Detects failure modes and escalates pressure to enforce evidence-first debugging and verification.
npx skills add https://github.com/AoManoh/project_templates --skill pua-aomanoh
Please help me install this Agent Skill. Skill: pua Source: https://github.com/AoManoh/project_templates/tree/main/skills/pua Command: npx skills add https://github.com/AoManoh/project_templates --skill pua-aomanoh
This Skill prevents the AI from low-effort “giving up” behavior by enforcing an evidence-first, failure-mode-driven, high-pressure execution loop during complex development, debugging, review, and risky operations.
Use case examples:
Ask the AI to solve your failing task with strong evidence and verification, for example: “Use pua to diagnose the failure, switch methods if it’s looping, and run the required tests before declaring it fixed.”
High-intent search queries and answers about installing and using this skill.
To stop AI from giving up during debugging, enforce an evidence-first execution loop that detects failure modes like looping and mandates structured diagnostics with concrete verification before completion. This forces method shifts and deeper investigation.
Evidence-first failure recovery in AI code generation is a mechanism requiring structured problem diagnosis, real test verification, and forced method shifts across escalating pressure levels before declaring a task complete.
To verify high-risk cross-file tasks without user delegation, apply a pressure escalation framework that proactively assesses boundaries and mandates real commands and tests to prove correctness before claiming completion.
The AI keeps tweaking superficial parameters due to low-effort failure loops, which you can break by enforcing failure-mode detection that identifies superficial tweaks and forces a switch to genuinely different investigation paths.
This approach works for git operations, code review, and debugging. It enforces evidence-first diagnostics and verification across any non-trivial development or risky task where repeated failure indicates wasted loops.
Limitations of AI governance for failure recovery include the strict requirement to generate structured PUA-DIAGNOSIS outputs at every failure, increasing operational overhead for trivial tasks not exhibiting wasted looping behaviors.
ncaqPreserve and log error data in try/catch blocks and Result patterns.
ElliotJLTRun test suites and validate results before declaring completion.
d-o-hubReview Rust code quality across eight dimensions including async patterns and error handling.
cin12211Trace execution paths and call graphs with GitNexus commands.
