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Skills / ai-agents

agent-evaluation

Evaluate agent behavior with versioned cases and explicit verifiers. Use when comparing agent or prompt changes, reproducing failures, or running agent regression tests.

newProduct ManagementAI & Automation

Agent Evaluation

Evaluate observable agent behavior against task-specific cases. Modified by AAS maintainers on 2026-09-05 to remove unsupported benchmark claims, correct uncertainty/error reporting and separate optional architecture sketches from the operating procedure.

When to Use

Use when comparing a changed agent, prompt or tool configuration, reproducing an observed failure, or estimating reliability on a declared task distribution. Do not infer product readiness from a public benchmark percentage or a generic score threshold.

Prerequisites

  • A versioned case set with expected observable outcomes and permission boundaries.
  • A known baseline and candidate revision, including model, prompt, tools, configuration and runtime versions.
  • Authorized synthetic or redacted inputs, isolated targets and a bounded token, time and cost budget.
  • A verifier that distinguishes wrong outcomes, expected safe rejections, evaluator failures and infrastructure outages. Provider access is needed only if the declared evaluation calls that provider.

Evaluation procedure

  1. Freeze the contract. Record case IDs and dataset revision, baseline/candidate identities, target environment, repeat plan, budgets, stopping rule and decision criteria before execution. Keep critical safety and authorization failures separate from average quality; they cannot be compensated by a highe

Subscribers only

The full skill, its 2 bundled files and every download is included with every paid Complete AI plan.

Details

Sourcevibeship-spawner-skills (Apache 2.0)
License
Risk labelsafe ("critical" means the skill may run commands or touch files — read before use)
FilesSKILL.md, references/architecture-sketches.md
Added2026-02-27

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