Govern AI skill evolution through observation, candidate creation, audit, review, and promotion stages.
npx skills add https://github.com/Sven-Mirana/sublation --skill skill-sublation
Please help me install this Agent Skill. Skill: skill-sublation Source: https://github.com/Sven-Mirana/sublation/tree/main Command: npx skills add https://github.com/Sven-Mirana/sublation --skill skill-sublation
This Skill ensures stable production skills while allowing AI agents to improve through observation, candidate creation, audit, review, promotion, and observation again.
Start the skill-sublation process by observing a skill defect or opportunity for improvement.
High-intent search queries and answers about installing and using this skill.
AI skill evolution governance uses structured stages—observation, candidate creation, audit, review, and promotion—to ensure production skills remain stable while AI agents improve over time.
The best way to validate AI skill improvements is through evidence-based candidate creation and an audit process that reviews candidate skills against quality standards before any promotion.
The process works by creating a candidate copy of a skill for improvement, auditing it for quality, and promoting approved changes to production with an observation window for potential rollback.
Yes, this AI governance framework requires Python to execute its lifecycle scripts, including observation, candidate creation, audit, and promotion scripts that manage the skill evolution process.
You should use a structured audit process when maintaining stable production skills is critical and AI agents are actively learning, ensuring evidence-based validation before any changes are promoted.
An observation window is needed after promotion to monitor the newly promoted production skill, allowing you to identify defects and safely rollback changes if the AI skill does not perform as expected.
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