launchfast-full-research-loop

launchfast-full-research-loop is a skill for Claude Code from hashgraph-online/awesome-codex-plugins. It costs 69 tokens per session (608 once invoked), scanned A, original, Apache-2.0.

An end-to-end research workflow for Amazon FBA, a business model where products are sold on Amazon and stored and shipped through Amazon. It combines product, intellectual-property, supplier, and advertising-keyword research through LaunchFast.

In plain words
What is it for?
Use it to compare product keywords, check possible trademark or patent conflicts, research suppliers and minimum order quantities, and investigate Amazon PPC keywords. PPC means paid advertising shown in search results.
Why use it?
It brings several checks into one report so a product idea can be assessed before ordering stock or spending on advertising. The report can show competition, trademark or patent concerns, supplier details, and keyword opportunities.

Skill for Claude Code

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

Good fit Use it to compare product keywords, check possible trademark or patent conflicts…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hashgraph-online/awesome-codex-plugins/launchfast-full-research-loop
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-full-research-loop
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-full-research-loop

README.md
[![agentmods](https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/launchfast-full-research-loop.svg)](https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/launchfast-full-research-loop)
Your own site
<a href="https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/launchfast-full-research-loop"><img src="https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/launchfast-full-research-loop.svg" alt="Measured on agentmods" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 608 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 $0.00069 $0.00608
Opus 5 $0.00034 $0.00304
Sonnet 5 $0.00014 $0.00122
Haiku 4.5 $0.00007 $0.00061

Measured yesterday against content hash b617631d6437, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

launchfast-full-research-loop 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 yesterday.

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-full-research-loop/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LaunchFast Full Research Loop

Inputs

If needed, ask once for:

  • keyword or keyword list
  • target selling price
  • first order quantity
  • optional competitor ASINs
  • optional report path

Default report path:

./artifacts/launchfast/reports/launchfast-report-[keyword]-[YYYY-MM-DD].html

Workflow

1. Product research

  • Run research_products for each keyword with focus="balanced" and product_limit=20.
  • Score each keyword using the same logic as launchfast-product-research.
  • Pick winners for deeper analysis.

2. IP check

For promising keywords, run:

ip_check_manage(action="ip_conflict_check", keyword="<keyword>")
ip_check_manage(action="trademark_search", keyword="<keyword>")

Extract:

  • conflict level
  • notable active marks
  • patent concerns if present
  • final risk posture: CLEAR, CAUTION, or BLOCKED

3. Supplier research

For the strongest keyword, run:

supplier_research(keyword="<keyword>", goldSupplierOnly=true, tradeAssuranceOnly=true, maxResults=10)

Summarize the top suppliers with:

  • company name
  • quality score
  • price band
  • MOQ
  • years in business
  • trust signals

4. PPC research

If you have competitor ASINs, or can responsibly infer 2-3 strong ASINs from product research, run:

amazon_keyword_research(asins=[...], limit=20)

Summarize:

  • keyword count
  • top search-volume terms
  • high-intent terms by purchase rate
  • indicative CPCs
  • suggested campaign structure

If there are no usable ASINs, state that this phase was skipped.

5. Build the report

Create a standalone HTML report with:

  • executive verdict banner
  • market scorecard
  • product findings
  • IP findings
  • supplier findings
  • PPC findings
  • concise recommendation section

Design should match the existing LaunchFast visual language:

  • clean light theme
  • neutral palette
  • card layout
  • compact tables
  • clear GO / INVESTIGATE / PASS styling

Write the file to the requested path and report the final file location.

Read the full file on GitHub · 120 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. yesterday First seen · 120 lines · 69 tokens per session scan A b617631d6437

Subscribe to this mod's changes

launchfast-full-research-loop is a skill published in the GitHub repository hashgraph-online/awesome-codex-plugins (935 stars, last pushed today), licensed Apache-2.0. It adds 69 tokens to every session and 608 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.

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