Intelligence dashboard -- stats, metrics, model routing, routing rationale on demand
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请阅读 https://ai.atlankj.com/install/asset/gh-ruflo-4da7da280666 ,按照其中的说明把「intelligence」安装到你(当前 AI 工具)中。执行前先告诉我将运行的命令和写入的位置,等我确认。
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Show the intelligence system dashboard:
mcp__plugin_ruflo-core_ruflo__hooks_intelligence_stats to get pattern counts, trajectory history, and SONA learning state.mcp__plugin_ruflo-core_ruflo__hooks_metrics to get the metrics dashboard (trajectory throughput, learn-cycle latency, pattern delta).mcp__plugin_ruflo-core_ruflo__hooks_model-stats for 3-tier model routing distribution (Tier 1 booster / Tier 2 Haiku / Tier 3 Sonnet/Opus).mcp__plugin_ruflo-core_ruflo__neural_status for neural pattern + SONA / MoE state.--why <task>) — Call mcp__plugin_ruflo-core_ruflo__hooks_explain with the task to get the routing rationale.Present a summary table:
--why given)If patterns are stale, suggest:
mcp tool call hooks_pretrain --json
mcp tool call agentdb_consolidate --json