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Aobench

· github.com/MSKazemi/aobench

Role-aware, permission-enforced benchmark for LLM agents that operate HPC systems — SLURM, telemetry, RBAC, docs, facility. A policy violation hard-fails the task. 88 tasks (10 categories x 5 roles), 29 reproducible environments with 6 rebuilt from real Marconi100 ExaData, scored on 7 weighted dimensions.

Unclaimed agent-benchmarkagent-evaluationai-agentsai-safetyaiopsbenchmarkevaluation-frameworkhigh-performance-computinghpclangfusellmllm-agentsllm-benchmarkllm-evaluationmcppythonrbacreproducibilityslurmtool-use
InstallView source
34Low

Scored a month ago · breakdown

About Aobench

Aobench is an MCP server in the Search category: role-aware, permission-enforced benchmark for LLM agents that operate HPC systems — SLURM, telemetry, RBAC, docs, facility. A policy violation hard-fails the task. 88 tasks (10 categories x 5 roles), 29 reproducible environments with 6 rebuilt from real Marconi100 ExaData, scored on 7 weighted dimensions.

Install

From source
git clone https://github.com/MSKazemi/aobench

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Questions

About Aobench

How do I install Aobench?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Aobench safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Aobench still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.