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-linkedin-jobs-scrapergit 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-linkedin-jobs-scraper)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/apify-linkedin-jobs-scraper"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/apify-linkedin-jobs-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-linkedin-jobs-scraper"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/apify-linkedin-jobs-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 | $0.00048 | $0.02784 |
| Opus 5.5 | $0.00019 | $0.01114 |
| Sonnet 5.5 | $0.00010 | $0.00557 |
| Haiku 4.5 | $0.00005 | $0.00278 |
Grade A, and why
apify-linkedin-jobs-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 today.
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
1 near-identical copy found in the catalogue:
- apify-linkedin-jobs-scraper — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Jobs Scraper
Turn a job-market question into one run of harshmaur/linkedin-jobs-scraper and return one row per job. A single Actor covers keyword search, pasted search URLs, company enrichment and searches past LinkedIn's limit of about 1,000 results. The work is to pick the right input fields and to keep the job count in budget.
Disclosure: the Actor is paid per result and is built by the skill author. Links carry no affiliate parameters.
When to Use
Use for LinkedIn job searches, salary comparisons, hiring research and job-board exports.
Example prompts
Prompts this skill handles:
- "Find product manager jobs in London from the last 24 hours."
- "Export 500 remote React developer jobs in the US with salary and company size."
- "Which companies in Germany posted data engineer jobs this week? Give me the recruiter when there is one."
- "Scrape this LinkedIn search: https://www.linkedin.com/jobs/search/?keywords=devops&location=Canada&f_TPR=r604800"
Out of scope (the boundary):
- "Apply to these jobs for me" or "message the recruiter" — the Actor only reads public job pages.
- "Scrape these LinkedIn profiles" or "find people who work at X" — this Actor returns jobs, not people. Use a profile Actor from the Apify Store.
Prerequisites
- Apify account (sign up). The free plan's monthly credit covers a few thousand jobs.
- Authentication via one of:
apify login(OAuth, if you use the Apify CLI)APIFY_TOKENenvironment variable- Token from Apify Console → Settings → Integrations
- Apify CLI (
npm install -g apify-cli), or the Apify MCP server (see "Calling the Actor").
Workflow
Step 1 — Map the request to input fields
| The user gives you | Field | Notes |
|---|---|---|
| A job title, skill or role | keywords |
Short words work best: "data engineer", not a sentence. |
| A city, country or "remote" | location |
Free text as LinkedIn takes it: "Berlin", "United States", "Remote". |
| "today", "this week", "this month" | datePosted |
"1" (24 h), "7", "30". This is an exact filter. Use it for fresh jobs and alerts. |
| remote, hybrid, on-site | workplaceType |
remote, hybrid, on-site. Not exact (see Gotchas). |
| full-time, contract, internship | jobType |
full-time, part-time, contract, temporary, internship. Not exact. |
| junior, senior, director | experienceLevel |
internship, entry, associate, mid-senior, director, executive. Not exact. |
| A LinkedIn job search URL | startUrls |
[{"url": "..."}]. Search URLs only (/jobs/search/?...). The URL keeps its own filters, including company (f_C), Easy Apply (f_AL) and under 10 applicants (f_EA). The form filters above do not apply to it. |
| "how many" | maxItems |
One total for the whole run, shared by every search. Default 50. 0 means no limit: never send 0 without a cost check. |
| company size, website, headquarters | scrapeCompany: true |
No extra charge. |
| only the list, fast | scrapeDetails: false |
Search-card fields only: title, company, location, date, logo, URL. No description, salary or recruiter. |
| more than about 1,000 jobs for one search | splitByLocation: true + splitCountry |
Runs the search in each large city of the country and removes duplicates. Countries: us, uk, ca, au, in, de, fr, nl, es, ie, ae, sg, br. It replaces location. |
| "send each job to Slack, Notion or Sheets" | mcpConnector + mcpTarget (+ mcpMessage) |
Needs an MCP connector that the user authorized in Apify Console. See references/gotchas.md. |
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.
- today Changed · +1 lines a9eb6d4aec50
- yesterday First seen · 182 lines · 48 tokens per session scan A 29638876282d
apify-linkedin-jobs-scraper is a skill published in the GitHub repository sickn33/agentic-awesome-skills (48,269 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 2,784 once invoked, about $0.0002 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 2026-10-21.
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