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
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add sickn33/agentic-awesome-skills/plugin install 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-ultimate-scraper)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/apify-ultimate-scraper"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/apify-ultimate-scraper/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-ultimate-scraper"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/apify-ultimate-scraper.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 | $0.00033 | $0.02893 |
| Opus 5 | $0.00016 | $0.01447 |
| Sonnet 5 | $0.00007 | $0.00579 |
| Haiku 4.5 | $0.00003 | $0.00289 |
Grade A, and why
apify-ultimate-scraper 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 3d 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-ultimate-scraper — 100% identical, 1 lines differ
- apify-ultimate-scraper — 100% identical, 1 lines differ
- apify-ultimate-scraper — 92% identical, 21 lines differ
- apify-ultimate-scraper — 92% identical, 21 lines differ
- apify-ultimate-scraper — 92% identical, 21 lines differ
- apify-ultimate-scraper — 92% identical, 22 lines differ
- apify-ultimate-scraper — 92% identical, 21 lines differ
- apify-ultimate-scraper — 92% identical, 21 lines differ
How it starts
The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Universal Web Scraper
AI-driven data extraction from 55+ Actors across all major platforms. This skill automatically selects the best Actor for your task.
When to Use
- The user needs web data extraction but has not yet chosen a specific Apify Actor.
- You need a general-purpose Apify entry point that maps a broad scraping goal to the most suitable Actor.
- The task spans multiple platforms and benefits from one unified workflow for actor selection, execution, and summarization.
Prerequisites
(No need to check it upfront)
.envfile withAPIFY_TOKEN- Node.js 20.6+ (for native
--env-filesupport) mcpcCLI tool:npm install -g @apify/mcpc
Workflow
Copy this checklist and track progress:
Task Progress:
- [ ] Step 1: Understand user goal and select Actor
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the scraper script
- [ ] Step 5: Summarize results and offer follow-ups
Step 1: Understand User Goal and Select Actor
First, understand what the user wants to achieve. Then select the best Actor from the options below.
Instagram Actors (12)
| Actor ID | Best For |
|---|---|
apify/instagram-profile-scraper |
Profile data, follower counts, bio info |
apify/instagram-post-scraper |
Individual post details, engagement metrics |
apify/instagram-comment-scraper |
Comment extraction, sentiment analysis |
apify/instagram-hashtag-scraper |
Hashtag content, trending topics |
apify/instagram-hashtag-stats |
Hashtag performance metrics |
apify/instagram-reel-scraper |
Reels content and metrics |
apify/instagram-search-scraper |
Search users, places, hashtags |
apify/instagram-tagged-scraper |
Posts tagged with specific accounts |
apify/instagram-followers-count-scraper |
Follower count tracking |
apify/instagram-scraper |
Comprehensive Instagram data |
apify/instagram-api-scraper |
API-based Instagram access |
apify/export-instagram-comments-posts |
Bulk comment/post export |
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.
- 3d ago Changed · +1 lines c4a766e8fe5e
- 5d ago First seen · 256 lines · 33 tokens per session scan A 2461adc13a37
apify-ultimate-scraper is a skill published in the GitHub repository sickn33/agentic-awesome-skills (46,230 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 2,893 once invoked, about $0.0002 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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