KeiSeiKit-1.0/skills/pet-init/phase-3-edge.md

Phase 3 — Edge

Gather the three [edge] fields (directness, initiative, profanity) plus the optional [forbidden].topics list. Click-driven for the enums, one short free-text for forbidden topics.

3a — Edge batch (AskUserQuestion, 1 batch with 3 questions)

Emit a single AskUserQuestion call:

{
  "questions": [
    {
      "question": "How direct should the pet be?",
      "header": "Directness",
      "multiSelect": false,
      "options": [
        {"label": "Gentle",    "description": "Soft-edge, wraps corrections in padding, never pushy"},
        {"label": "Balanced",  "description": "Honest but kind, states disagreement politely"},
        {"label": "Direct",    "description": "Minimal padding, tells you the thing"},
        {"label": "Blunt",     "description": "No padding, named-flaw feedback, warrior mode"}
      ]
    },
    {
      "question": "How proactive should the pet be?",
      "header": "Initiative",
      "multiSelect": false,
      "options": [
        {"label": "Wait",        "description": "Only speaks when you ask"},
        {"label": "Nudge",       "description": "Occasionally flags something that might matter"},
        {"label": "Proactive",   "description": "Will surface patterns, issues, or ideas unprompted"}
      ]
    },
    {
      "question": "Profanity policy?",
      "header": "Profanity",
      "multiSelect": false,
      "options": [
        {"label": "Never",        "description": "Pet never uses profanity, regardless of your style"},
        {"label": "Rare",         "description": "Occasional mild profanity when the moment fits"},
        {"label": "Contextual",   "description": "Mirrors your own register — matches if you swear"}
      ]
    }
  ]
}

3b — Map clicks to variables

DIRECTNESS — lowercase the chosen label:

Label	Value
Gentle	gentle
Balanced	balanced
Direct	direct
Blunt	blunt

INITIATIVE — lowercase:

Label	Value
Wait	wait
Nudge	nudge
Proactive	proactive

PROFANITY — lowercase:

Label	Value
Never	never
Rare	rare
Contextual	contextual

3c — Forbidden topics (free text, optional)

Emit a regular message (NOT AskUserQuestion):

Any topics the pet should refuse to engage on?

• comma-separated list
• examples: medical-advice, legal-advice, stock-picks
• leave blank and press enter to skip

Reply on one line.

Parse the reply:

• trim whitespace
• split on comma
• trim each entry, drop empties
• lowercase + kebab-case each entry (Medical Advice → medical-advice)
• deduplicate while preserving order
• cap at 20 entries (if more, keep first 20 and tell the user)

Capture the result as FORBIDDEN_TOPICS. Empty reply → [] (schema-valid).

3d — Consistency check (soft)

If DIRECTNESS == "blunt" and PROFANITY == "never", emit a regular message (informational, no re-ask):

Note: "blunt" directness with "never" profanity is valid — the pet will use strong language-free bluntness. Continuing.

No branch, no AskUserQuestion — this is just a heads-up so the user knows the combination is deliberate, not a bug.

Verify-criterion

• DIRECTNESS is one of gentle / balanced / direct / blunt
• INITIATIVE is one of wait / nudge / proactive
• PROFANITY is one of never / rare / contextual
• FORBIDDEN_TOPICS is a list (possibly empty) of kebab-case strings, length ≤ 20, no duplicates

Failure modes (constructive paths)

If the user seems confused by the Directness scale (asks "what does blunt mean?"):

• (A) give a one-line example for each level, then re-emit the batch
• (B) default to balanced (the safest middle), confirm with user
• (C) move on with their best guess and remind them they can re-run /pet-init any time

If the forbidden-topics free text contains something that looks like a secret (matches the secrets-guard detector patterns — sk-, ghp_, etc.), STOP:

• do NOT store the reply
• emit: That looked like a credential token, not a topic. Re-enter topics only — no API keys or passwords.
• re-ask once; if it repeats, skip forbidden-topics with []