awesome-n8n-templates: 280+ free n8n automation templates — ready-to-use workflows for Gmail, Telegram, Slack, Discord, WhatsApp

by enescingoz · Agent Tool · ★ 25.3k

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

Featured in: Email Automation

Security audit verdict: SAFE · quality 55/100

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.

ai-agentsai-automationautomationautomation-templatesawesomeawesome-listintegrationlow-coden8nn8n-automation

Quick Facts

Stars25,308
Forks6,457
CategoryAgent Tool
Quality Score55/100
Open Issues8
Last Updated2026-09-12
Created2025-05-08
Est. Tokens~28k

About awesome-n8n-templates

Awesome n8n Templates The largest open-source collection of n8n automation templates on GitHub. Browse 280+ free, ready-to-import workflow templates covering Gmail, Telegram, OpenAI, WhatsApp, Slack, Discord, WordPress, Google Sheets, and dozens more platforms. Continuously updated as of March 2026. </

Compatible Skills

These tools work well together with awesome-n8n-templates for enhanced workflows:

  • awesome-openclaw — semantic(0.27)+complementary+shared_fw(openai)+rare_topics (51%)
  • n8n — semantic(0.28)+complementary+rare_topics+similar_pop (49%)
  • n8n-workflows-maker — semantic(0.42)+complementary+rare_topics (48%)

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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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