search

search is a skill for Claude Code from suxrobGM/jobpilot. It costs 32 tokens per session (1,422 once invoked), scanned A, original, MIT.

A job-search workflow that searches one configured job board and ranks listings against the user's resume. A job board is a website where employers publish vacancies.

In plain words
What is it for?
Use it to search a chosen board, limit the number of jobs, compare roles with the resume, and save ranked results to a campaign.
Why use it?
It reduces the time spent scanning listings and judging which roles fit the user's qualifications. Results can be saved to a campaign for later review.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions subagents.

Part of the jobpilot plugin — 20 skills, 2 agents, 1 MCP server shipped together

Good fit Use it to search a chosen board, limit the number of jobs, compare roles with the resume, and save ranked results to a campaign.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/suxrobgm/jobpilot/search
Install

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.

Any agent
npx skills add suxrobGM/jobpilot --skill search
Clone the repo
git clone --depth 1 https://github.com/suxrobGM/jobpilot

Made for: Claude Code.

Or install jobpilot, the plugin that ships this one along with the rest of its 20 skills, 2 agents, 1 MCP server.

Wrote 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.

agentmods badge for search

README.md
[![agentmods](https://agentmods.dev/badge/skills/suxrobgm/jobpilot/search.svg)](https://agentmods.dev/skills/suxrobgm/jobpilot/search)
Your own site
<a href="https://agentmods.dev/skills/suxrobgm/jobpilot/search"><img src="https://agentmods.dev/badge/skills/suxrobgm/jobpilot/search.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,422 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 57
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00032 $0.01422
Opus 5 $0.00016 $0.00711
Sonnet 5 $0.00006 $0.00284
Haiku 4.5 $0.00003 $0.00142

Measured 8d ago against content hash 6fe282e58111, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

search 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 8d 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.

curl -fsS -H "authorization: Bearer $JOBPILOT_API_TOKEN" "$JOBPILOT_API/api/job-boards" | jq --arg d "<domain>" '.[] | select(.domain == $d)'
plugin/skills/search/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Search a single board (picked by the user when launching the campaign) and rank results by qualification fit against the resume.

Setup

  1. Follow ../_shared/setup.md.

  2. Parse and strip the flags; the rest is the free-text query.

    • --board <domain> - required (e.g. --board linkedin.com).
    • --max-jobs <N> - optional cap on results to rank. Absent = unlimited (rank until the board is exhausted).
    • --campaign <campaign-id> - campaign to save results to (Phase 5). The web UI passes it; if absent, match the latest source:"search", status:"in_progress" campaign on the query, else create one (a source:"search" create requires config.resumeId - default to the profile's primaryResumeId).
  3. Resolve the board:

    curl -fsS -H "authorization: Bearer $JOBPILOT_API_TOKEN" "$JOBPILOT_API/api/job-boards" | jq --arg d "<domain>" '.[] | select(.domain == $d)'
    

    If no row matches, abort with: "Board <domain> is not configured. Add it on /boards or run again with a different --board." When a --campaign id was given, first command it to failed with POST /api/campaigns/<id>/status {"status":"failed"}.

Phase 1: Parse Query

Extract title/role, keywords, location, other preferences (e.g. "no startups", "FAANG only", salary). If vague, ask before searching.

Phase 2: Search the Board

  1. browser_navigate to the resolved board's searchUrl.
  2. Follow ../_shared/auth.md to log in proactively.
  3. Fill the search fields and submit.
  4. Take a browser_snapshot narrowed to the results list (per ../_shared/browser-tips.md) and read { title, company, location, url, postedAt } per row. While under --max-jobs (or always, when it's absent/unlimited), scroll/paginate per Pagination & infinite scroll in ../_shared/browser-tips.md until the cap is met or results run dry.
  5. Take the first --max-jobs results (or all of them when unlimited); if fewer after paginating, take what's there. Per row:
    • Listing preview suffices (the normal case) → rank from the row; no per-job navigation.
    • A brief description is needed for the ranked table and the preview lacks one → delegate that row to the job-worker subagent with mode:"score" and minMatchScore:0 (so nothing is auto-skipped - search keeps every result for review). It opens the posting, scores, and saves the Job row in isolated context. Such rows are already saved - exclude them from the Phase 5 bulk save.

Read the full file on GitHub · 93 lines

Changes

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.

  1. 8d ago First seen · 93 lines · 32 tokens per session scan A 6fe282e58111

Subscribe to this mod's changes

search is a skill published in the GitHub repository suxrobGM/jobpilot (65 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 1,422 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

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