reflect

Implements the surprise-triggered (not time-triggered) reflection pattern: reflection is cheap when it is rare and well-targeted, and wasteful when it fires on a schedule.

When to use

• The PostToolUse hook injected a high-surprise notice in the previous turn.
• You notice beliefs you're relying on are older than the last two surprising observations.
• You've just finished a major step and want a clean belief-state checkpoint before the next one.

Do NOT use /reflect:

• After every tool call (wasteful; the hook already logged the low surprise).
• Without an actual surprise to reflect on (if there isn't one, say so and skip).

Procedure

1. Gather the triggering surprise: the action_id, the expected text, the actual text, and the surprise_score. The hook's additionalContext has these.
2. Delegate to the belief-reviser subagent. Pass it the task_id, the surprise report, and any recent narrative context. The subagent will call list_beliefs, recall_similar_episodes, and update_belief as needed. Capture its full changelog JSON.
3. Check the surprise pattern: is this the 2nd+ surprise on the same belief? Is surprise growing?
   • If yes, delegate to the hierarchy-arbiter subagent with the surprise history and the current task card. Its decision (stay / replan / reclarify-scope / ask-user) determines the next step.
4. Report:
   • The belief-reviser's changelog (revisions + new beliefs).
   • If invoked, the hierarchy-arbiter's decision.
   • Your proposed next action.

What separates this from freestyle reflection

• Surprise-gated. No surprise, no reflection.
• Markov blanket enforced. The belief-reviser cannot touch files. The hierarchy-arbiter cannot write beliefs. You see the separation in the subagent tool allowlists.
• Persistent changelog. Every revision writes to the belief-store, so future sessions and future recall_similar_episodes calls can see what this surprise taught us.

Arguments

$ARGUMENTS — optional free-text note about the surprise. If absent, use the most recent PostToolUse additionalContext.

Output

1. Belief changelog JSON.
2. Arbiter decision JSON (if invoked).
3. One-sentence recommended next step (/predict + run, /probe, /plan-efe, ask-user, or re-run cartographer).