Borrowing it
Nothing to install: this file belongs to BlockchainHB/linkedin-scraper-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/BlockchainHB/linkedin-scraper-mcp/main/.claude/skills/job-scraper/SKILL.mdgit clone --depth 1 https://github.com/BlockchainHB/linkedin-scraper-mcpWrote 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/blockchainhb/linkedin-scraper-mcp/job-scraper)<a href="https://agentmods.dev/skills/blockchainhb/linkedin-scraper-mcp/job-scraper"><img src="https://agentmods.dev/badge/skills/blockchainhb/linkedin-scraper-mcp/job-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/blockchainhb/linkedin-scraper-mcp/job-scraper"><img src="https://agentmods.dev/badge/skills/blockchainhb/linkedin-scraper-mcp/job-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 | $0.00041 | $0.00499 |
| Opus 5 | $0.00020 | $0.00249 |
| Sonnet 5 | $0.00008 | $0.00100 |
| Haiku 4.5 | $0.00004 | $0.00050 |
Grade A, and why
job-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 9d 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.
What it actually says
Job Scraper MCP Skill
This skill enables job market intelligence by scraping LinkedIn and Indeed via MCP tools.
Available Tools
Once the MCP server is connected, you have access to:
scrape_linkedin_jobs
Search LinkedIn for job listings with filters:
jobTitle(required) - e.g., "Software Engineer", "Product Manager"location- e.g., "San Francisco, CA", "Remote"maxResults- 1-100 (default: 10)experienceLevel- Internship, Entry level, Associate, Mid-Senior level, Director, ExecutivejobType- Full-time, Part-time, Contract, Temporary, Volunteer, InternshipcompanyName- Array of company names to filter
scrape_indeed_jobs
Search Indeed for job listings:
position(required) - e.g., "web developer", "data scientist"country- Country code (default: "US")location- e.g., "New York", "Austin"maxItems- 1-100 (default: 50)parseCompanyDetails- Include detailed company info (slower)
Usage Patterns
When user asks to find jobs:
- Determine which platform(s) to search (LinkedIn, Indeed, or both)
- Extract job title/position, location, and any filters from request
- Call the appropriate tool(s)
- Summarize results with key details: title, company, location, salary (if available)
When user asks about job market trends:
- Search both platforms for broader data
- Analyze patterns in results
- Present insights on demand, salary ranges, common requirements
Example Queries
- "Find remote senior React developer jobs" -> scrape_linkedin_jobs with jobTitle="Senior React Developer", location="Remote"
- "What data science jobs are available in Austin?" -> scrape both platforms for "data scientist" in "Austin"
- "Search for entry-level marketing roles at Google or Meta" -> scrape_linkedin_jobs with companyName=["Google", "Meta"], experienceLevel="Entry level"
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.
- 9d ago First seen · 49 lines · 41 tokens per session scan A 837225b08a55
job-scraper is a skill published in the GitHub repository BlockchainHB/linkedin-scraper-mcp (0 stars, last pushed 8mo ago), licensed MIT. It adds 41 tokens to every session and 499 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 2026-08-31.
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