Borrowing it
Nothing to install: this file belongs to cypggs/ai-job-search-cn. 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/cypggs/ai-job-search-cn/master/.claude/skills/job-scraper/SKILL.mdgit clone --depth 1 https://github.com/cypggs/ai-job-search-cnWrote 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/cypggs/ai-job-search-cn/job-scraper)<a href="https://agentmods.dev/skills/cypggs/ai-job-search-cn/job-scraper"><img src="https://agentmods.dev/badge/skills/cypggs/ai-job-search-cn/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/cypggs/ai-job-search-cn/job-scraper"><img src="https://agentmods.dev/badge/skills/cypggs/ai-job-search-cn/job-scraper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00092 | $0.01410 |
| Opus 5 | $0.00046 | $0.00705 |
| Sonnet 5 | $0.00018 | $0.00282 |
| Haiku 4.5 | $0.00009 | $0.00141 |
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 13d 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.
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.
Job Scraper
How It Works
This skill searches job sites using targeted queries based on your profile, deduplicates against previously seen jobs and the application tracker, and presents new matches with a quick fit assessment. For the Chinese market, it primarily uses WebSearch because major portals (BOSS 直聘, 拉勾, 猎聘, etc.) aggressively block scrapers. If you have installed optional portal CLI skills (e.g. lagou-search), the scraper can also call those.
Invocation
The user triggers this skill by saying things like:
- "Find new jobs"
- "Scrape for jobs"
- "Any new positions?"
- "/scrape"
Optional arguments:
- A focus area, e.g. "/scrape backend" or "/scrape 算法"
- "broad" to run all search categories, e.g. "/scrape broad"
Execution Steps
Step 0: Load State
- Read
job_scraper/seen_jobs.json(create if missing - start with{"seen": {}}) - Read
job_search_tracker.csvto extract already-applied companies+roles - Read
search-queries.md(this directory) for the search strategy
Step 1: Search
Run WebSearch queries from search-queries.md. By default, run the top 3 priority categories. If the user said "broad", run all categories.
If the user specified a focus area (e.g. "backend"), prioritize queries from that category.
For each search:
- Use
WebSearchwith site-specific queries (site:zhipin.com,site:lagou.com,site:liepin.com,site:linkedin.com/jobs, etc.) - Target your configured geographic area (Chinese cities)
- Look for postings from the last 14 days
If optional Chinese portal CLI skills are installed under .agents/skills/ (e.g. boss-search, lagou-search, liepin-search), you may also run them here with the user's configured query and location flags. If they are not installed, rely entirely on WebSearch.
Step 2: Fetch & Parse
For each promising result from Step 1:
- Use
WebFetchto retrieve the job posting page - Extract: job title, company, location, posting date (or "recent"), URL, key requirements (brief), application deadline (if listed)
- Skip if the URL or company+title combo already exists in
seen_jobs.json - Skip if the company+role already appears in
job_search_tracker.csv
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.
- 13d ago First seen · 131 lines · 92 tokens per session scan A bfbbbf97e8ac
job-scraper is a skill published in the GitHub repository cypggs/ai-job-search-cn (63 stars, last pushed 1mo ago), licensed MIT. It adds 92 tokens to every session and 1,410 once invoked, about $0.0005 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 2026-08-30.
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