What problem does it solve?
AI coding agents often give up too early, declare tasks complete without verification, or blame the environment instead of fixing root causes. This Skill imposes a strict governance workflow on Trae agents so that every claimed completion is backed by build, test, or manual acceptance evidence.
Core Features & Use Cases
- Separation of Four Powers: Divides action, self-review, scoring, and environment-modification rights so the agent cannot grade its own work or alter tests to fake passing results.
- Diagnosis-First Protocol: Requires a
[PUA-DIAGNOSIS] line stating the problem, evidence, and next action before any code change.
- De Facto 100% Confidence Loop: Forces hypothesis listing, minimal verifiable actions, local validation runs, and path-switching after two failures before delivery.
- Use Case: When a Trae agent fails twice on a bug fix and is about to say "cannot be done", this Skill triggers a root-cause analysis, an alternative approach, and a verified delivery report with a SELF-REVIEW section.
Quick Start
Ask the Trae agent to apply the PUA workflow to retry the failing task with diagnosis, verification evidence, and a self-review before declaring completion.