Agent skill · neolabhq
do-and-judge
Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop
What it needs
About 12k tokens when loaded.
What this skill does
do-and-judge Task Execute a single task by dispatching an implementation sub-agent, verifying with an independent judge, and iterating with feedback until passing or max retries exceeded. Arguments Argument Format Default Description ---------- -------- --------- ------------- task Free-form text Required Task description to execute --model haiku\ sonnet\ opus auto-selected Explicit user override for all sub-agents: implementation, meta-judge, and judge. When omitted, you MUST select the model per the Model Selection Policy — there is no fixed fallback tier. When provided, the user's choice wins over the policy for every sub-agent — see the Escalation Rule for how escalation interacts with an explicit override. --strict --strict false Disable the Iteration Discretion Rule - the task passes ONLY when score >= 4.0, otherwise retry until max retries is reached. Example: /do-and-judge Refactor the UserService class to use dependency injection --strict Context This command implements a single-task execution pattern with meta-judge → LLM-as-a-judge verification. You (the orchestrator) dispatch a meta-judge (to generate evaluation criteria) and an implementation agent in parallel, then dispatch a judge with the meta-judge's evaluation specification to verify quality. If verification fails, you launch new implementation agent with judge feedback and iterate until passing (score ≥4, or accepted per the Iteration Discretion Rule) or max retries (3) exceeded. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills neolabhq/do-and-judge--743f0b