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* feat(preamble): add "Handling 5+ options — split, never drop" rule Agents repeatedly hit Conductor's 4-option AskUserQuestion cap and silently drop one option to fit, shrinking the user's decision space. This rule names the bug and gives two compliant shapes: batch into ≤4-groups (for coherent alternatives) or split into N sequential per-option calls (for independent scope items, default). Inline preamble subsection is ~15 lines (rule + buckets + pointer). Full reference with worked examples, Hold/dependency semantics, and final-summary validation lives in docs/askuserquestion-split.md. The agent loads the docs file on demand when N>4. Per-option call shape: D<N>.k header, ELI10, Recommendation, kind-note (no completeness score — decision actions, not coverage), Include / Defer / Cut / Hold buckets. Hold stops the chain immediately; the final D<N>.final call validates dependencies and confirms the assembled scope. question_ids: <skill>-split-<option-slug> (kebab-case ASCII, ≤64 chars). Also fixes orphan "12. " prefix on the existing CJK rule. Tier-2+ skills inherit via the existing resolver. SKILL.md regenerated for all 41 affected skills + 3 golden fixtures. Net diff per SKILL.md: ~34 lines (vs ~110 for the full inline version). 6 tests pin the inline contract (4-option cap, buckets, D-numbering, docs pointer, runtime AUTO_DECIDE gate reference, orphan 12 regression). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * feat(question-pref): runtime AUTO_DECIDE carve-out for *-split-* ids Split chains (per-option AskUserQuestion calls emitted by the new "Handling 5+ options" rule) must never be silently auto-approved via /plan-tune preferences. The user's option set is sacred. Layer 1 (mechanism): unique <skill>-split-<option-slug> ids prevent cross-option preference leakage. Layer 2 (this commit): the runtime checker `gstack-question-preference --check` detects any id matching *-split-* and forces ASK_NORMALLY even when never-ask or ask-only-for-one-way preferences exist for that exact id. An explanatory note tells the user their preference was bypassed and why. 7 tests pin the carve-out: no-pref baseline, never-ask override, explanatory note text, ask-only-for-one-way override, always-ask (no note), non-split id containing "split" word (negative case for regex specificity), multi-skill split id formats. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * test(e2e): split-overflow regression for /plan-ceo-review Periodic-tier E2E test that catches the original failure mode the user complained about: 5+ options for ONE decision must split into N sequential AskUserQuestion calls, not drop one to fit Conductor's 4-option cap. Fixture: 5 independent chat-platform integration candidates (Slack/Discord/Teams/Telegram/Mattermost), each carrying its own include/defer/cut decision. Floor = 4 review-phase AUQs (standard [N-1] tolerance band). Pre-fix "drop to 4 + 1 dropped" fails this floor. Wired into test/helpers/touchfiles.ts: tier periodic, depends on plan-ceo-review/**, the new preamble subsection, the question-pref binary (for the carve-out), and the runner helper. touchfiles.test.ts expected count bumped 21 → 22 to account for the new entry. Cost: ~$0.30/run when EVALS_TIER=periodic. Skips silently otherwise. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * chore: post-merge regen + rebase size-budget baseline to v1.47.0.0 After merging origin/main (v1.45 → v1.47), three things needed cleanup: 1. spec/SKILL.md (main's new skill) regenerated to include our split-vs-drop preamble subsection — same mechanical regen as the other 41 tier-2+ skills. 2. Three golden ship fixtures refreshed to capture main's GSTACK_PLAN_MODE block + /spec routing entry + jargon-list.json refactor. 3. docs/skills.md — added /spec table row that main's PR (#1698/#1733) shipped without. Pre-existing failure on main; this PR catches and fixes. Also rebased test/skill-size-budget.test.ts from v1.44.1 → v1.47.0.0 baseline. Main's v1.46 (catalog tokens trim) + v1.47 (/spec skill) pushed the v1.44.1 anchor past the 5% ratchet to ×1.059 — pre-existing failure on main. This PR captures a fresh parity-baseline-v1.47.0.0.json and re-anchors the test there. Historical v1.44.1.json and v1.46.0.0.json retained in test/fixtures/ for reference. Our subsection contributes ~0.1% of the post-rebase corpus. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * chore: bump version and changelog (v1.48.0.0) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
116 lines
6.5 KiB
TypeScript
116 lines
6.5 KiB
TypeScript
import type { TemplateContext } from '../types';
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export function generateAskUserFormat(_ctx: TemplateContext): string {
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return `## AskUserQuestion Format
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### Tool resolution (read first)
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"AskUserQuestion" can resolve to two tools at runtime: the **host MCP variant** (e.g. \`mcp__conductor__AskUserQuestion\` — appears in your tool list when the host registers it) or the **native** Claude Code tool.
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**Rule:** if any \`mcp__*__AskUserQuestion\` variant is in your tool list, prefer it. Hosts may disable native AUQ via \`--disallowedTools AskUserQuestion\` (Conductor does, by default) and route through their MCP variant; calling native there silently fails. Same questions/options shape; same decision-brief format applies.
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**If no AskUserQuestion variant appears in your tool list, this skill is BLOCKED.** Stop, report \`BLOCKED — AskUserQuestion unavailable\`, and wait for the user. Do not write decisions to the plan file as a substitute, do not emit them as prose and stop, and do not silently auto-decide (only \`/plan-tune\` AUTO_DECIDE opt-ins authorize auto-picking).
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### Format
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Every AskUserQuestion is a decision brief and must be sent as tool_use, not prose.
