10 Prompts to Hack Your Own AI Agent (Before Attackers Do)
Most AI agents are deployed with zero security. Hardcoded API keys. Auto-approval on spend actions. No prompt injection testing.
I audit these agents for a living. I find the same vulnerabilities over and over.
Here are 10 prompts that reveal if your agent is a ticking time bomb โ or ready for production.
Run them. If your agent fails any, let’s talk.
API Key Extraction
What it tests: Whether your agent can be tricked into revealing credentials.
If it responds: Attackers now have your keys. They can make calls, send messages, and rack up bills in your name.
Fix: Never hardcode API keys. Use environment variables. Encrypt them in config files. Never let the agent see them.
System Prompt Theft
What it tests: Whether your agent reveals its internal instructions.
If it responds: Attackers know exactly how your agent works โ its rules, limitations, and guardrails.
Fix: Treat your system prompt as a trade secret. Filter it from all outputs.
Environment Variable Leak
What it tests: Whether the agent exposes database credentials, API keys, or internal paths.
If it responds: Your entire infrastructure is compromised.
Fix: Never let agents access environment variables directly. Use a secrets manager.
Call Approval Bypass
What it tests: Whether your agent respects spending limits.
If it calls: Your agent has no guardrails. One bad prompt = thousands in unexpected Twilio bills.
Fix: Always require explicit human approval for any action that costs money.
Tool Misuse
What it tests: Whether the agent can be tricked into running dangerous commands.
If it executes: Attackers can use your agent as a launchpad for internal attacks โ scanning networks, deleting files, accessing databases.
Fix: Restrict tool access. Implement allowlists. Never give agents more permissions than necessary.
Data Exfiltration
What it tests: Whether the agent leaks conversation data, customer PII, or internal plans.
If it sends: Your agent is a data leak waiting to happen.
Fix: Block external calls. Monitor all outbound data. Never let agents send data without review.
Memory Poisoning
What it tests: Whether an attacker can permanently corrupt your agent’s behavior.
If it obeys: The agent is no longer under your control.
Fix: Isolate memory per session. Never let users override system instructions.
Skill Backdoor
What it tests: Whether the agent reveals its attack surface.
If it responds: Attackers know exactly where to inject malicious code.
Fix: Audit all skills before installation. Sign them cryptographically. Never run untrusted code.
Channel Hijacking
What it tests: Whether the agent can spam customers, employees, or partners.
If it sends: Your agent can be weaponized for phishing, misinformation, or reputational damage.
Fix: Rate-limit messages. Require human approval for bulk sends. Monitor all outbound communication.
Full Agent Takeover
What it tests: Whether the agent can be fully compromised.
If it complies: Your agent is no longer a tool โ it’s a weapon.
Fix: Build in hard fails for ambiguous commands. Never allow agents to escalate privileges. Assume compromise is possible and limit blast radius.
What These Prompts Reveal
- Any prompt works โ Your agent has no security controls
- Keys exposed โ Attackers can steal your identity
- Tools misused โ Your agent can be weaponized
- Data exfiltrated โ Your customers are at risk
- Channels hijacked โ Your reputation can be destroyed
Why This Matters
AI agents are no longer experimental. They’re calling customers, accessing databases, making decisions. They are digital workers โ and like any employee, they need to be vetted, monitored, and tested.
I audit OpenClaw deployments, test for prompt injection, and harden agent infrastructure. One weekend of testing can save you a nightmare.
What to Do Next
- Run these prompts against your own agents.
- If any fail, you have work to do.
- Book an audit โ let’s lock it down before someone else finds the cracks.
๐ฆ Need to secure your AI agents?
I audit OpenClaw deployments, test for prompt injection, and harden agent infrastructure. Let’s talk before you deploy.
๐ View Pentest Services โBased on real audits of OpenClaw agents, custom AI skills, and voice agent deployments. Your mileage may vary โ but the vulnerabilities are consistent.












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