career-ops: Open-source AI job search agent and job finder: scan job boards, score each job 1-5 against your CV before you

by career-ops-hq · Claude Skill · ★ 80.3k

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

Featured in: AI Job Hunting & Resume Skills

How to install career-ops

npx @santifer/career-ops init
git clone https://github.com/career-ops-hq/career-ops.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 59/100

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. Full audit →

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.

agent-skillsai-agentai-job-searchatscareercareer-opsclaude-codeclaude-code-pluginclaude-plugincover-letter

Quick Facts

Stars80,282
Forks14,767
LanguageJavaScript
CategoryClaude Skill
LicenseMIT
Quality Score59/100
Open Issues460
Last Updated2026-11-05
Created2026-04-04
Platformsclaude-code, codex, node
Est. Tokens~21k

About career-ops

English Türkçe I spent months applying to jobs the hard way. So I engineered the system I wish I had. Companies use AI to filter candidates. I just gave candidates AI to choose companies. Now it's open source. <p align="c

Compatible Skills

These tools work well together with career-ops for enhanced workflows:

  • career-ops-ui — semantic(0.52)+complementary+rare_topics+same_lang+shared_platform (67%)

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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