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-lead-generation)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/apify-lead-generation"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/apify-lead-generation/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-lead-generation"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/apify-lead-generation.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 | $0.00017 | $0.01231 |
| Opus 5 | $0.00009 | $0.00616 |
| Sonnet 5 | $0.00003 | $0.00246 |
| Haiku 4.5 | $0.00002 | $0.00123 |
Grade A, and why
apify-lead-generation 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 4d 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.
This is a copy
84% identical to apify-competitor-intelligence — 77 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lead Generation
Scrape leads from multiple platforms using Apify Actors.
When to Use
- You need business, creator, or contact leads from maps, search, social, or video platforms.
- The task involves selecting an Apify Actor to discover prospects and extract outreach data.
- You need exported lead data plus a concise summary of lead quality or segmentation.
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: Determine lead source (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the lead finder script
- [ ] Step 5: Summarize results
Step 1: Determine Lead Source
Select the appropriate Actor based on user needs:
| User Need | Actor ID | Best For |
|---|---|---|
| Local businesses | compass/crawler-google-places |
Restaurants, gyms, shops |
| Contact enrichment | vdrmota/contact-info-scraper |
Emails, phones from URLs |
| Instagram profiles | apify/instagram-profile-scraper |
Influencer discovery |
| Instagram posts/comments | apify/instagram-scraper |
Posts, comments, hashtags, places |
| Instagram search | apify/instagram-search-scraper |
Places, users, hashtags discovery |
| TikTok videos/hashtags | clockworks/tiktok-scraper |
Comprehensive TikTok data extraction |
| TikTok hashtags/profiles | clockworks/free-tiktok-scraper |
Free TikTok data extractor |
| TikTok user search | clockworks/tiktok-user-search-scraper |
Find users by keywords |
| TikTok profiles | clockworks/tiktok-profile-scraper |
Creator outreach |
| TikTok followers/following | clockworks/tiktok-followers-scraper |
Audience analysis, segmentation |
| Facebook pages | apify/facebook-pages-scraper |
Business contacts |
| Facebook page contacts | apify/facebook-page-contact-information |
Extract emails, phones, addresses |
| Facebook groups | apify/facebook-groups-scraper |
Buying intent signals |
| Facebook events | apify/facebook-events-scraper |
Event networking, partnerships |
| Google Search | apify/google-search-scraper |
Broad lead discovery |
| YouTube channels | streamers/youtube-scraper |
Creator partnerships |
| Google Maps emails | poidata/google-maps-email-extractor |
Direct email extraction |
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.
- 4d ago Changed · +1 lines be82873582cd
- 6d ago First seen · 132 lines · 17 tokens per session scan A 99857ef88ba0
apify-lead-generation is a skill published in the GitHub repository sickn33/agentic-awesome-skills (46,230 stars, last pushed yesterday), licensed MIT. It adds 17 tokens to every session and 1,231 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to apify-competitor-intelligence, differing in 77 lines, and is treated as a copy.
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