Agent evals
Run your skill on every agent stack. See which wins.
AgentSky runs the same skill against multiple cloud agent stacks simultaneously. Compare quality, time, and cost under identical task conditions — real runs across 10 agent and model combinations, not gut feel.
Choosing an agent stack by gut feel means paying for the wrong one every month.
Choose AgentSky when
Teams with a fixed skill and representative task that want to run that exact workload across supported cloud agent stacks before choosing a default.
Choose another approach when
Use your own eval system when private scorers, bespoke environments, unsupported stacks, or a controlled experimental design must remain inside your infrastructure.
How it works
One job. One complete cloud agent.
Same task, every stack, one run
Give each cloud agent the same instructions, tools, and task in parallel. No local runtimes to configure, no environment drift between stacks. Results are comparable by construction.
Quality, time, and cost side by side
Results land across harness and model combinations — same task, identical sandbox conditions. The ranking is generated from actual runs, not from the vendor's self-reported scores.
Lock in the stack that wins
Save the configuration that performs best. Deploy through web, API, CLI, or a connected channel — the same agent stack runs every time.
You choose
- Skill and instructions
- Agent stacks to evaluate
- Evaluation task
AgentSky runs
- A cloud agent per stack
- Tools and connections per run
- Results and cost per configuration
Typical stack: Hermes + DeepSeek V4 Pro
See the agentTask-level eval workflow
Agent Playground ranks 10 agent stacks across 10 categories, then lets teams run one fixed skill and task on the shortlisted stacks before choosing a default.
Evidence scope: AgentSky observational rankings and task-level comparisons; not a guarantee that the leading stack will win on every skill or future workload.
Inspect the evidence