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 khadinakbarlabs/shopify-app-builder --skill app-niche-findergit clone --depth 1 https://github.com/khadinakbarlabs/shopify-app-builderWrote 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/khadinakbarlabs/shopify-app-builder/app-niche-finder)<a href="https://agentmods.dev/skills/khadinakbarlabs/shopify-app-builder/app-niche-finder"><img src="https://agentmods.dev/badge/skills/khadinakbarlabs/shopify-app-builder/app-niche-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/khadinakbarlabs/shopify-app-builder/app-niche-finder"><img src="https://agentmods.dev/badge/skills/khadinakbarlabs/shopify-app-builder/app-niche-finder.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00113 | $0.03581 |
| Opus 5 | $0.00056 | $0.01791 |
| Sonnet 5 | $0.00023 | $0.00716 |
| Haiku 4.5 | $0.00011 | $0.00358 |
Grade A, and why
app-niche-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 11d 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 — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to Use This Skill
Call this when:
- Finding a problem to solve: Merchant identifies pain in own store, needs to verify market viability
- Validating category fit: Founder has app idea, wants to assess competition density
- Generating ideas from scratch: Founder has skills but no clear problem direction
- Competitive analysis: App exists, needs to understand gap analysis before building
Do NOT use this if:
- You're building in oversaturated categories (email, basic pop-ups, product reviews)
- The idea requires deep ML infrastructure one founder can't handle
- Shopify is likely to ship natively (Shopify's roadmap moves fast)
The 3-Step Gap-Finding Framework
Step 1: Low-App-Count Category Search Shopify App Store for the problem category. Count competitors doing similar thing well.
- Tier 1 opportunity: 0-3 real competitors (established, but not saturated)
- Tier 2 opportunity: 4-6 competitors (some fragmentation, room for differentiation)
- Red flag: 8+ competitors all with 4.5+ rating (category is won)
Step 2: High-Merchant-Pain Signal Find evidence merchants actively complain about this problem.
- App Store reviews: Low-star reviews on competitor apps (what's missing?)
- Reddit r/shopify: Search for problem keyword, count complaint posts
- Shopify Community: Same search—frequency of "how do I fix this?" posts
- Twitter merchant complaints: Search "Shopify [problem]" + filter recent
- Built for Shopify gaps: Check what gaps exist in official Shopify integrations
Step 3: Buildable-by-One-Person Can a solo founder build this in 4 weeks to MVP?
- Yes: Webhook-based tools, dashboard apps, simple automations
- Maybe: Requires API integration learning curve (Stripe, Twilio, etc.)
- No: ML models, real-time data processing, complex 3rd-party orchestration
Demand Signals to Scrape
App Store Low-Rating Reviews (High-intent feedback) Look at competitor apps with 3.0-4.0 star ratings. Read 1-star and 2-star reviews.
- Extract complaint phrases: "I wish it had...", "Missing feature:", "Doesn't work with..."
- Tally recurring complaints (if 5+ reviews mention the same gap, that's a real gap)
- Example gap: "Post-purchase page builder—everyone mentions lack of email capture"
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.
- 11d ago First seen · 291 lines · 113 tokens per session scan A 2adc18b4651b
app-niche-finder is a skill published in the GitHub repository khadinakbarlabs/shopify-app-builder (1 stars, last pushed 1mo ago), licensed MIT. It adds 113 tokens to every session and 3,581 once invoked, about $0.0006 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 2026-08-31.
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