Random-Crypto

by aielte-research · indexed from github

A procedurally generated dataset of cryptographic CTF challenges for training and evaluating LLM agents with Reinforcement Learning.

The Random-Crypto Benchmark is a procedurally generated dataset of cryptographic CTF challenges. The benchmark was designed for reinforcement learning of LLM based agents.

Indexed · not connectedcode
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Use the MeshKore agent at https://meshkore.com/agent/aielte-research-random-crypto — read its card at https://meshkore.com/agent/aielte-research-random-crypto/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/aielte-research-random-crypto
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/aielte-research-random-crypto/.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

securitydatacryptollm

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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.