claude-linkedin-assistant: Minimal Claude Code workspace for tracking jobs + sending first-DM LinkedIn outreach via the Claude in Chrome

How to install claude-linkedin-assistant

git clone https://github.com/FarzamHejaziK/claude-linkedin-assistant.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 67/100

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.

Quick Facts

About claude-linkedin-assistant

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

Compatible Skills

These tools work well together with claude-linkedin-assistant for enhanced workflows:

• job-apply-plugin — semantic(0.35)+complementary+rare_topics+similar_pop+shared_platform (52%)
• linkedin-skills — semantic(0.16)+complementary+rare_topics+similar_pop+shared_platform (50%)
• claude-chromium-native-messaging — semantic(0.23)+complementary+similar_pop+shared_platform (48%)

claude-linkedin-assistant alternative? Top 6 similar tools

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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:

• SlowMist agent-security taxonomy
• Liu et al., An Empirical Study of Agent Skill Security (2026)
• Our census dataset (DOI 10.5281/zenodo.21292799) · Hugging Face mirror
• How we grade: all 42 rules, the source tiers and known limits
• Full methodology & who runs this