 keywords.

Inputs

If missing, ask once for:

  • keywords to research
  • optional target price band
  • optional competition tolerance

Workflow

1. Run research

  • Run research_products for each keyword.
  • Prefer parallel tool calls when researching more than one keyword.
  • Use focus="balanced" and product_limit=20 unless the user asks otherwise.

2. Extract core metrics per keyword

From the response, compute:

  • products analyzed
  • grade distribution
  • median monthly revenue
  • top product revenue
  • average or median price
  • average or median reviews
  • brand concentration
  • dominant brand

3. Score the market

Use this score out of 100:

score =
  (% of products graded B5 or better) * 30
+ (median revenue >= 8000 ? 30 : (median revenue / 8000) * 30)
+ (median reviews < 300 ? 20 : (300 / median reviews) * 20)
+ (median price between 18 and 60 ? 20 : 10)

Competition bands:

  • Low: median reviews < 200
  • Medium: median reviews 200-800
  • High: median reviews > 800

Verdicts:

  • GO: score >= 65
  • INVESTIGATE: score 40-64
  • PASS: score < 40

4. Present results

Always show:

  • a ranked summary table for all keywords
  • a short deep dive for the top 3

Use this table shape:

## Product Opportunity Scan

| Rank | Keyword | Score | Market Grade | Top Revenue | Avg Price | Competition | Verdict |
|------|---------|-------|--------------|-------------|-----------|-------------|---------|

For each top-3 keyword include:

  • products analyzed
  • grade distribution
  • revenue range
  • price range
  • review range
  • best product snapshot
  • one-sentence key insight
  • risk flags
  • verdict with 1-2 sentence rationale

Notes

  • If a keyword has missing or zero search volume, explicitly call that out.
  • If the results look too narrow or too broad, suggest the better keyword variant inline.
  • Do not force a follow-up question at the end; only recommend next actions when the result is borderline or strong enough to justify it.

Read the full file on GitHub · 103 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. 2d ago First seen · 103 lines · 64 tokens per session scan A 5988b9dafae2

Subscribe to this mod's changes

launchfast-product-research is a skill published in the GitHub repository hashgraph-online/awesome-codex-plugins (947 stars, last pushed today), licensed Apache-2.0. It adds 64 tokens to every session and 611 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 2026-09-05.

Related

Other skills, from other repositories

search

Search 2500+ curated ChatGPT and LLM open-source repositories. Use when the user asks to find tools, libraries, or repos related to ChatGPT, LLMs, RAG, agents, langchain, NLP, AI development, or any open-source AI tooling.

taishi-i/awesome-ChatGPT-repositories · 57 tokens

hunt-business-logic

Hunting skill for business logic vulnerabilities. Built from 7 public bug bounty reports. Use when hunting business logic on any target.

adriannoes/awesome-agentic-ai · 31 tokens

ecommerce-product-manager

Expert E-commerce Product Manager with deep knowledge of online retail strategy, conversion optimization, marketplace operations, and platform-specific tactics for Amazon, Shopify, and Alibaba. Use when: ecommerce-strategy, product-launch, conversion-optimization, marketplace-management, pricing-strategy.

theneoai/awesome-skills · 0 tokens

ecommerce-livestream-trainer

Expert-level E-commerce Livestream Trainer with deep knowledge of live selling techniques, platform operations (TikTok Shop, Taobao Live, JD Live), audience engagement, and sales conversion.

theneoai/awesome-skills · 43 tokens

bprr

Bulk PR reviewer for awesome-quant. Use when the user asks to review all open PRs, review unreviewed PRs, bulk review, or mentions "bprr". Reviews open PRs lacking the reviewed label and presents a summary before any merge/comment/label action.

wilsonfreitas/awesome-quant · 61 tokens

tiktok-shop-webhooks

Receive and verify TikTok Shop webhooks. Use when setting up TikTok Shop webhook handlers, debugging Authorization-header signature verification, or handling events like ORDERSTATUSCHANGE, PACKAGEUPDATE, RECIPIENTADDRESSUPDATE, PRODUCTSTATUSCHANGE, or SELLERDEAUTHORIZATION.

hookdeck/webhook-skills · 59 tokens