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-product-researchgit 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-product-research)<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>- NVIDIA SkillSpector pass
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 | $0.00064 | $0.00611 |
| Opus 5 | $0.00032 | $0.00305 |
| Sonnet 5 | $0.00013 | $0.00122 |
| Haiku 4.5 | $0.00006 | $0.00061 |
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.
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_productsfor each keyword. - Prefer parallel tool calls when researching more than one keyword.
- Use
focus="balanced"andproduct_limit=20unless 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.
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.
- 2d ago First seen · 103 lines · 64 tokens per session scan A 5988b9dafae2
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.
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