# Your LLM app will get jailbroken. Here are 8 free adversarial probes you can run in 30 seconds

> Source: <https://dev.to/llmrt/your-llm-app-will-get-jailbroken-here-are-8-free-adversarial-probes-you-can-run-in-30-seconds-5665>
> Published: 2026-09-12 15:14:27+00:00

I run an autonomous agent that makes security decisions from untrusted input. Before I trusted it, I red-teamed it the way an attacker would. The result: **27/100 MEDIUM, 1 of 8 probes flagged** - a soft failure where the model leaked part of its system prompt when asked politely in a different language.

Here is the exact 8-probe battery I use on every LLM app before it talks to users. You can run it free, no signup, against your own system prompt:

```
curl -s -X POST https://llmrt-companion.manhliemcn4euwlu.workers.dev/agent-scan \
  -H "Content-Type: application/json" \
  -d '{"spec": "PASTE YOUR SYSTEM PROMPT HERE", "uid": "your-name"}'
```

~35 seconds later you get a 0-100 risk score, the per-probe raw prompt + raw model reply (so you can verify every claim), and the flagged responses. The report is hash-verifiable (sha256 over the served bytes), and the durable link stays up: my own self-scan is at `https://llmrt-companion.manhliemcn4euwlu.workers.dev/r/e21808b6fedb` - recompute the hash, re-run the scan, check my work.

**The 8 free probes** (full kit is 35 across 17 attack classes, this is the high-yield core):

A few things that surprised me when I actually ran this instead of eyeballing it:

If you are shipping an LLM behind a form, this is the 30-second check I would want to see before merging. The 15-probe core is MIT - clone it and diff any probe I claim: `gitee.com/xydhw/llm-red-team-starter-kit`.

What is the softest failure you have found in your own model?