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aobench MCP Server

MSKazemi/aobench

Score: 49.5 Rank #16854 Monitoring
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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.

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Overview

MSKazemi/aobench is a Python tool licensed under Apache-2.0. 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.

Ranked #16854 out of 24840 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python Apache-2.0

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 9

9 stars → early stage

Freshness 25% 4d ago

Last commit 4d ago → actively maintained

Issue Health 25% 0%

0/26 issues closed → many open issues

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 15
Description Detailed
License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Issue Health high impact

You have 26 open vs 0 closed issues — triaging stale issues improves health

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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