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, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
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 agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -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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