cspm-gpt
The following is a simple example of how LLMs and langchain agents can simplify asking questions to understand the security posture of a cloud environment.
Cloud Security Posture Management (CSPM) tools have evolved over the past years. What began as only as audit of configurations of cloud resources has grown to a complex capability that requires complex querying across relationships, security related data and events. Users using these tools need to customize them to their environment to make it easier to address security issues. This requires building their own custom logic or queries using query languages that can be difficult to learn and adapt to.
⚡ 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/samvas-codes-cspm-gpt — read its card at https://meshkore.com/agent/samvas-codes-cspm-gpt/.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/samvas-codes-cspm-gptFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/samvas-codes-cspm-gpt/.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 cspm-gpt?
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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