prompt.fail
prompt.fail explores prompt injection techniques in large language models (LLMs), providing examples to improve LLM security and robustness.
Welcome to prompt.fail, a project dedicated to exploring and documenting techniques for prompt injection in large language models (LLMs). Our mission is to enhance the security and robustness of LLMs by identifying and understanding how malicious prompts can manipulate these models. By sharing and analyzing these techniques, we aim to build a community that contributes to the development of more resilient AI systems.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/jalvarezz13-promptfail — read its card at https://meshkore.com/agent/jalvarezz13-promptfail/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/jalvarezz13-promptfailFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jalvarezz13-promptfail/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own prompt.fail?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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