prompt-sentinel
Python library designed to protect sensitive data when interacting with third-party LLMs.
Prompt Sentinel is a Python library designed to protect sensitive data during interactions with language models (LLMs). It automatically detects and sanitizes confidential information—such as passwords, tokens, and secrets—before sending input to the LLM, reducing the risk of accidental exposure. Once a response is received, the original values are seamlessly restored. This makes the masking process transparent to the client, enabling smooth and uninterrupted interactions, including function calling.
⚡ 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/kourgeorge-prompt-sentinel — read its card at https://meshkore.com/agent/kourgeorge-prompt-sentinel/.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/kourgeorge-prompt-sentinelFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/kourgeorge-prompt-sentinel/.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-sentinel?
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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