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 joomcode/joompulse-skills --skill high-demand-low-quality-findergit clone --depth 1 https://github.com/joomcode/joompulse-skillsWrote 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/joomcode/joompulse-skills/high-demand-low-quality-finder)<a href="https://agentmods.dev/skills/joomcode/joompulse-skills/high-demand-low-quality-finder"><img src="https://agentmods.dev/badge/skills/joomcode/joompulse-skills/high-demand-low-quality-finder/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/joomcode/joompulse-skills/high-demand-low-quality-finder"><img src="https://agentmods.dev/badge/skills/joomcode/joompulse-skills/high-demand-low-quality-finder.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00225 | $0.04036 |
| Opus 5 | $0.00112 | $0.02018 |
| Sonnet 5 | $0.00045 | $0.00807 |
| Haiku 4.5 | $0.00022 | $0.00404 |
Grade A, and why
high-demand-low-quality-finder 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 9d 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.
High-Demand, Low-Quality Finder
This skill surfaces products in one category that sell well but are poorly rated — listings with strong demand whose rating sits at or below a threshold the seller chooses — on Mercado Livre (Brasil) or Shopee Brasil, using JoomPulse market data. These are the products a seller has the best chance of beating: the demand is already proven, and a better offer can win on quality. The result is a ranked product table, ordered by estimated demand. On Mercado Livre each row links to its JoomPulse page; on Shopee each row links to the item on Shopee.
This is different from finding fresh entrants or empty niches. To find brand-new listings that are already selling in a category, use the new-and-growing-products skill. To find niches with no strong incumbents, use the uncontested-niche skill. To size up a single product and the products that compete with it, use the single-product analysis skill. This skill answers "which proven sellers in this category are weak on quality, so I can enter with a better offer?"
Prerequisites
- JoomPulse MCP access is configured for the current agent environment.
- The user provides a marketplace — Mercado Livre (Brasil) or Shopee Brasil —
plus the category (a name or a category identifier) and a rating
threshold (for example
4.0). All three are required. - The available JoomPulse tools can resolve a category and list the items in it on either marketplace, and can report, per item, the demand, rating, review count, price, and the date the item was created.
If JoomPulse MCP access is unavailable, stop and explain that the skill requires JoomPulse MCP setup before it can find opportunities.
Scope
- Mercado Livre (Brasil) and Shopee Brasil, one at a time. Other marketplaces are out of scope.
- Sales and revenue are JoomPulse estimates — not real transactions. Disclose this in every output. By contrast, price, rating, and review count are real history from the marketplace — say so, it is a strength of the report. The estimates are built differently on each marketplace: on Mercado Livre from historical listing data, on Shopee from the marketplace's own rounded sold counters refined with review movement. Use the matching disclaimer.
- Read-only. The skill does not sign in as the seller or modify any listing.
- Language: detect the seller's language and respond in it. Default to pt-BR.
- Keep the workflow invisible. The seller wants the answer, not a play-by- play. If one approach does not return data, switch to another quietly; only if every approach fails do you say one short, friendly sentence.
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.
- 9d ago First seen · 319 lines · 225 tokens per session scan A 2f9eea447f9e
high-demand-low-quality-finder is a skill published in the GitHub repository joomcode/joompulse-skills (50 stars, last pushed 19d ago), licensed MIT. It adds 225 tokens to every session and 4,036 once invoked, about $0.0011 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 2026-08-30.
Other skills, from other repositories
beat-sync-reel
Generates Instagram Reels where product image cuts are synced to audio beats. Accepts audio as a local file, URL, or search query. Uses librosa for beat detection, FFmpeg Ken Burns for scene animation, and Pillow for text overlays. No AI video generation — fully free, fast, and scalable.
ebay-search
Search eBay listings - find items, auctions, deals, and compare prices.
einbeziehung-online-clickwrap-browsewrap
Für Einbeziehung Online Clickwrap Browsewrap: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.
amazon-display-ads
Amazon Sponsored Display campaign strategy and optimization. Audience targeting, retargeting campaigns, creative optimization, and performance management. Use when the user asks about Amazon display ads, audience targeting, retargeting, or Sponsored Display campaigns.
kurzfristige-preiserhoehung-lieferfrist
Für Kurzfristige Preiserhöhung 309: prüft Frist, Form, Zuständigkeit und Eilbedarf; Ergebnis: Fristen- und Risikoampel. Fachgebiet: AGB-Recht-Prüfer. Route: kurzfristige-preiserhoehung-lieferfrist.
plattform-online-gate-rollout-rangfolge
Für Plattform und Online Checkout: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: plattform-online-gate-rollout-rangfolge.