Borrowing it
Nothing to install: this file belongs to treymorgan/jobsearch-apply-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/treymorgan/jobsearch-apply-mcp/main/.claude/skills/job-scraper/SKILL.mdgit clone --depth 1 https://github.com/treymorgan/jobsearch-apply-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/treymorgan/jobsearch-apply-mcp/job-scraper)<a href="https://agentmods.dev/skills/treymorgan/jobsearch-apply-mcp/job-scraper"><img src="https://agentmods.dev/badge/skills/treymorgan/jobsearch-apply-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/treymorgan/jobsearch-apply-mcp/job-scraper"><img src="https://agentmods.dev/badge/skills/treymorgan/jobsearch-apply-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 | $0.00063 | $0.04982 |
| Opus 5.5 | $0.00025 | $0.01993 |
| Sonnet 5.5 | $0.00013 | $0.00996 |
| Haiku 4.5 | $0.00006 | $0.00498 |
Grade A, and why
scrape scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
fields manually. If it returns HTTP 403, retry with browser headers via curl per This is a copy
92% identical to scrape — 72 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 — 271 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 portals using the installed portal-search CLIs in
.agents/skills/ (plus WebSearch as a fallback), using queries from jobsearch.config.json.
It deduplicates against previously seen jobs and the application tracker, and
presents new matches with a quick fit assessment.
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 data science" or "/scrape geophysics"
- "broad" to run all search categories, e.g. "/scrape broad"
- "health" to run the portal health check only (Step 4.75), without searching, deduplicating, or presenting jobs - e.g. "/scrape health", or "/scrape health freehire" to probe one portal even if disabled
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
jobsearch.config.jsonfor the configured search market, query list, filters, and deal-breakers - Read
search-queries.md(this directory) for the search strategy guide
Step 1: Search
Read jobsearch.config.json for the actual query terms and market settings. Read search-queries.md (this directory) only for guidance on structuring and expanding those terms. By default, run the configured search.queries in priority order. If the user said "broad", include lower-priority configured queries and any safe fallback templates from the guide. If the user specified a focus area (e.g. "data science"), prioritize configured queries that match that focus and generate 2-3 focus-specific variants.
Use the installed CLI tools as the primary search mechanism. Fall back to WebSearch only for portals that do not have a CLI skill, or if bun is unavailable on the system.
1a. Check bun availability
bun --version
If this fails (bun not installed), skip to 1c (WebSearch fallback) for all portals and note the fallback in the Step 5 output.
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.
- 1mo ago First seen · 271 lines · 63 tokens per session scan A b0388d0d7e51
scrape is a skill published in the GitHub repository treymorgan/jobsearch-apply-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 63 tokens to every session and 4,982 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 92% identical to scrape, differing in 72 lines, and is treated as a copy.
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