Mahal Systems

Overview › Benchmark catalog

Who&When

Fits teams that want an automated judge to blame the right agent and step after a multi-agent failure. Borrow the agent-plus-step labeling scheme; the reported baselines (about half right on agent, far lower on step) set expectations.

What it asks the agent to do

  • read a failed multi-agent run and name the agent responsible
  • point to the exact step where the run went wrong
  • explain the failure in plain language

What to borrow from it

grading designtaxonomybaseline

Caveats

Small (184 failures) and drawn from CaptainAgent and Magentic-One on GAIA and AssistantBench queries, so it covers a narrow set of orchestration styles.

Details

Workloadsmulti agent, general assistant
Interactionsingle turn
Environmentstatic
End state checkedNo
Toolsnone
Gradingexact match
Size184
Datareal public
Personal datanone
LicenseMIT
Harnessown repo
Statusactive

Links