ai-agent-automations: A curated collection of ready-to-run automation prompts for real-world workflows

by ChmaraX · Codex Skill · ★ 67

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

Security audit verdict: SAFE · quality 52/100

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.

agentagent-skillsagentic-aiagentic-workflowautomationsclaude-codecodexcursorskills

Quick Facts

Stars67
Forks2
LanguagePython
CategoryCodex Skill
Quality Score52/100
Last Updated2026-07-11
Created2026-05-24
Platformsclaude-code, codex, python
Est. Tokens~13k

About ai-agent-automations

AI Agent Automations A curated collection of 50+ ready-to-run AI agent automations for real-world workflows. English · 简体中文 For multiple agent environments and workflow platforms Open the catalog assessment prompt directly in your AI app and let it recommend the best automation for your repo or workflow.

Compatible Skills

These tools work well together with ai-agent-automations for enhanced workflows:

  • skills — semantic(0.36)+complementary+same_lang+similar_pop+shared_platform (62%)
  • agent-skills — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (61%)
  • agent-skills — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (61%)

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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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