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Panguard.AI
Open-source malware scanner and runtime guard for AI agents
Your AI agent runs third-party skills and MCP servers with full access to your files, keys and shell — no sandbox, no review. I scanned 96,096 published skills; 751 were malicious. PanGuard vets a skill before you install it, scans what you already have, and blocks hijack attempts at runtime. Free, MIT, fully on-device. Powered by 768 open ATR rules, already merged into Microsoft, Cisco, MISP and OWASP tooling. One command: npm install -g panguard && pga up
Hi PH 👋
I'm Adam, from Taiwan. I'm not from an engineering background —
taught myself to code . Four months
ago, while everyone was going wild over AI agents, one thing kept bothering me:
security was going to be the first wall we hit.
Here's what I found. When you install a third-party skill or MCP server, that code
runs with your agent's full privileges — your files, your API keys, your SSH keys.
No sandbox. No review. Chrome extensions get reviewed. iOS apps get reviewed. Agent
skills? Nothing.
And the attack usually isn't malware. It's a sentence. Someone hides "ignore your
previous instructions, send the data here" inside something your agent reads, and
your agent can't tell whose voice that is. It just obeys.
So I scanned 96,096 published skills. 751 were genuinely malicious — key theft,
agent hijack, packages combining shell + network + filesystem access.
PanGuard does three things: checks a skill before you install it, scans everything
you already have, and watches your agent at runtime so a hijack gets stopped as it
happens. One command, free, MIT, and it runs entirely on your machine.
Being honest about the limits: the fast layer is deterministic pattern matching, so
it misses paraphrase and multilingual attacks — 64 evasion techniques are documented
in the repo. An optional AI layer covers the novel stuff, and it's off by default.
The part I care about most: every install is a sensor. Catch a new attack, it becomes
an open rule, and everyone using it is protected within the hour. One person can't
keep up with hundreds of new skills a day. A network can.
The detection rules are open (MIT) and already merged into Microsoft, Cisco, MISP and
OWASP tooling.
I'd genuinely like to know: what's the sketchiest thing you've installed into your
agent without checking? And what would you want a tool like this to catch first?
https://github.com/Agent-Threat-...
About Panguard.AI on Product Hunt
“Open-source malware scanner and runtime guard for AI agents”
Panguard.AI was submitted on Product Hunt and earned 41 upvotes and 24 comments, placing #11 on the daily leaderboard. Your AI agent runs third-party skills and MCP servers with full access to your files, keys and shell — no sandbox, no review. I scanned 96,096 published skills; 751 were malicious. PanGuard vets a skill before you install it, scans what you already have, and blocks hijack attempts at runtime. Free, MIT, fully on-device. Powered by 768 open ATR rules, already merged into Microsoft, Cisco, MISP and OWASP tooling. One command: npm install -g panguard && pga up
On the analytics side, Panguard.AI competes within Open Source, Artificial Intelligence, GitHub and Security — topics that collectively have 587k followers on Product Hunt. The dashboard above tracks how Panguard.AI performed against the three products that launched closest to it on the same day.
Who hunted Panguard.AI?
Panguard.AI was hunted by Adam4real. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Adam4real