ZeroShot
Break you AI systems before attackers do
ZeroShot launched on February 5, 2026 with 2 votes, #6,501 of 16,628 launches that month.
What it does
AI systems test suite. Find jailbreaks, hallucinations, and vulnerabilities before you deploy.
Pentest your AI agents before attackers do. OWASP compliance reports. Free CLI tool.
Does a similar job
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We post-trained a model that pen tests instead of refusingJun 2026 · argusred.com · ▲93Anthropic and OpenAI's publicly available models are explicitly guard-railed so that they refuse offensive tasks. And their cyber-focussed models are gated for enterprises. This leaves SMEs and mid market open to major vulnerabilities. AI can be used as both an adversarial and defensive tool in the world of cyber. A worst case outcome is if only the adversaries have access. Meanwhile, most existing AI cyber tools are just wrappers. The problem is that they still have all the guardrails on from the foundation model where they will inherit its refusals. For this project we've post-trained a…
TestMyPromptAug 2026 · testmyprompt.net · ▲4Find vulnerabilities in your AI prompts before your users do
PapercutsJan 2026 · papercuts.dev · ▲99Yooo! Papercuts lets you deploy AI agents that flow through your production app like a real user. Just provide a URL and get notified when something breaks. Modern apps are way too complex for brittle selectors. Honestly, I think the only way to feel safe is to test in production with AI agents that actually perceive and navigate like a human.
- 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…
Automated Testing for AI AgentsMar 2026 · agents.zalor.ai · ▲8Hi Hacker News! We're launching Zalor, an agent testing platform. Agents often break when you tweak system prompts, swap models, or add tools. Zalor automatically generates test scenarios and evaluates your agent so you know it's reliable before deploying to production. We currently support the OpenAI Agents SDK and are onboarding other frameworks. A GitHub integration is coming so you can get feedback on every update. Looking forward to hearing feedback from people building agents.
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