AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
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 sickn33/agentic-awesome-skills --skill apify-market-researchgit clone --depth 1 https://github.com/sickn33/agentic-awesome-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/sickn33/agentic-awesome-skills/apify-market-research)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/apify-market-research"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/apify-market-research/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/sickn33/agentic-awesome-skills/apify-market-research"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/apify-market-research.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 | $0.00036 | $0.01354 |
| Opus 5.5 | $0.00014 | $0.00542 |
| Sonnet 5.5 | $0.00007 | $0.00271 |
| Haiku 4.5 | $0.00004 | $0.00135 |
Grade A, and why
apify-market-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.
Copies of this mod
8 near-identical copies found in the catalogue:
- apify-market-research — 100% identical, 34 lines differ
- apify-market-research — 100% identical, 33 lines differ
- apify-market-research — 98% identical, 36 lines differ
- apify-market-research — 98% identical, 36 lines differ
- apify-market-research — 98% identical, 36 lines differ
- apify-market-research — 98% identical, 36 lines differ
- apify-market-research — 98% identical, 36 lines differ
- apify-market-research — 94% identical, 46 lines differ
How it starts
The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Research
Conduct market research using Apify Actors to extract data from multiple platforms.
When to Use
- You need market sizing, regional demand, pricing, trend, or consumer behavior data.
- The task is to gather research inputs from maps, travel, Facebook, Instagram, or trend sources with Apify.
- You need structured market data plus a synthesized view of opportunities or risks.
Prerequisites
Verify prerequisites before any paid run.
.envfile withAPIFY_TOKEN- Node.js 20.6+ (for native
--env-filesupport) - An approved Apify connector or Console access to inspect the chosen Actor and its schema; the bundled runner uses REST directly.
- Keep
.envuntracked and private; configure the token locally without pasting it into chat or command arguments.
Workflow
Copy this checklist and track progress:
Task Progress:
- [ ] Step 1: Identify market research type (select Actor)
- [ ] Step 2: Fetch Actor schema via an approved connector or Console
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the analysis script
- [ ] Step 5: Summarize findings
Step 1: Identify Market Research Type
Select the appropriate Actor based on research needs:
| User Need | Actor ID | Best For |
|---|---|---|
| Market density | compass/crawler-google-places |
Location analysis |
| Geospatial analysis | compass/google-maps-extractor |
Business mapping |
| Regional interest | apify/google-trends-scraper |
Trend data |
| Pricing and demand | apify/facebook-marketplace-scraper |
Market pricing |
| Event market | apify/facebook-events-scraper |
Event analysis |
| Consumer needs | apify/facebook-groups-scraper |
Group research |
| Market landscape | apify/facebook-pages-scraper |
Business pages |
| Business density | apify/facebook-page-contact-information |
Contact data |
| Cultural insights | apify/facebook-photos-scraper |
Visual research |
| Niche targeting | apify/instagram-hashtag-scraper |
Hashtag research |
| Hashtag stats | apify/instagram-hashtag-stats |
Market sizing |
| Market activity | apify/instagram-reel-scraper |
Activity analysis |
| Market intelligence | apify/instagram-scraper |
Full data |
| Product launch research | apify/instagram-api-scraper |
API access |
| Hospitality market | voyager/booking-scraper |
Hotel data |
| Tourism insights | maxcopell/tripadvisor-reviews |
Review analysis |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed · -1 lines 292cdd63d538
- 5d ago Changed cc41183c2427
- 1mo ago Changed · +1 lines 87c434bc151e
- 1mo ago First seen · 131 lines · 36 tokens per session scan A 81f8ebfa95cb
apify-market-research is a skill published in the GitHub repository sickn33/agentic-awesome-skills (48,548 stars, last pushed 3d ago), licensed MIT. It adds 36 tokens to every session and 1,354 once invoked, about $0.0001 per session on Opus 5.5. 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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