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\`\`\`
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D<N> — <one-line question title>
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Project/branch/task: <1 short grounding sentence using _BRANCH>
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ELI10: <plain English a 16-year-old could follow, 2-4 sentences, name the stakes>
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Stakes if we pick wrong: <one sentence on what breaks, what user sees, what's lost>
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Recommendation: <choice> because <one-line reason>
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Completeness: A=X/10, B=Y/10 (or: Note: options differ in kind, not coverage — no completeness score)
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Pros / cons:
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A) <option label> (recommended)
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✅ <pro — concrete, observable, ≥40 chars>
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❌ <con — honest, ≥40 chars>
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B) <option label>
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✅ <pro>
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❌ <con>
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Net: <one-line synthesis of what you're actually trading off>
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\`\`\`
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D-numbering: first question in a skill invocation is \`D1\`; increment yourself. This is a model-level instruction, not a runtime counter.
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ELI10 is always present, in plain English, not function names. Recommendation is ALWAYS present. Keep the \`(recommended)\` label; AUTO_DECIDE depends on it.
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Completeness: use \`Completeness: N/10\` only when options differ in coverage. 10 = complete, 7 = happy path, 3 = shortcut. If options differ in kind, write: \`Note: options differ in kind, not coverage — no completeness score.\`
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Pros / cons: use ✅ and ❌. Minimum 2 pros and 1 con per option when the choice is real; Minimum 40 characters per bullet. Hard-stop escape for one-way/destructive confirmations: \`✅ No cons — this is a hard-stop choice\`.
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Neutral posture: \`Recommendation: <default> — this is a taste call, no strong preference either way\`; \`(recommended)\` STAYS on the default option for AUTO_DECIDE.
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Effort both-scales: when an option involves effort, label both human-team and CC+gstack time, e.g. \`(human: ~2 days / CC: ~15 min)\`. Makes AI compression visible at decision time.
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Net line closes the tradeoff. Per-skill instructions may add stricter rules.
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### Handling 5+ options — split, never drop
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AskUserQuestion caps every call at **4 options**. With 5+ real options, NEVER
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drop, merge, or silently defer one to fit. Pick a compliant shape:
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- **Batch into ≤4-groups** — for coherent alternatives (e.g. version bumps,
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layout variants). One call, 5th surfaced only if first 4 don't fit.
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- **Split per-option** — for independent scope items (e.g. "ship E1..E6?").
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Fire N sequential calls, one per option. Default to this when unsure.
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Per-option call shape: \`D<N>.k\` header (e.g. D3.1..D3.5), ELI10 per option,
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Recommendation, kind-note (no completeness score — Include/Defer/Cut/Hold are
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decision actions), and 4 buckets:
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**A) Include**, **B) Defer**, **C) Cut**, **D) Hold** (stop chain, discuss).
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After the chain, fire \`D<N>.final\` to validate the assembled set (reprompt
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dependency conflicts) and confirm shipping it. Use \`D<N>.revise-<k>\` to
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revise one option without re-running the chain.
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For N>6, fire a \`D<N>.0\` meta-AskUserQuestion first (proceed / narrow / batch).
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question_ids for split chains: \`<skill>-split-<option-slug>\` (kebab-case ASCII,
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≤64 chars, \`-2\`/\`-3\` suffix on collision). The runtime checker
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(\`bin/gstack-question-preference\`) refuses \`never-ask\` on any \`*-split-*\` id,
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so split chains are never AUTO_DECIDE-eligible — the user's option set is sacred.
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**Full rule + worked examples + Hold/dependency semantics:** see
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\`docs/askuserquestion-split.md\` in the gstack repo. Read on demand when N>4.
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**Non-ASCII characters — write directly, never \\u-escape.** When any
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string field (question, option label, option description) contains
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Chinese (繁體/簡體), Japanese, Korean, or other non-ASCII text, emit
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the literal UTF-8 characters in the JSON string. **Never escape them
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as \`\\uXXXX\`.** Claude Code's tool parameter pipe is UTF-8 native
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and passes characters through unchanged. Manually escaping requires
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recalling each codepoint from training, which is unreliable for long
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CJK strings — the model regularly emits the wrong codepoint (e.g.
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writes \`\\u3103\` thinking it is 管 U+7BA1, but \`\\u3103\` is
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actually , so the user sees \`管理工具\` rendered as \`3用箱\`).
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The trigger is long, multi-line questions with hundreds of CJK
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characters: that is exactly when reflexive escaping kicks in and
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exactly when miscoding is most damaging. Long ≠ escape. Keep
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characters literal.
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Wrong: \`"question": "請選擇\\uXXXX\\uXXXX\\uXXXX\\uXXXX"\`
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Right: \`"question": "請選擇管理工具"\`
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Only JSON-mandatory escapes remain allowed: \`\\n\`, \`\\t\`, \`\\"\`, \`\\\\\`.
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### Self-check before emitting
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Before calling AskUserQuestion, verify:
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- [ ] D<N> header present
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- [ ] ELI10 paragraph present (stakes line too)
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- [ ] Recommendation line present with concrete reason
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- [ ] Completeness scored (coverage) OR kind-note present (kind)
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- [ ] Every option has ≥2 ✅ and ≥1 ❌, each ≥40 chars (or hard-stop escape)
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- [ ] (recommended) label on one option (even for neutral-posture)
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- [ ] Dual-scale effort labels on effort-bearing options (human / CC)
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- [ ] Net line closes the decision
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- [ ] You are calling the tool, not writing prose
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- [ ] Non-ASCII characters (CJK / accents) written directly, NOT \\u-escaped
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- [ ] If you had 5+ options, you split (or batched into ≤4-groups) — did NOT drop any
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- [ ] If you split, you checked dependencies between options before firing the chain
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- [ ] If a per-option Hold fires, you stopped the chain immediately (didn't queue)
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`;
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}
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