ClaudeSuperPower
SubmitLog in

llm2bedrock-prompt-evaluator

Subagent

Run each golden prompt against the target Bedrock model via the pinned uv harness, score with LLM-as-judge, and report a pass rate. Handles throttling with backoff; returns a structured eval object, or a partial/blocked control state.

0Machine Learning

When Claude delegates to this

Run each golden prompt against the target Bedrock model via the pinned uv harness, score with LLM-as-judge, and report a pass rate. Handles throttling with backoff; returns a structured eval object, or a partial/blocked control state.

Model unspecified

No model pin — runs on your session's model.

Default effort

No reasoning budget declared.

Separate context

Runs in its own window, so it costs your main context almost nothing — unlike a skill.

Its system prompt

732 lines

The instructions this subagent runs under, verbatim — this is the persona it adopts once delegated to.

Shipped by 1 plugin

Installing any of these installs this subagent.

migration-to-aws15

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~59 tokens of context used while enabled, before you invoke anything

Reviews

Log in to leave a review.

No reviews yet — be the first.

Explore related

Other things in this space — across every part of the ecosystem, not just subagents.