dsh-skill-evolution

Configuration

Every key below works both via mount config and directly in the Settings panel (panel edits persist to runtime-config.json in the plugin directory, overriding mount config across restarts):

Key	Default	Description
enabled	true	master switch: false stops turn observation and review (existing skills stay registered)
minTraceSteps	3	minimum trace steps (noise floor)
minToolCalls	5	complex signal threshold
minPatternOccurrences	3	repeated signal threshold
minSuccessRate	0.7	repeated signal success-rate floor
signals	all on	{complex, recovered, repeated} individual toggles
complexRequiresCorroboration	true	a lone complex signal needs corroboration before review
autoRegister	true	auto-register crystallized skills into the catalog
llmProvider / llmModel	deepseek / deepseek-chat	review model (the picker cascades to the provider's model catalog)
skillLanguage	en	generated-skill language: zh / en
maxEvolvedSkills	20	evolved-skill capacity
improvementEvery	3	trigger an improvement review every N same-sequence reruns
maxImprovementsPerSkill	5	max improvements per skill
maxEvidenceSteps	30	max evidence steps sent to review (truncation guard)
maxTracesPerSession	200	per-session trace cache cap (memory guard)
maxStepTextLength	200	per-step summary truncation length
reviewSystemPrompt	built-in	override the crystallization review system prompt
improveSystemPrompt	built-in	override the improvement review system prompt