Fierce Option Panel

---
name: team-shinchan:fierce-option-panel
description: Default-on interview option-quality panel — N diverse generators produce structure-free options, a SelfCheckGPT majority-vote consensus filters hallucinations, a SteerConf cautious-confidence judge scores survivors, and a deterministic top-K is returned. Workflow tier; the single fierce-* skill that is ON by default.
user-invocable: false
---

# EXECUTE IMMEDIATELY

fierce-option-panel is a main-loop **Workflow** that hardens the quality of interview
recommendation options generated by Misae's `DESIGN_NEXT_QUESTION`. It runs **N diverse
generators** (structure-free — no A/B/C schema), filters them with a **SelfCheckGPT
majority-vote consensus** (an option survives only if backed by ≥ ceil(N/2+1) generators —
no any-pass promotion of a single generator's hallucination, HR-2), scores the survivors
with a **SteerConf cautious-confidence judge** rubric, and returns a **deterministic top-K**.

## Default-ON: explicit exception to the fierce-\* opt-in convention

Every other `fierce-*` skill (fierce-debate, fierce-compete, fierce-ralph, fierce-review) is
**opt-in** — the user invokes it explicitly because it is expensive. `fierce-option-panel` is
the **single intentional exception**: it is **ON by default** under the quality-over-cost
principle. Option quality at the interview stage compounds across the entire downstream
workflow, so the extra per-turn cost is worth it. Documented identically in
`docs/fierce-option-panel.md` and `agents/misae.md` (FR-10.2).

## Step 0: Validate + opt-out

- This skill calls the **Workflow tool** (main-loop only). **Never delegate to a subagent** —
  `workflow()` throws inside a Task child (R-5).
- **Opt-out / escape hatch (FR-6.3)**: read `.shinchan-config.yaml`. If
  `interview.fierce_option_panel: false`, do NOT run the panel — run the **basic B-path**
  (structure-free gen → verbalized sampling → missing-alternative critic → DINCO calibration,
  see `agents/misae.md`) and record `current.interview.option_source: basic`.
- Read `interview.fierce_panel_generators` (default 3), `interview.fierce_panel_k_max`
  (default 6), and `interview.fierce_panel_token_budget_per_turn` (default 60000). If the
  estimated panel cost for this turn exceeds the budget (HR-3), skip the panel, run the basic
  B-path, and record `option_source: basic_fallback`.

## Step 1: Resolve question + personas (main loop — the script can't read files)

- **Question + context**: the interview question to design options for; pass the relevant
  `files` so generators read the right code.
- **Personas (DRY)**: resolve generator + judge personas from the agent files:
  ```bash
  node ${CLAUDE_PLUGIN_ROOT}/src/workflow-personas.js misae actionkamen
  node ${CLAUDE_PLUGIN_ROOT}/src/workflow-personas.js --learnings misae
  ```

## Step 2: Run the fierce-option-panel Workflow

```
Workflow({
  scriptPath: "${CLAUDE_PLUGIN_ROOT}/skills/fierce-option-panel/fierce-option-panel.workflow.js",
  args: {
    question: "<the interview question>",
    generators: 3,                          // interview.fierce_panel_generators
    kMax: 6,                                // interview.fierce_panel_k_max
    files: ["<path>", "..."],              // context the generators should read
    generatorPersona: "<workflow-personas.js misae>",
    generatorLearnings: "<workflow-personas.js --learnings misae>",
    judgePersona: "<workflow-personas.js actionkamen>"
  }
})
```

**Generate** (N generators each emit one structure-free option + evidence + weight) →
**Consensus** (SelfCheckGPT majority-vote, ≥ ceil(N/2+1); diversity floor bypass if < 2
survivors, R-3) → **Judge** (SteerConf cautious-confidence rubric, deterministic top-K).
Returns `{ question, generators, k_max, consensus_threshold, options, scores, winner,
rationale, dissent, option_source }`.

## Step 3: Graceful degradation (NFR-3)

If the Workflow returns an `error` (any generator threw, judge returned no verdict, budget
overrun), the result carries `option_source: 'basic_fallback'`. Run the basic B-path to
produce the options for this turn instead. **No interview turn is ever blocked by panel
failure.**

## Step 4: Record + format

- Record `current.interview.option_source` (`fierce_panel` | `basic` | `basic_fallback`) in
  WORKFLOW_STATE.yaml (FR-6.4) so retrospectives can audit which path each turn used.
- Apply A/B/C labels to the returned `options` **only now** (separate formatting step, FR-1).
- **Raw confidence (FR-4 / HR-1)**: never write raw/uncalibrated self-confidence to
  WORKFLOW_STATE, logs, or debug output — only DINCO-normalized values.

## Limitations / transferability gap (NFR-5)

The ECE/AUROC calibration metrics (in `src/option-metrics.js`) transfer from the **factual
QA** literature, where "correct" is objectively defined. Here, "correct" is a **proxy**: the
user's eventual option selection is treated as ground truth. This transfer is **unvalidated**
for the design-option domain. The gating bars (`ECE < 0.10`, `AUROC >= 0.70`,
`Distinct-2 >= 0.55`, `self-BLEU <= 0.40`) are pragmatic targets under the proxy, **not**
universally validated thresholds. The same caveat appears in the `option-metrics.js` module
docstring.