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 hashgraph-online/awesome-codex-plugins --skill launchfast-full-research-loopgit clone --depth 1 https://github.com/hashgraph-online/awesome-codex-pluginsWrote 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/hashgraph-online/awesome-codex-plugins/launchfast-full-research-loop)<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>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 | $0.00069 | $0.00608 |
| Opus 5 | $0.00034 | $0.00304 |
| Sonnet 5 | $0.00014 | $0.00122 |
| Haiku 4.5 | $0.00007 | $0.00061 |
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.
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_productsfor each keyword withfocus="balanced"andproduct_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.
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.
- yesterday First seen · 120 lines · 69 tokens per session scan A b617631d6437
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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