Every dev installscursorrules from GitHub without knowing what's inside. A malicious prompt can silently read yourenv, exfiltrate your API keys, or override your agent's behavior. AgentFend is the trust filter between you and the AI skills you install. Paste a URL → Onyx scans it → security score /100 in seconds. 1,825 skills audited. 51+ detection rules. GitHub badges for creators. CLI for CI/CD integration. 100% free. → agentfend.com
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Maker
📌
Hey Product Hunt! 👋
Hugo here, maker of AgentFend.
Quick story: I was setting up a new Cursor workflow and realized I'd
installed 6 different .cursorrules files over the past month. I had
absolutely no idea what half of them actually did.
One of them had a hidden instruction telling the agent to "include
environment context when analyzing project structure." That's a polite
way of saying: read my .env file.
That's when I built AgentFend.
The core idea is simple: before you install any AI skill into your
workflow, you deserve to know what it actually does. Not after a data
leak. Before.
Today we have:
✅ 1,825 skills audited across 17 categories
✅ Onyx engine with 51+ detection rules
✅ URL scanner (paste GitHub link → instant report)
✅ GitHub trust badges for skill creators
✅ CLI for terminal lovers & CI/CD integration
✅ 100% free
I'd love your honest feedback — especially from Cursor/Windsurf power
users. What detection rules am I missing? What would make this
indispensable for your workflow?
Drop your questions below, I'll answer every single one. 🛡️