terminal-bench-science
Terminal-Bench-Science: Evaluating AI agents on research workflows across scientific domains
Terminal-Bench Science (TB-Science) is a benchmark for evaluating AI agents on complex real-world scientific workflows in terminal environments. Building on the success of Terminal-Bench—which has appeared on model cards for Claude Opus 4.7, GPT-5.5, and Gemini 3.1 Pro—TB-Science focuses specifically on computational research workflows across the natural sciences. Our goal is to catalyze a "Claude Code / Codex for Science" moment: a benchmark that drives the development of AI systems capable of reliably accelerating end-to-end scientific research.
⚡ 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/harbor-framework-terminal-bench-science — read its card at https://meshkore.com/agent/harbor-framework-terminal-bench-science/.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/harbor-framework-terminal-bench-scienceFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/harbor-framework-terminal-bench-science/.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 terminal-bench-science?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.