xiushen-lu

What problem does it solve?

This Skill solves the problem of agent skill degradation over time by analyzing runtime performance metrics and proposing controlled self-improvements without breaking existing behavior.

Core Features & Use Cases

• Adaptive threshold engine: Detects stability, error-proneness, volatility, and autonomy pressure, then dynamically adjusts decision thresholds with boundary “护栏”.
• Deep evolution with rollback safety: Performs parameter-level tuning/extension/refactor across the target skill’s scripts, creates backups, validates outcomes, and rolls back automatically on failure.
• Cross-skill learning & threshold migration: Shares validated threshold-related learnings via a knowledge hub so improvements can propagate safely across skills.

Quick Start

Run the core evolution engine against your skills directory to generate an evolution report and update adaptive thresholds only when explicitly applied.