No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Fighter90 · Claude Skill · ★ 69
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is career-ops-ui safe to install? View the security audit →
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. 🆕 Latest release — v1.93.0 Memory layer (Epic 24): a new page holds a short, editable "remember this about me" note. Because it's inlined into the s
| Stars | 69 |
| Forks | 19 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 69.0511690634619/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-15 |
| Created | 2026-05-02 |
| Platforms | browser, claude-code, node |
| Est. Tokens | ~25k |
These tools work well together with career-ops-ui for enhanced workflows:
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career-ops-ui is Clean, docs-style web UI for the career-ops AI job-search pipeline. Search ATS adapters (Greenhouse/Ashby/Lever) + regional portals (hh.ru/Habr Career), evaluate JDs, track applications — all from the. It is categorized as a Claude Skill with 69 GitHub stars.
career-ops-ui is primarily written in JavaScript. It covers topics such as airbnb-style, ashby, ats.
You can find installation instructions and usage details in the career-ops-ui GitHub repository at github.com/Fighter90/career-ops-ui. The project has 69 stars and 19 forks, indicating an active community.
career-ops-ui is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to career-ops-ui on Agent Skills Hub include vibe-resume-skill, jobpilot, Resume-Builder. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: