Enforce AI safety, evidence-based reasoning, and thoroughness across debugging, implementation, configuration, and deployment tasks.
npx skills add https://github.com/sstklen/yes.md --skill yes-ja
Please help me install this Agent Skill. Skill: yes-ja Source: https://github.com/sstklen/yes.md/tree/main/skills/yes-ja Command: npx skills add https://github.com/sstklen/yes.md --skill yes-ja
This Skill enforces rigorous AI behavior by preventing common AI pitfalls like guessing, deflecting, and superficial fixes, ensuring thoroughness and evidence-based outputs.
Use the yes-ja skill to debug the current application error by gathering evidence and verifying fixes.
High-intent search queries and answers about installing and using this skill.
To prevent AI from guessing during application debugging, you need an AI governance engine that enforces evidence-based reasoning. This Skill mandates systematic evidence gathering, log checking, and fix verification before reporting conclusions.
Evidence-based reasoning in AI-assisted coding requires all AI claims to be backed by data or tool output. This mechanism prevents superficial fixes by enforcing strict rules demanding verifiable evidence for all actions and conclusions.
To enforce safety gates for backups and blast radius before AI deployment, use a multi-layered governance engine. It implements pre-action checks ensuring deployment safety by verifying backups and controlling blast radius.
To stop AI from blind retries and ignoring tools when fixing code quality issues, apply anti-lazy pattern enforcement. This catches and corrects superficial AI habits by mandating strict adherence to tool usage and evidence rules.
Yes, this AI governance engine works with configuration and implementation tasks. It operates on all task types by enforcing safety gates, evidence rules, and ripple awareness principles across the software engineering lifecycle.
leonardoteodorooEvaluate LLM outputs with automated metrics, human feedback, and benchmarking.
jonnathan-lsGuide production deployments with rollback planning and health checks.
Vivekmano27Run tool-based static analysis to report duplication, complexity, dead code, and code smells.
mathur-exeRefine prompts to steer AI behavior toward coherent extrapolated volition.
