Borrowing it
Nothing to install: this file belongs to suraj-davariya/ai-job-search. 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/suraj-davariya/ai-job-search/main/.claude/commands/search.mdgit clone --depth 1 https://github.com/suraj-davariya/ai-job-searchWrote 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/commands/suraj-davariya/ai-job-search/search)<a href="https://agentmods.dev/commands/suraj-davariya/ai-job-search/search"><img src="https://agentmods.dev/badge/commands/suraj-davariya/ai-job-search/search/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/commands/suraj-davariya/ai-job-search/search"><img src="https://agentmods.dev/badge/commands/suraj-davariya/ai-job-search/search.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 | $0.00030 | $0.00470 |
| Opus 5 | $0.00015 | $0.00235 |
| Sonnet 5 | $0.00006 | $0.00094 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
search 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 12d 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
/search — Job Discovery
Canonical command:
/searchAlias:/scrapeSpec: REQ-1001–1012, ADR-0004, DEC-011, DEC-012
Activate the job-scraper skill and run its full workflow:
- Load state — read
job_scraper/seen_jobs.json,job_search_tracker.csv, and.claude/skills/job-scraper/search-queries.md(REQ-1002). - Select query scope — default: top 3 priority categories; optional focus argument narrows/prioritizes;
broadruns all categories (REQ-1001). - Search — issue
WebSearchqueries from the user's configured portals, query strings, and geography; last 14 days (REQ-1003). - Fetch & parse — pre-filter on snippets,
WebFetchpromising results; on failure prompt paste (DEC-011) (REQ-1004). - Quick fit — assign High / Medium / Low signal per candidate profile (REQ-1005).
- Deduplicate — skip seen URLs and known company+role pairs; record all in
seen_jobs.json(REQ-1006). - Filter — apply geo tiers and date rules from
search-queries.md(REQ-1010, REQ-1011). - Present — summary header + fit-sorted table; 2–3 why-bullets for High matches; ask for number(s) (REQ-1007).
- Hand off — pass chosen job URL or text to
/apply; mark statusevaluatedinseen_jobs.json(REQ-1008).
All portal targeting, geography, and site selections come from the user's search-queries.md — nothing is hardcoded here (DEC-012).
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.
- 12d ago First seen · 29 lines · 0 tokens per session scan A 1fb94d65719c
search is a command published in the GitHub repository suraj-davariya/ai-job-search (22 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 470 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 2026-08-30.
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