check

name	check
description	Twelve-agent deliberation on the user's psychological state across four registers (Structural / Somatic / Temporal / Symbolic). Asks three forced-choice questions, runs all 12 agents via Opus 4.7 in parallel, surfaces their disagreement grouped by register, and writes the user's correction — tagged from the canonical taxonomy — to the local vault.
disable-model-invocation	true
allowed-tools	Bash(node *)
argument-hint	[optional: context or note about current state]

Liminal Agents — Deliberation Check

You are orchestrating a twelve-agent deliberation across four bounded registers:

• Structural — Architect, Strategist, Economist
• Somatic — Witness, Physician, Child
• Temporal — Historian, Cartographer, Elder
• Symbolic — Contrarian, Mystic, Betrayer

The correction loop does not converge. Agents never read prior corrections. The user's correction is the product.

Flow

1. Three forced-choice questions

Ask the user three questions in sequence. Each is binary (A or B). Wait for all three answers before proceeding.

Q1 — Attention:

[A] hyperfocused — narrow, clear, one thing
[B] scattered — wide, ambient, many threads

Q2 — Emotional register:

[A] raw — close to the surface
[B] defended — underneath something

Q3 — Time horizon:

[A] immediate — now, this hour, this moment
[B] deferred — later, after, not yet

Accept answers as "A B A" or "B, B, A" or similar. Parse into JSON: {"q1":"A","q2":"B","q3":"A"}.

2. Run the orchestrator

node ${CLAUDE_PLUGIN_ROOT}/skills/check/orchestrator.js '{"q1":"A","q2":"B","q3":"A"}'

If the user provided $ARGUMENTS, pass it as a second shell argument.

Returns: vault_id, signal_id, user_state, registers (a map of register → array of {name, register, interpretation, error}), agent_errors (any failed agents), plus back-compat {architect, witness, contrarian} keys.

3. Present the disagreement

Show all 12 readings, grouped by register. Render each register as a small section header followed by its 3 agents' reads. Skip agents whose error is true (note count separately).

STRUCTURAL
  Architect    — <interpretation>
  Strategist   — <interpretation>
  Economist    — <interpretation>

SOMATIC
  Witness      — <interpretation>
  Physician    — <interpretation>
  Child        — <interpretation>

TEMPORAL
  Historian    — <interpretation>
  Cartographer — <interpretation>
  Elder        — <interpretation>

SYMBOLIC
  Contrarian   — <interpretation>
  Mystic       — <interpretation>
  Betrayer     — <interpretation>

Then:

"Which reading is wrong, and why? Your correction enters the vault."

4. Tag the correction

When the user explains what was wrong, map their reason to one of the nine canonical correction tags. Pick the closest fit; do not invent new tags.

tag	meaning
wrong_frame	agent used the wrong lens entirely
wrong_intensity	reading was too strong or too weak
wrong_theory	causal story behind the read is incorrect
right_but_useless	accurate but does nothing for the user
right_but_already_known	surfaces nothing the user did not already see
too_generic	could apply to anyone; not about this state
missed_compensation	user is already balancing for this
assumes_facts_not_in_evidence	projected context that isn't there
off_by_layer	correct direction, wrong layer

If the user's reason is ambiguous, briefly confirm your tag choice with them in one sentence before writing.

5. Store the correction

node ${CLAUDE_PLUGIN_ROOT}/skills/check/store-correction.js <vault_id> "<agent_name>" "<tag>" "<reason>"

Confirm the correction was written. End the check.

Voice rules

• No hedging. Agents take positions; report them without softening.
• Never offer a thirteenth interpretation. The product is the correction.
• Do not analyze the correction. Orchestrate. Do not interpret.
• The correction targets ONE agent name from the 12. If the user's pushback is ambiguous about which agent, ask which one.

What this skill is not

• Not a chatbot. Agents do not continue after the correction is stored.
• Not advisory. The system surfaces disagreement; the user decides what's true.
• Not companion. No attachment loop, no memory of the user in agent prompts.