career-ops-ui: Clean, docs-style web UI for the career-ops AI job-search pipeline

by Fighter90 · Claude Skill · ★ 95

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

How to install career-ops-ui

git clone https://github.com/Fighter90/career-ops-ui.git web-ui
npx career-ops-ui init        # interactive: pick LLM provider + paste its key → parent career-ops/.env

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 69/100

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.

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Quick Facts

Stars95
Forks25
LanguageJavaScript
CategoryClaude Skill
LicenseMIT
Quality Score69/100
Open Issues1
Last Updated2026-11-04
Created2026-05-02
Platformsbrowser, claude-code, node
Est. Tokens~25k

About career-ops-ui

career-ops-ui A clean, docs-style web interface for the career-ops AI job-search pipeline. Search, evaluate, deep-dive, apply, and track every offer from a single browser tab — instead of bouncing between Claude Code, terminals, and markdown files. English Türkçe Unofficial UI — not affiliated with or endorsed by career-ops / santifer.

Compatible Skills

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

  • jobpilot — semantic(0.38)+complementary+rare_topics+similar_pop+shared_platform (67%)

career-ops-ui alternative? Top 6 similar tools

Looking for a career-ops-ui alternative? If you're comparing career-ops-ui 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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  • vitaecontext by vitaecontext · ⭐ 88

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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:

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