JobFinderOS: Open-source AI job search agents for Claude Code

by matthewprice · Claude Skill · ★ 182

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install JobFinderOS

git clone https://github.com/matthewprice/JobFinderOS.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 63/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentic-aiai-agentsanthropicashbyatsautomationcareerclaudeclaude-codegreenhouse

Quick Facts

Stars182
Forks35
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score63/100
Open Issues3
Last Updated2026-10-31
Created2026-09-06
Platformsclaude-code, python
Est. Tokens~19k

About JobFinderOS

JobFinderOS Find your dream job with Claude Code agents. No coffee breaks, no doomscrolling, no sleep till you're hired! This project capitalizes on one simple fact: a career search is a numbers game. More real contacts lead to more listings you hear about early, more of those become applications with a person attached, and more of those become interviews.

Compatible Skills

These tools work well together with JobFinderOS for enhanced workflows:

  • openings-mcp — semantic(0.57)+complementary+rare_topics+similar_pop+shared_platform (73%)

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Looking for a JobFinderOS alternative? If you're comparing JobFinderOS with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Claude Skill tools