Evaluation Runner Template
Automate eval suites to keep agents in spec.
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Public preview stays open. Full steps, assets, and repo access live behind Vault when available.
What you get
- Eval harness scaffold
- Metric schema
- Scheduling notes
Plus step-by-step usage and direct repo access.
Pydantic AI is useful because it makes typed agent contracts visible. The current evidence supports a control-surface map, not runtime, safety, benchmark, or adoption claims.
Mastra is useful Starkslab evidence because its public repo and docs expose a TypeScript agent framework with clear control surfaces. That supports inspection, not adoption guidance.
Open Computer Use MCP is useful Starkslab evidence because it makes the computer-use runtime boundary visible. That supports inspection, not adoption guidance.
Herdr is useful Starkslab evidence because its repo and docs expose an agent-aware terminal multiplexer: real panes, persistent sessions, state rollups, and CLI/socket controls.
Entire CLI is useful Starkslab source stock because it treats AI agent sessions as Git-indexed provenance. The source read supports workflow-inspection lessons, not adoption, runtime, security, or compliance claims.
Qwen Code is useful Starkslab evidence because its official source and docs expose a modern agent CLI control surface. That supports inspection, not adoption guidance.
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