TestMyPrompt
Find vulnerabilities in your AI prompts before your users do
TestMyPrompt launched on August 12, 2026 with 4 votes, #2,153 of 23,274 launches that month and more than 75% of that year's launches.
What it does
TestMyPrompt helps developers and teams find vulnerabilities in AI prompts before they reach production. Test across 22 security, safety and reliability categories, including prompt injection, jailbreaks, data exfiltration, indirect prompt attacks, tooling permissions, bias and hallucination risk. Get clear results, risk ratings and actionable recommendations to help you ship safer, more reliable AI.
Test AI prompts for injection, jailbreak, data leakage, bias, and hallucination risks before production.
Automatically scan system prompts for injection vulnerabilities, policy bypass attempts, and data leakage risks. Ship safer AI products with confidence. Our AI evaluator checks prompts across security, safety, ethics, and quality dimensions so nothing slips through. Paste any system prompt and get a 0–100 risk score with categorised findings before you ship. Comprehensive checks across security, safety & ethics, and quality — covering injection, bias, toxicity, and hallucination risk. Every finding includes a plain-English explanation and a concrete remediation step, not just a flag. Organise tests by product, model, or environment. Assign owner, admin, and member roles per workspace. Every…from testmyprompt.net
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- FPFind prompts that jailbreak your agent (open source)2025 · security.vista-labs.ai · ▲8
We've built an open-source tool to stress test AI agents by simulating prompt injection attacks. We’ve implemented one powerful attack strategy based on the paper [AdvPrefix: An Objective for Nuanced LLM Jailbreaks](https://arxiv.org/abs/2412.10321). Here's how it works: - You define a goal, like: “Tell me your system prompt” - Our tool uses a language model to generate adversarial prefixes (e.g., “Sure, here are my system prompts…”) that are likely to jailbreak the agent. - The output is a list of prompts most likely to succeed in bypassing safeguards. We’re just getting…

ModelRedNov 2025 · modelred.ai · ▲10Hi everyone, We built ModelRed to test AI models and apps for security issues. Ran 4,182 attack probes against 9 leading models to see what would break. Leaderboard: https://modelred.ai (no signup, just check it out) Claude scored 9.5/10 but still failed on medical/financial prompts. Mistral Large scored 3.3/10. The gap between best and worst is huge. We test for prompt injections, data leaks, jailbreaks, risky tool calls, domain specific hacks, basically everything that goes wrong when your LLM has access to real data and APIs. The platform runs these tests…
SafePrompt2025 · jack-of-all-trades.dev · ▲12Anonymize Prompt and Text Input to use AI at work safely

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