linkedin-agent-skill: Eleven free Claude skills that run a LinkedIn account: posts off 21 hook formulas, comments, replies, profile

by Jakeschincariol · Claude Skill · ★ 274

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

How to install linkedin-agent-skill

git clone https://github.com/Jakeschincariol/linkedin-agent-skill.git
/plugin marketplace add Jakeschincariol/linkedin-agent-skill

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

Security audit verdict: SAFE · quality 72/100

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-humanizerclaudeclaude-codeclaude-skillscontent-marketinglinkedin

Quick Facts

Stars274
Forks42
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score72/100
Open Issues5
Last Updated2026-09-17
Created2026-09-07
Platformsclaude-code, python
Est. Tokens~7k

About linkedin-agent-skill

The LinkedIn agent skill Eleven Claude skills that run a LinkedIn account. Free, MIT, no signup, no API key, nothing to connect. One of them writes your posts off 21 hook formulas. One comments on other people's posts. One handles the replies under yours. One scores your profile out of 100 and rewrites what lost points. One plans the week: what to post, when, and who to engage with.

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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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