/intelligence
Intelligence dashboard -- stats, metrics, model routing, routing rationale on demand
> /plugin marketplace add ruvnet/rufloHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/intelligence
Context preview
What this command does when you run it.
Intelligence dashboard -- stats, metrics, model routing, routing rationale on demand
Command definition
intelligence.mdname: intelligence description: Intelligence dashboard -- stats, metrics, model routing, routing rationale on demand
Show the intelligence system dashboard:
1. Call `mcp__plugin_ruflo-core_ruflo__hooks_intelligence_stats` to get pattern counts, trajectory history, and SONA learning state. 2. Call `mcp__plugin_ruflo-core_ruflo__hooks_metrics` to get the metrics dashboard (trajectory throughput, learn-cycle latency, pattern delta). 3. Call `mcp__plugin_ruflo-core_ruflo__hooks_model-stats` for 3-tier model routing distribution (Tier 1 booster / Tier 2 Haiku / Tier 3 Sonnet/Opus). 4. Call `mcp__plugin_ruflo-core_ruflo__neural_status` for neural pattern + SONA / MoE state. 5. **(Optional `--why <task>`)** — Call `mcp__plugin_ruflo-core_ruflo__hooks_explain` with the task to get the routing rationale.
Present a summary table:
- Pattern count + active trajectories (from intelligence_stats)
- Tier distribution % (from model-stats)
- Last consolidation timestamp (from neural_status / intelligence_stats)
- Recent metric deltas (from hooks_metrics)
- Routing rationale paragraph (only when `--why` given)
If patterns are stale, suggest:
mcp tool call hooks_pretrain --json mcp tool call agentdb_consolidate --json
An agent meta-harness for Claude Code and Codex. Agent = Model + Harness. The model writes; the harness gives it tools, memory, loops, sandboxes, and controls so it can actually work.
Repo: ruvnet/ruflo
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