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 FarzamHejaziK · Agent Tool · ★ 207
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-linkedin-assistant safe to install? View the security audit →
A Claude Code job-search assistant for tracking roles, finding leads across LinkedIn, the web, and Indeed, and running LinkedIn outreach. Quick Start · Update · How it works · What it does · Daily flow · Privacy · Contributing A Claude Code job-search assistant for tracking roles, finding leads across LinkedIn, the
| Stars | 207 |
| Forks | 47 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 66.5381818746122/100 |
| Open Issues | 4 |
| Last Updated | 2026-06-09 |
| Created | 2026-04-29 |
| Platforms | browser, claude-code |
| Est. Tokens | ~121k |
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claude-linkedin-assistant is Minimal Claude Code workspace for tracking jobs + sending first-DM LinkedIn outreach via the Claude in Chrome extension. Tracker CRUD, job discovery, and 1st-degree-only outreach. Reply handling, foll. It is categorized as a Agent Tool with 207 GitHub stars.
You can find installation instructions and usage details in the claude-linkedin-assistant GitHub repository at github.com/FarzamHejaziK/claude-linkedin-assistant. The project has 207 stars and 47 forks, indicating an active community.
claude-linkedin-assistant is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-linkedin-assistant on Agent Skills Hub include vibe-annotations, jobpilot, opentabs. 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: