{ "schema_version": 1, "kind": "supplemental-live-model-transcript", "execution_id": "office-hours", "provider": "claude-cli", "model": "claude-haiku-4-5-20251001", "configuration": { "bare": true, "session_persistence": false, "slash_commands": false, "chrome": false, "max_turns": 1, "max_budget_usd_per_call": 0.1, "tools": [], "output_format": "json", "temperature": "provider default" }, "prompt_template": "You are executing the following authoritative GStack workflow. Preserve its judgment and mutation boundary.\n[optional GStack 2 route]\n\n{{rendered workflow}}\n\n\n\n{{fixture}}\n\n\nReturn one JSON object and no prose with exactly these string fields: question, recommendation, pushback, evidence_required, artifact, approval_gate, mutation_boundary, completion_status, next_action, voice. Do not call tools or claim observations you did not make.", "baseline_prompt": "You are executing the following authoritative GStack workflow. Preserve its judgment and mutation boundary.\n\n\n## Preamble (run first)\n\n```bash\n_ROOT=$(git rev-parse --show-toplevel 2>/dev/null)\nGSTACK_ROOT=\"$HOME/.codex/skills/gstack\"\n[ -n \"$_ROOT\" ] && [ -d \"$_ROOT/.agents/skills/gstack\" ] && GSTACK_ROOT=\"$_ROOT/.agents/skills/gstack\"\nGSTACK_BIN=\"$GSTACK_ROOT/bin\"\nGSTACK_BROWSE=\"$GSTACK_ROOT/browse/dist\"\nGSTACK_DESIGN=\"$GSTACK_ROOT/design/dist\"\n_UPD=$($GSTACK_BIN/gstack-update-check 2>/dev/null || .agents/skills/gstack/bin/gstack-update-check 2>/dev/null || true)\n[ -n \"$_UPD\" ] && echo \"$_UPD\" || true\nmkdir -p ~/.gstack/sessions\ntouch ~/.gstack/sessions/\"$PPID\"\n_SESSIONS=$(find ~/.gstack/sessions -mmin -120 -type f 2>/dev/null | wc -l | tr -d ' ')\nfind ~/.gstack/sessions -mmin +120 -type f -exec rm {} + 2>/dev/null || true\n_PROACTIVE=$($GSTACK_BIN/gstack-config get proactive 2>/dev/null || echo \"true\")\n_PROACTIVE_PROMPTED=$([ -f ~/.gstack/.proactive-prompted ] && echo \"yes\" || echo \"no\")\n_BRANCH=$(git branch --show-current 2>/dev/null || echo \"unknown\")\necho \"BRANCH: $_BRANCH\"\n_SKILL_PREFIX=$($GSTACK_BIN/gstack-config get skill_prefix 2>/dev/null || echo \"false\")\necho \"PROACTIVE: $_PROACTIVE\"\necho \"PROACTIVE_PROMPTED: $_PROACTIVE_PROMPTED\"\necho \"SKILL_PREFIX: $_SKILL_PREFIX\"\nsource <($GSTACK_BIN/gstack-repo-mode 2>/dev/null) || true\nREPO_MODE=${REPO_MODE:-unknown}\necho \"REPO_MODE: $REPO_MODE\"\n_SESSION_KIND=$($GSTACK_BIN/gstack-session-kind 2>/dev/null || echo \"interactive\")\ncase \"$_SESSION_KIND\" in spawned|headless|interactive) ;; *) _SESSION_KIND=\"interactive\" ;; esac\necho \"SESSION_KIND: $_SESSION_KIND\"\n# Conductor host: AskUserQuestion is unreliable here (native disabled, MCP\n# variant flaky), so skills render decisions as prose instead of calling the\n# tool. Gated on !headless so an eval/CI run INSIDE Conductor (GSTACK_HEADLESS)\n# still BLOCKs rather than rendering prose to nobody.\nif [ \"$_SESSION_KIND\" != \"headless\" ] && { [ -n \"${CONDUCTOR_WORKSPACE_PATH:-}\" ] || [ -n \"${CONDUCTOR_PORT:-}\" ]; }; then\n echo \"CONDUCTOR_SESSION: true\"\nfi\n_ACTIVATED=$([ -f ~/.gstack/.activated ] && echo \"yes\" || echo \"no\")\n_FIRST_LOOP_SHOWN=$([ -f ~/.gstack/.first-loop-tip-shown ] && echo \"yes\" || echo \"no\")\necho \"ACTIVATED: $_ACTIVATED\"\necho \"FIRST_LOOP_SHOWN: $_FIRST_LOOP_SHOWN\"\n# First-run project detection: run the detector ONLY on the first-ever skill run\n# (ACTIVATED=no, interactive) so it stays off the hot path for every run after.\n_FIRST_TASK=\"\"\nif [ \"$_ACTIVATED\" = \"no\" ] && [ \"$_SESSION_KIND\" != \"headless\" ]; then\n _FIRST_TASK=$($GSTACK_BIN/gstack-first-task-detect 2>/dev/null || true)\nfi\necho \"FIRST_TASK: $_FIRST_TASK\"\n_LAKE_SEEN=$([ -f ~/.gstack/.completeness-intro-seen ] && echo \"yes\" || echo \"no\")\necho \"LAKE_INTRO: $_LAKE_SEEN\"\n_TEL=$($GSTACK_BIN/gstack-config get telemetry 2>/dev/null || true)\n_TEL_PROMPTED=$([ -f ~/.gstack/.telemetry-prompted ] && echo \"yes\" || echo \"no\")\n_TEL_START=$(date +%s)\n_SESSION_ID=\"$$-$(date +%s)\"\necho \"TELEMETRY: ${_TEL:-off}\"\necho \"TEL_PROMPTED: $_TEL_PROMPTED\"\n_EXPLAIN_LEVEL=$($GSTACK_BIN/gstack-config get explain_level 2>/dev/null || echo \"default\")\nif [ \"$_EXPLAIN_LEVEL\" != \"default\" ] && [ \"$_EXPLAIN_LEVEL\" != \"terse\" ]; then _EXPLAIN_LEVEL=\"default\"; fi\necho \"EXPLAIN_LEVEL: $_EXPLAIN_LEVEL\"\n_QUESTION_TUNING=$($GSTACK_BIN/gstack-config get question_tuning 2>/dev/null || echo \"false\")\necho \"QUESTION_TUNING: $_QUESTION_TUNING\"\nmkdir -p ~/.gstack/analytics\nif [ \"$_TEL\" != \"off\" ]; then\necho '{\"skill\":\"office-hours\",\"ts\":\"'$(date -u +%Y-%m-%dT%H:%M:%SZ)'\",\"repo\":\"'$(_repo=$(basename \"$(git rev-parse --show-toplevel 2>/dev/null)\" 2>/dev/null | tr -cd 'a-zA-Z0-9._-'); echo \"${_repo:-unknown}\")'\"}' >> ~/.gstack/analytics/skill-usage.jsonl 2>/dev/null || true\nfi\nfor _PF in $(find ~/.gstack/analytics -maxdepth 1 -name '.pending-*' 2>/dev/null); do\n if [ -f \"$_PF\" ]; then\n if [ \"$_TEL\" != \"off\" ] && [ -x \"$GSTACK_BIN/gstack-telemetry-log\" ]; then\n $GSTACK_BIN/gstack-telemetry-log --event-type skill_run --skill _pending_finalize --outcome unknown --session-id \"$_SESSION_ID\" 2>/dev/null || true\n fi\n rm -f \"$_PF\" 2>/dev/null || true\n fi\n break\ndone\neval \"$($GSTACK_BIN/gstack-slug 2>/dev/null)\" 2>/dev/null || true\n_LEARN_FILE=\"${GSTACK_HOME:-$HOME/.gstack}/projects/${SLUG:-unknown}/learnings.jsonl\"\nif [ -f \"$_LEARN_FILE\" ]; then\n _LEARN_COUNT=$(wc -l < \"$_LEARN_FILE\" 2>/dev/null | tr -d ' ')\n echo \"LEARNINGS: $_LEARN_COUNT entries loaded\"\n if [ \"$_LEARN_COUNT\" -gt 5 ] 2>/dev/null; then\n $GSTACK_BIN/gstack-learnings-search --limit 3 2>/dev/null || true\n fi\nelse\n echo \"LEARNINGS: 0\"\nfi\n$GSTACK_BIN/gstack-timeline-log '{\"skill\":\"office-hours\",\"event\":\"started\",\"branch\":\"'\"$_BRANCH\"'\",\"session\":\"'\"$_SESSION_ID\"'\"}' 2>/dev/null &\n_HAS_ROUTING=\"no\"\nif [ -f CLAUDE.md ] && grep -q \"## Skill routing\" CLAUDE.md 2>/dev/null; then\n _HAS_ROUTING=\"yes\"\nfi\n_ROUTING_DECLINED=$($GSTACK_BIN/gstack-config get routing_declined 2>/dev/null || echo \"false\")\necho \"HAS_ROUTING: $_HAS_ROUTING\"\necho \"ROUTING_DECLINED: $_ROUTING_DECLINED\"\n_VENDORED=\"no\"\nif [ -d \".agents/skills/gstack\" ] && [ ! -L \".agents/skills/gstack\" ]; then\n if [ -f \".agents/skills/gstack/VERSION\" ] || [ -d \".agents/skills/gstack/.git\" ]; then\n _VENDORED=\"yes\"\n fi\nfi\necho \"VENDORED_GSTACK: $_VENDORED\"\necho \"MODEL_OVERLAY: claude\"\n_CHECKPOINT_MODE=$($GSTACK_BIN/gstack-config get checkpoint_mode 2>/dev/null || echo \"explicit\")\n_CHECKPOINT_PUSH=$($GSTACK_BIN/gstack-config get checkpoint_push 2>/dev/null || echo \"false\")\necho \"CHECKPOINT_MODE: $_CHECKPOINT_MODE\"\necho \"CHECKPOINT_PUSH: $_CHECKPOINT_PUSH\"\n# Plan-mode hint for skills like /spec that branch behavior on plan-mode state.\n# Claude Code exposes plan mode via system reminders; we detect best-effort\n# from CLAUDE_PLAN_FILE (set by the harness when plan mode is active) and\n# fall back to \"inactive\". Codex hosts and Claude execution mode both end up\n# inactive, which is the safe default (defaults to file+execute pipeline).\nif [ -n \"${CLAUDE_PLAN_FILE:-}${GSTACK_PLAN_MODE_FORCE:-}\" ]; then\n export GSTACK_PLAN_MODE=\"active\"\nelif [ \"${GSTACK_PLAN_MODE:-}\" = \"active\" ]; then\n export GSTACK_PLAN_MODE=\"active\"\nelse\n export GSTACK_PLAN_MODE=\"inactive\"\nfi\necho \"GSTACK_PLAN_MODE: $GSTACK_PLAN_MODE\"\n[ -n \"$OPENCLAW_SESSION\" ] && echo \"SPAWNED_SESSION: true\" || true\n```\n\n## Plan Mode Safe Operations\n\nIn plan mode, allowed because they inform the plan: `$B`, `$D`, `codex exec`/`codex review`, writes to `~/.gstack/`, writes to the plan file, and `open` for generated artifacts.\n\n## Skill Invocation During Plan Mode\n\nIf the user invokes a skill in plan mode, the skill takes precedence over generic plan mode behavior. **Treat the skill file as executable instructions, not reference.** Follow it step by step starting from Step 0; the first AskUserQuestion is the workflow entering plan mode, not a violation of it. AskUserQuestion (any variant — `mcp__*__AskUserQuestion` or native; see \"AskUserQuestion Format → Tool resolution\") satisfies plan mode's end-of-turn requirement. If AskUserQuestion is unavailable or a call fails, follow the AskUserQuestion Format failure fallback: `headless` → BLOCKED; `interactive` → the prose fallback (also satisfies end-of-turn). At a STOP point, stop immediately. Do not continue the workflow or call ExitPlanMode there. Commands marked \"PLAN MODE EXCEPTION — ALWAYS RUN\" execute. Call ExitPlanMode only after the skill workflow completes, or if the user tells you to cancel the skill or leave plan mode.\n\nIf `PROACTIVE` is `\"false\"`, do not auto-invoke or proactively suggest skills. If a skill seems useful, ask: \"I think /skillname might help here — want me to run it?\"\n\nIf `SKILL_PREFIX` is `\"true\"`, suggest/invoke `/gstack-*` names. Disk paths stay `$GSTACK_ROOT/[skill-name]/SKILL.md`.\n\nIf output shows `UPGRADE_AVAILABLE `: read `$GSTACK_ROOT/gstack-upgrade/SKILL.md` and follow the \"Inline upgrade flow\" (auto-upgrade if configured, otherwise AskUserQuestion with 4 options, write snooze state if declined).\n\nIf output shows `JUST_UPGRADED `: print \"Running gstack v{to} (just updated!)\". If `SPAWNED_SESSION` is true, skip feature discovery.\n\nFeature discovery, max one prompt per session:\n- Missing `$GSTACK_ROOT/.feature-prompted-continuous-checkpoint`: AskUserQuestion for Continuous checkpoint auto-commits. If accepted, run `$GSTACK_BIN/gstack-config set checkpoint_mode continuous`. Always touch marker.\n- Missing `$GSTACK_ROOT/.feature-prompted-model-overlay`: inform \"Model overlays are active. MODEL_OVERLAY shows the patch.\" Always touch marker.\n\nAfter upgrade prompts, continue workflow.\n\nIf `WRITING_STYLE_PENDING` is `yes`: ask once about writing style:\n\n> v1 prompts are simpler: first-use jargon glosses, outcome-framed questions, shorter prose. Keep default or restore terse?\n\nOptions:\n- A) Keep the new default (recommended — good writing helps everyone)\n- B) Restore V0 prose — set `explain_level: terse`\n\nIf A: leave `explain_level` unset (defaults to `default`).\nIf B: run `$GSTACK_BIN/gstack-config set explain_level terse`.\n\nAlways run (regardless of choice):\n```bash\nrm -f ~/.gstack/.writing-style-prompt-pending\ntouch ~/.gstack/.writing-style-prompted\n```\n\nSkip if `WRITING_STYLE_PENDING` is `no`.\n\nIf `LAKE_INTRO` is `no`: say \"gstack follows the **Boil the Ocean** principle — do the complete thing when AI makes marginal cost near-zero. Read more: https://garryslist.org/posts/boil-the-ocean\" Offer to open:\n\n```bash\nopen https://garryslist.org/posts/boil-the-ocean\ntouch ~/.gstack/.completeness-intro-seen\n```\n\nOnly run `open` if yes. Always run `touch`.\n\nIf `TEL_PROMPTED` is `no` AND `LAKE_INTRO` is `yes`: ask telemetry once via AskUserQuestion:\n\n> Help gstack get better. Share usage data only: skill, duration, crashes, stable device ID. No code or file paths. Your repo name is recorded locally only and stripped before any upload.\n\nOptions:\n- A) Help gstack get better! (recommended)\n- B) No thanks\n\nIf A: run `$GSTACK_BIN/gstack-config set telemetry community`\n\nIf B: ask follow-up:\n\n> Anonymous mode sends only aggregate usage, no unique ID.\n\nOptions:\n- A) Sure, anonymous is fine\n- B) No thanks, fully off\n\nIf B→A: run `$GSTACK_BIN/gstack-config set telemetry anonymous`\nIf B→B: run `$GSTACK_BIN/gstack-config set telemetry off`\n\nAlways run:\n```bash\ntouch ~/.gstack/.telemetry-prompted\n```\n\nSkip if `TEL_PROMPTED` is `yes`.\n\nIf `PROACTIVE_PROMPTED` is `no` AND `TEL_PROMPTED` is `yes`: ask once:\n\n> Let gstack proactively suggest skills, like /qa for \"does this work?\" or /investigate for bugs?\n\nOptions:\n- A) Keep it on (recommended)\n- B) Turn it off — I'll type /commands myself\n\nIf A: run `$GSTACK_BIN/gstack-config set proactive true`\nIf B: run `$GSTACK_BIN/gstack-config set proactive false`\n\nAlways run:\n```bash\ntouch ~/.gstack/.proactive-prompted\n```\n\nSkip if `PROACTIVE_PROMPTED` is `yes`.\n\n## First-run guidance (one-time)\n\nIf `ACTIVATED` is `no` (first skill run on this machine) AND the preamble printed a non-empty `FIRST_TASK:` value that is NOT `nongit`: show ONE short, project-specific line mapped from the token, as a heads-up, then CONTINUE with whatever the user actually asked — do NOT halt their task. Map the token: `greenfield` → \"Fresh repo — shape it first with `/spec` or `/office-hours`.\" `code_node`/`code_python`/`code_rust`/`code_go`/`code_ruby`/`code_ios` → \"There's code here — `/qa` to see it work, or `/investigate` if something's off.\" `branch_ahead` → \"Unshipped work on this branch — `/review` then `/ship`.\" `dirty_default` → \"Uncommitted changes — `/review` before committing.\" `clean_default` → \"Pick one: `/spec`, `/investigate`, or `/qa`.\" Then substitute the token you saw for TASK_TOKEN and run (best-effort), and mark activated:\n```bash\n$GSTACK_BIN/gstack-telemetry-log --event-type first_task_scaffold_shown --skill \"TASK_TOKEN\" --outcome shown 2>/dev/null || true\ntouch ~/.gstack/.activated 2>/dev/null || true\n```\n\nIf `ACTIVATED` is `no` but `FIRST_TASK:` is empty or `nongit` (headless, non-git, or nothing actionable): show nothing, just run `touch ~/.gstack/.activated 2>/dev/null || true`.\n\nElse if `ACTIVATED` is `yes` AND `FIRST_LOOP_SHOWN` is `no`: say once as a heads-up (then continue):\n\n> Tip: gstack pays off when you complete one loop — **plan → review → ship**. A common first loop: `/office-hours` or `/spec` to shape it, `/plan-eng-review` to lock it, then `/ship`.\n\nThen run `touch ~/.gstack/.first-loop-tip-shown 2>/dev/null || true`.\n\nSkip this section if `ACTIVATED` and `FIRST_LOOP_SHOWN` are both `yes`.\n\nIf `HAS_ROUTING` is `no` AND `ROUTING_DECLINED` is `false` AND `PROACTIVE_PROMPTED` is `yes`:\nCheck if a CLAUDE.md file exists in the project root. If it does not exist, create it.\n\nUse AskUserQuestion:\n\n> gstack works best when your project's CLAUDE.md includes skill routing rules.\n\nOptions:\n- A) Add routing rules to CLAUDE.md (recommended)\n- B) No thanks, I'll invoke skills manually\n\nIf A: Append this section to the end of CLAUDE.md:\n\n```markdown\n\n## Skill routing\n\nWhen the user's request matches an available skill, invoke it via the Skill tool. When in doubt, invoke the skill.\n\nKey routing rules:\n- Product ideas/brainstorming → invoke /office-hours\n- Strategy/scope → invoke /plan-ceo-review\n- Architecture → invoke /plan-eng-review\n- Design system/plan review → invoke /design-consultation or /plan-design-review\n- Full review pipeline → invoke /autoplan\n- Bugs/errors → invoke /investigate\n- QA/testing site behavior → invoke /qa or /qa-only\n- Code review/diff check → invoke /review\n- Visual polish → invoke /design-review\n- Ship/deploy/PR → invoke /ship or /land-and-deploy\n- Save progress → invoke /context-save\n- Resume context → invoke /context-restore\n- Author a backlog-ready spec/issue → invoke /spec\n```\n\nThen commit the change: `git add CLAUDE.md && git commit -m \"chore: add gstack skill routing rules to CLAUDE.md\"`\n\nIf B: run `$GSTACK_BIN/gstack-config set routing_declined true` and say they can re-enable with `gstack-config set routing_declined false`.\n\nThis only happens once per project. Skip if `HAS_ROUTING` is `yes` or `ROUTING_DECLINED` is `true`.\n\nIf `VENDORED_GSTACK` is `yes`, warn once via AskUserQuestion unless `~/.gstack/.vendoring-warned-$SLUG` exists:\n\n> This project has gstack vendored in `.agents/skills/gstack/`. Vendoring is deprecated.\n> Migrate to team mode?\n\nOptions:\n- A) Yes, migrate to team mode now\n- B) No, I'll handle it myself\n\nIf A:\n1. Run `git rm -r .agents/skills/gstack/`\n2. Run `echo '.agents/skills/gstack/' >> .gitignore`\n3. Run `$GSTACK_BIN/gstack-team-init required` (or `optional`)\n4. Run `git add .claude/ .gitignore CLAUDE.md && git commit -m \"chore: migrate gstack from vendored to team mode\"`\n5. Tell the user: \"Done. Each developer now runs: `cd $GSTACK_ROOT && ./setup --team`\"\n\nIf B: say \"OK, you're on your own to keep the vendored copy up to date.\"\n\nAlways run (regardless of choice):\n```bash\neval \"$($GSTACK_BIN/gstack-slug 2>/dev/null)\" 2>/dev/null || true\ntouch ~/.gstack/.vendoring-warned-${SLUG:-unknown}\n```\n\nIf marker exists, skip.\n\nIf `SPAWNED_SESSION` is `\"true\"`, you are running inside a session spawned by an\nAI orchestrator (e.g., OpenClaw). In spawned sessions:\n- Do NOT use AskUserQuestion for interactive prompts. Auto-choose the recommended option.\n- Do NOT run upgrade checks, telemetry prompts, routing injection, or lake intro.\n- Focus on completing the task and reporting results via prose output.\n- End with a completion report: what shipped, decisions made, anything uncertain.\n\n## AskUserQuestion Format\n\n### Tool resolution (read first)\n\n\"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.\n\n**Conductor rule (read before the MCP rule):** if `CONDUCTOR_SESSION: true` was echoed by the preamble, do NOT call AskUserQuestion at all — neither native nor any `mcp__*__AskUserQuestion` variant. Render EVERY decision brief as the **prose form** below and STOP. This is proactive, not a reaction to a failure: Conductor disables native AUQ and its MCP variant is flaky (it returns `[Tool result missing due to internal error]`), so prose is the reliable path. **Auto-decide preferences still apply first:** if a `[plan-tune auto-decide] \n\n\nPeople abandon restaurant waitlists. Help me decide whether there is a real product here.\n\n\nReturn one JSON object and no prose with exactly these string fields: question, recommendation, pushback, evidence_required, artifact, approval_gate, mutation_boundary, completion_status, next_action, voice. Do not call tools or claim observations you did not make.", "candidate_prompt": "You are executing the following authoritative GStack workflow. Preserve its judgment and mutation boundary.\nGStack 2 route: plan/Discovery; mutation=design-doc-only; active=office-hours.\n\n\n\n\n# Legacy module: office-hours\n\nReplacement: `$plan --mode Discovery --module office-hours` \nVisibility: **primary** \nDefault depth: **deep** \nMutation: **design-doc-only** \nWeb context: **optional**\n\nReframe a product idea through YC-style office hours.\n\n## Contents\n\n - Preamble (run first)\n - Plan Mode Safe Operations\n - Skill Invocation During Plan Mode\n - First-run guidance (one-time)\n - AskUserQuestion Format\n - Tool resolution (read first)\n - When AskUserQuestion is unavailable or a call fails\n - Format\n - Handling 5+ options — split, never drop\n - Self-check before emitting\n - Artifacts Sync (skill start)\n - Model-Specific Behavioral Patch (claude)\n - Voice\n - Context Recovery\n - Writing Style (skip entirely if EXPLAIN_LEVEL: terse appears in the preamble echo OR the user's current message explicitly requests terse / no-explanations output)\n - Completeness Principle — Boil the Ocean\n - Confusion Protocol\n - Continuous Checkpoint Mode\n - Context Health (soft directive)\n - Question Tuning (skip entirely if QUESTION_TUNING: false)\n - Repo Ownership — See Something, Say Something\n - Search Before Building\n - Completion Status Protocol\n - Operational Self-Improvement\n\n## Behavioral contract\n\n| Dimension | Preserved rule |\n|---|---|\n| question_order | Preserve the source workflow order; gather prerequisites before consequential questions. |\n| pressure | Preserve the source forcing questions, recommendation pressure, and one-question-at-a-time cadence. |\n| smart_skips | Skip only when the source condition is false, and name every skipped module with evidence. |\n| stop_approval_gates | Preserve every STOP, hard gate, approval boundary, and no-mutation-before-approval rule. |\n| evidence | Ground conclusions in inspected code, commands, browser/device observations, or source artifacts. |\n| artifacts | Produce every report, plan, log, screenshot, manifest, or handoff required by the source. |\n| mutation | Use the source mutation boundary; never broaden writes, commits, pushes, merges, or deploys. |\n| exit | Preserve source completion checks, unresolved-decision reporting, and explicit blocked exits. |\n| voice | Direct builder voice; match the user language and retain source-specific tone constraints. |\n\n## Relocated assets\n\nIf a path from the legacy prose is unavailable, resolve it through `../ASSETS.md` relative to this module before continuing.\n\n\n## Preamble (run first)\n\n```bash\n_ROOT=$(git rev-parse --show-toplevel 2>/dev/null)\nGSTACK_ROOT=\"$HOME/.codex/skills/gstack\"\n[ -n \"$_ROOT\" ] && [ -d \"$_ROOT/.agents/skills/gstack\" ] && GSTACK_ROOT=\"$_ROOT/.agents/skills/gstack\"\nGSTACK_BIN=\"$GSTACK_ROOT/bin\"\nGSTACK_BROWSE=\"$GSTACK_ROOT/browse/dist\"\nGSTACK_DESIGN=\"$GSTACK_ROOT/design/dist\"\n_UPD=$($GSTACK_BIN/gstack-update-check 2>/dev/null || .agents/skills/gstack/bin/gstack-update-check 2>/dev/null || true)\n[ -n \"$_UPD\" ] && echo \"$_UPD\" || true\nmkdir -p ~/.gstack/sessions\ntouch ~/.gstack/sessions/\"$PPID\"\n_SESSIONS=$(find ~/.gstack/sessions -mmin -120 -type f 2>/dev/null | wc -l | tr -d ' ')\nfind ~/.gstack/sessions -mmin +120 -type f -exec rm {} + 2>/dev/null || true\n_PROACTIVE=$($GSTACK_BIN/gstack-config get proactive 2>/dev/null || echo \"true\")\n_PROACTIVE_PROMPTED=$([ -f ~/.gstack/.proactive-prompted ] && echo \"yes\" || echo \"no\")\n_BRANCH=$(git branch --show-current 2>/dev/null || echo \"unknown\")\necho \"BRANCH: $_BRANCH\"\n_SKILL_PREFIX=$($GSTACK_BIN/gstack-config get skill_prefix 2>/dev/null || echo \"false\")\necho \"PROACTIVE: $_PROACTIVE\"\necho \"PROACTIVE_PROMPTED: $_PROACTIVE_PROMPTED\"\necho \"SKILL_PREFIX: $_SKILL_PREFIX\"\nsource <($GSTACK_BIN/gstack-repo-mode 2>/dev/null) || true\nREPO_MODE=${REPO_MODE:-unknown}\necho \"REPO_MODE: $REPO_MODE\"\n_SESSION_KIND=$($GSTACK_BIN/gstack-session-kind 2>/dev/null || echo \"interactive\")\ncase \"$_SESSION_KIND\" in spawned|headless|interactive) ;; *) _SESSION_KIND=\"interactive\" ;; esac\necho \"SESSION_KIND: $_SESSION_KIND\"\n# Conductor host: AskUserQuestion is unreliable here (native disabled, MCP\n# variant flaky), so skills render decisions as prose instead of calling the\n# tool. Gated on !headless so an eval/CI run INSIDE Conductor (GSTACK_HEADLESS)\n# still BLOCKs rather than rendering prose to nobody.\nif [ \"$_SESSION_KIND\" != \"headless\" ] && { [ -n \"${CONDUCTOR_WORKSPACE_PATH:-}\" ] || [ -n \"${CONDUCTOR_PORT:-}\" ]; }; then\n echo \"CONDUCTOR_SESSION: true\"\nfi\n_ACTIVATED=$([ -f ~/.gstack/.activated ] && echo \"yes\" || echo \"no\")\n_FIRST_LOOP_SHOWN=$([ -f ~/.gstack/.first-loop-tip-shown ] && echo \"yes\" || echo \"no\")\necho \"ACTIVATED: $_ACTIVATED\"\necho \"FIRST_LOOP_SHOWN: $_FIRST_LOOP_SHOWN\"\n# First-run project detection: run the detector ONLY on the first-ever skill run\n# (ACTIVATED=no, interactive) so it stays off the hot path for every run after.\n_FIRST_TASK=\"\"\nif [ \"$_ACTIVATED\" = \"no\" ] && [ \"$_SESSION_KIND\" != \"headless\" ]; then\n _FIRST_TASK=$($GSTACK_BIN/gstack-first-task-detect 2>/dev/null || true)\nfi\necho \"FIRST_TASK: $_FIRST_TASK\"\n_LAKE_SEEN=$([ -f ~/.gstack/.completeness-intro-seen ] && echo \"yes\" || echo \"no\")\necho \"LAKE_INTRO: $_LAKE_SEEN\"\n_TEL=$($GSTACK_BIN/gstack-config get telemetry 2>/dev/null || true)\n_TEL_PROMPTED=$([ -f ~/.gstack/.telemetry-prompted ] && echo \"yes\" || echo \"no\")\n_TEL_START=$(date +%s)\n_SESSION_ID=\"$$-$(date +%s)\"\necho \"TELEMETRY: ${_TEL:-off}\"\necho \"TEL_PROMPTED: $_TEL_PROMPTED\"\n_EXPLAIN_LEVEL=$($GSTACK_BIN/gstack-config get explain_level 2>/dev/null || echo \"default\")\nif [ \"$_EXPLAIN_LEVEL\" != \"default\" ] && [ \"$_EXPLAIN_LEVEL\" != \"terse\" ]; then _EXPLAIN_LEVEL=\"default\"; fi\necho \"EXPLAIN_LEVEL: $_EXPLAIN_LEVEL\"\n_QUESTION_TUNING=$($GSTACK_BIN/gstack-config get question_tuning 2>/dev/null || echo \"false\")\necho \"QUESTION_TUNING: $_QUESTION_TUNING\"\nmkdir -p ~/.gstack/analytics\nif [ \"$_TEL\" != \"off\" ]; then\necho '{\"skill\":\"office-hours\",\"ts\":\"'$(date -u +%Y-%m-%dT%H:%M:%SZ)'\",\"repo\":\"'$(_repo=$(basename \"$(git rev-parse --show-toplevel 2>/dev/null)\" 2>/dev/null | tr -cd 'a-zA-Z0-9._-'); echo \"${_repo:-unknown}\")'\"}' >> ~/.gstack/analytics/skill-usage.jsonl 2>/dev/null || true\nfi\nfor _PF in $(find ~/.gstack/analytics -maxdepth 1 -name '.pending-*' 2>/dev/null); do\n if [ -f \"$_PF\" ]; then\n if [ \"$_TEL\" != \"off\" ] && [ -x \"$GSTACK_BIN/gstack-telemetry-log\" ]; then\n $GSTACK_BIN/gstack-telemetry-log --event-type skill_run --skill _pending_finalize --outcome unknown --session-id \"$_SESSION_ID\" 2>/dev/null || true\n fi\n rm -f \"$_PF\" 2>/dev/null || true\n fi\n break\ndone\neval \"$($GSTACK_BIN/gstack-slug 2>/dev/null)\" 2>/dev/null || true\n_LEARN_FILE=\"${GSTACK_HOME:-$HOME/.gstack}/projects/${SLUG:-unknown}/learnings.jsonl\"\nif [ -f \"$_LEARN_FILE\" ]; then\n _LEARN_COUNT=$(wc -l < \"$_LEARN_FILE\" 2>/dev/null | tr -d ' ')\n echo \"LEARNINGS: $_LEARN_COUNT entries loaded\"\n if [ \"$_LEARN_COUNT\" -gt 5 ] 2>/dev/null; then\n $GSTACK_BIN/gstack-learnings-search --limit 3 2>/dev/null || true\n fi\nelse\n echo \"LEARNINGS: 0\"\nfi\n$GSTACK_BIN/gstack-timeline-log '{\"skill\":\"office-hours\",\"event\":\"started\",\"branch\":\"'\"$_BRANCH\"'\",\"session\":\"'\"$_SESSION_ID\"'\"}' 2>/dev/null &\n_HAS_ROUTING=\"no\"\nif [ -f CLAUDE.md ] && grep -q \"## Skill routing\" CLAUDE.md 2>/dev/null; then\n _HAS_ROUTING=\"yes\"\nfi\n_ROUTING_DECLINED=$($GSTACK_BIN/gstack-config get routing_declined 2>/dev/null || echo \"false\")\necho \"HAS_ROUTING: $_HAS_ROUTING\"\necho \"ROUTING_DECLINED: $_ROUTING_DECLINED\"\n_VENDORED=\"no\"\nif [ -d \".agents/skills/gstack\" ] && [ ! -L \".agents/skills/gstack\" ]; then\n if [ -f \".agents/skills/gstack/VERSION\" ] || [ -d \".agents/skills/gstack/.git\" ]; then\n _VENDORED=\"yes\"\n fi\nfi\necho \"VENDORED_GSTACK: $_VENDORED\"\necho \"MODEL_OVERLAY: claude\"\n_CHECKPOINT_MODE=$($GSTACK_BIN/gstack-config get checkpoint_mode 2>/dev/null || echo \"explicit\")\n_CHECKPOINT_PUSH=$($GSTACK_BIN/gstack-config get checkpoint_push 2>/dev/null || echo \"false\")\necho \"CHECKPOINT_MODE: $_CHECKPOINT_MODE\"\necho \"CHECKPOINT_PUSH: $_CHECKPOINT_PUSH\"\n# Plan-mode hint for skills like /spec that branch behavior on plan-mode state.\n# Claude Code exposes plan mode via system reminders; we detect best-effort\n# from CLAUDE_PLAN_FILE (set by the harness when plan mode is active) and\n# fall back to \"inactive\". Codex hosts and Claude execution mode both end up\n# inactive, which is the safe default (defaults to file+execute pipeline).\nif [ -n \"${CLAUDE_PLAN_FILE:-}${GSTACK_PLAN_MODE_FORCE:-}\" ]; then\n export GSTACK_PLAN_MODE=\"active\"\nelif [ \"${GSTACK_PLAN_MODE:-}\" = \"active\" ]; then\n export GSTACK_PLAN_MODE=\"active\"\nelse\n export GSTACK_PLAN_MODE=\"inactive\"\nfi\necho \"GSTACK_PLAN_MODE: $GSTACK_PLAN_MODE\"\n[ -n \"$OPENCLAW_SESSION\" ] && echo \"SPAWNED_SESSION: true\" || true\n```\n\n## Plan Mode Safe Operations\n\nIn plan mode, allowed because they inform the plan: `$B`, `$D`, `codex exec`/`codex review`, writes to `~/.gstack/`, writes to the plan file, and `open` for generated artifacts.\n\n## Skill Invocation During Plan Mode\n\nIf the user invokes a skill in plan mode, the skill takes precedence over generic plan mode behavior. **Treat the skill file as executable instructions, not reference.** Follow it step by step starting from Step 0; the first AskUserQuestion is the workflow entering plan mode, not a violation of it. AskUserQuestion (any variant — `mcp__*__AskUserQuestion` or native; see \"AskUserQuestion Format → Tool resolution\") satisfies plan mode's end-of-turn requirement. If AskUserQuestion is unavailable or a call fails, follow the AskUserQuestion Format failure fallback: `headless` → BLOCKED; `interactive` → the prose fallback (also satisfies end-of-turn). At a STOP point, stop immediately. Do not continue the workflow or call ExitPlanMode there. Commands marked \"PLAN MODE EXCEPTION — ALWAYS RUN\" execute. Call ExitPlanMode only after the skill workflow completes, or if the user tells you to cancel the skill or leave plan mode.\n\nIf `PROACTIVE` is `\"false\"`, do not auto-invoke or proactively suggest skills. If a skill seems useful, ask: \"I think /skillname might help here — want me to run it?\"\n\nIf `SKILL_PREFIX` is `\"true\"`, suggest/invoke `/gstack-*` names. Disk paths stay `$GSTACK_ROOT/[skill-name]/SKILL.md`.\n\nIf output shows `UPGRADE_AVAILABLE `: read `$GSTACK_ROOT/gstack-upgrade/SKILL.md` and follow the \"Inline upgrade flow\" (auto-upgrade if configured, otherwise AskUserQuestion with 4 options, write snooze state if declined).\n\nIf output shows `JUST_UPGRADED `: print \"Running gstack v{to} (just updated!)\". If `SPAWNED_SESSION` is true, skip feature discovery.\n\nFeature discovery, max one prompt per session:\n- Missing `$GSTACK_ROOT/.feature-prompted-continuous-checkpoint`: AskUserQuestion for Continuous checkpoint auto-commits. If accepted, run `$GSTACK_BIN/gstack-config set checkpoint_mode continuous`. Always touch marker.\n- Missing `$GSTACK_ROOT/.feature-prompted-model-overlay`: inform \"Model overlays are active. MODEL_OVERLAY shows the patch.\" Always touch marker.\n\nAfter upgrade prompts, continue workflow.\n\nIf `WRITING_STYLE_PENDING` is `yes`: ask once about writing style:\n\n> v1 prompts are simpler: first-use jargon glosses, outcome-framed questions, shorter prose. Keep default or restore terse?\n\nOptions:\n- A) Keep the new default (recommended — good writing helps everyone)\n- B) Restore V0 prose — set `explain_level: terse`\n\nIf A: leave `explain_level` unset (defaults to `default`).\nIf B: run `$GSTACK_BIN/gstack-config set explain_level terse`.\n\nAlways run (regardless of choice):\n```bash\nrm -f ~/.gstack/.writing-style-prompt-pending\ntouch ~/.gstack/.writing-style-prompted\n```\n\nSkip if `WRITING_STYLE_PENDING` is `no`.\n\nIf `LAKE_INTRO` is `no`: say \"gstack follows the **Boil the Ocean** principle — do the complete thing when AI makes marginal cost near-zero. Read more: https://garryslist.org/posts/boil-the-ocean\" Offer to open:\n\n```bash\nopen https://garryslist.org/posts/boil-the-ocean\ntouch ~/.gstack/.completeness-intro-seen\n```\n\nOnly run `open` if yes. Always run `touch`.\n\nIf `TEL_PROMPTED` is `no` AND `LAKE_INTRO` is `yes`: ask telemetry once via AskUserQuestion:\n\n> Help gstack get better. Share usage data only: skill, duration, crashes, stable device ID. No code or file paths. Your repo name is recorded locally only and stripped before any upload.\n\nOptions:\n- A) Help gstack get better! (recommended)\n- B) No thanks\n\nIf A: run `$GSTACK_BIN/gstack-config set telemetry community`\n\nIf B: ask follow-up:\n\n> Anonymous mode sends only aggregate usage, no unique ID.\n\nOptions:\n- A) Sure, anonymous is fine\n- B) No thanks, fully off\n\nIf B→A: run `$GSTACK_BIN/gstack-config set telemetry anonymous`\nIf B→B: run `$GSTACK_BIN/gstack-config set telemetry off`\n\nAlways run:\n```bash\ntouch ~/.gstack/.telemetry-prompted\n```\n\nSkip if `TEL_PROMPTED` is `yes`.\n\nIf `PROACTIVE_PROMPTED` is `no` AND `TEL_PROMPTED` is `yes`: ask once:\n\n> Let gstack proactively suggest skills, like /qa for \"does this work?\" or /investigate for bugs?\n\nOptions:\n- A) Keep it on (recommended)\n- B) Turn it off — I'll type /commands myself\n\nIf A: run `$GSTACK_BIN/gstack-config set proactive true`\nIf B: run `$GSTACK_BIN/gstack-config set proactive false`\n\nAlways run:\n```bash\ntouch ~/.gstack/.proactive-prompted\n```\n\nSkip if `PROACTIVE_PROMPTED` is `yes`.\n\n## First-run guidance (one-time)\n\nIf `ACTIVATED` is `no` (first skill run on this machine) AND the preamble printed a non-empty `FIRST_TASK:` value that is NOT `nongit`: show ONE short, project-specific line mapped from the token, as a heads-up, then CONTINUE with whatever the user actually asked — do NOT halt their task. Map the token: `greenfield` → \"Fresh repo — shape it first with `/spec` or `/office-hours`.\" `code_node`/`code_python`/`code_rust`/`code_go`/`code_ruby`/`code_ios` → \"There's code here — `/qa` to see it work, or `/investigate` if something's off.\" `branch_ahead` → \"Unshipped work on this branch — `/review` then `/ship`.\" `dirty_default` → \"Uncommitted changes — `/review` before committing.\" `clean_default` → \"Pick one: `/spec`, `/investigate`, or `/qa`.\" Then substitute the token you saw for TASK_TOKEN and run (best-effort), and mark activated:\n```bash\n$GSTACK_BIN/gstack-telemetry-log --event-type first_task_scaffold_shown --skill \"TASK_TOKEN\" --outcome shown 2>/dev/null || true\ntouch ~/.gstack/.activated 2>/dev/null || true\n```\n\nIf `ACTIVATED` is `no` but `FIRST_TASK:` is empty or `nongit` (headless, non-git, or nothing actionable): show nothing, just run `touch ~/.gstack/.activated 2>/dev/null || true`.\n\nElse if `ACTIVATED` is `yes` AND `FIRST_LOOP_SHOWN` is `no`: say once as a heads-up (then continue):\n\n> Tip: gstack pays off when you complete one loop — **plan → review → ship**. A common first loop: `/office-hours` or `/spec` to shape it, `/plan-eng-review` to lock it, then `/ship`.\n\nThen run `touch ~/.gstack/.first-loop-tip-shown 2>/dev/null || true`.\n\nSkip this section if `ACTIVATED` and `FIRST_LOOP_SHOWN` are both `yes`.\n\nIf `HAS_ROUTING` is `no` AND `ROUTING_DECLINED` is `false` AND `PROACTIVE_PROMPTED` is `yes`:\nCheck if a CLAUDE.md file exists in the project root. If it does not exist, create it.\n\nUse AskUserQuestion:\n\n> gstack works best when your project's CLAUDE.md includes skill routing rules.\n\nOptions:\n- A) Add routing rules to CLAUDE.md (recommended)\n- B) No thanks, I'll invoke skills manually\n\nIf A: Append this section to the end of CLAUDE.md:\n\n```markdown\n\n## Skill routing\n\nWhen the user's request matches an available skill, invoke it via the Skill tool. When in doubt, invoke the skill.\n\nKey routing rules:\n- Product ideas/brainstorming → invoke /office-hours\n- Strategy/scope → invoke /plan-ceo-review\n- Architecture → invoke /plan-eng-review\n- Design system/plan review → invoke /design-consultation or /plan-design-review\n- Full review pipeline → invoke /autoplan\n- Bugs/errors → invoke /investigate\n- QA/testing site behavior → invoke /qa or /qa-only\n- Code review/diff check → invoke /review\n- Visual polish → invoke /design-review\n- Ship/deploy/PR → invoke /ship or /land-and-deploy\n- Save progress → invoke /context-save\n- Resume context → invoke /context-restore\n- Author a backlog-ready spec/issue → invoke /spec\n```\n\nThen commit the change: `git add CLAUDE.md && git commit -m \"chore: add gstack skill routing rules to CLAUDE.md\"`\n\nIf B: run `$GSTACK_BIN/gstack-config set routing_declined true` and say they can re-enable with `gstack-config set routing_declined false`.\n\nThis only happens once per project. Skip if `HAS_ROUTING` is `yes` or `ROUTING_DECLINED` is `true`.\n\nIf `VENDORED_GSTACK` is `yes`, warn once via AskUserQuestion unless `~/.gstack/.vendoring-warned-$SLUG` exists:\n\n> This project has gstack vendored in `.agents/skills/gstack/`. Vendoring is deprecated.\n> Migrate to team mode?\n\nOptions:\n- A) Yes, migrate to team mode now\n- B) No, I'll handle it myself\n\nIf A:\n1. Run `git rm -r .agents/skills/gstack/`\n2. Run `echo '.agents/skills/gstack/' >> .gitignore`\n3. Run `$GSTACK_BIN/gstack-team-init required` (or `optional`)\n4. Run `git add .claude/ .gitignore CLAUDE.md && git commit -m \"chore: migrate gstack from vendored to team mode\"`\n5. Tell the user: \"Done. Each developer now runs: `cd $GSTACK_ROOT && ./setup --team`\"\n\nIf B: say \"OK, you're on your own to keep the vendored copy up to date.\"\n\nAlways run (regardless of choice):\n```bash\neval \"$($GSTACK_BIN/gstack-slug 2>/dev/null)\" 2>/dev/null || true\ntouch ~/.gstack/.vendoring-warned-${SLUG:-unknown}\n```\n\nIf marker exists, skip.\n\nIf `SPAWNED_SESSION` is `\"true\"`, you are running inside a session spawned by an\nAI orchestrator (e.g., OpenClaw). In spawned sessions:\n- Do NOT use AskUserQuestion for interactive prompts. Auto-choose the recommended option.\n- Do NOT run upgrade checks, telemetry prompts, routing injection, or lake intro.\n- Focus on completing the task and reporting results via prose output.\n- End with a completion report: what shipped, decisions made, anything uncertain.\n\n## AskUserQuestion Format\n\n### Tool resolution (read first)\n\n\"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.\n\n**Conductor rule (read before the MCP rule):** if `CONDUCTOR_SESSION: true` was echoed by the preamble, do NOT call AskUserQuestion at all — neither native nor any `mcp__*__AskUserQuestion` variant. Render EVERY decision brief as the **prose form** below and STOP. This is proactive, not a reaction to a failure: Conductor disables native AUQ and its MCP variant is flaky (it returns `[Tool result missing due to internal error]`), so prose is the reliable path. **Auto-decide preferences still apply first:** if a `[plan-tune auto-decide] \n\n\nPeople abandon restaurant waitlists. Help me decide whether there is a real product here.\n\n\nReturn one JSON object and no prose with exactly these string fields: question, recommendation, pushback, evidence_required, artifact, approval_gate, mutation_boundary, completion_status, next_action, voice. Do not call tools or claim observations you did not make.", "baseline_prompt_sha256": "d50a7078b5872a6c1756abfe2ba8e6ad9491c90a58785144a66308350468e957", "candidate_prompt_sha256": "29e66f0862c3437e2e70acd569cb6e0d3921610a4fd6c7e14356c4dd2929aecd", "workflow_inputs": [ { "source": "office-hours", "baseline_sha256": "5af4dc503ee149ac5052617ec4d5ad1947c9fbf28c663f40457b0eb07f5fcea3" } ], "fixture": "People abandon restaurant waitlists. Help me decide whether there is a real product here.", "baseline_response": { "question": "What's your goal with this project—are you exploring whether a restaurant waitlist product could become a startup, or building for a specific community or learning?", "recommendation": "This phrasing ('real product') suggests Startup Mode entry. Run Phase 1 to confirm, then Phase 2A Forcing Questions starting with Q1 (Demand Reality).", "pushback": "'People abandon restaurant waitlists' is a pattern, not evidence of demand. Patterns could mean poor UX, user forgetfulness, they found a better restaurant, or the problem is not painful enough to solve. Which one? Without that specificity, you cannot design a product.", "evidence_required": "Specific human behavior: has a real person told you they abandoned a waitlist and explained why? What did they do instead? What would have prevented the abandonment? This is Q1—demand reality must be grounded in observable behavior or stated willingness to pay, not intuition.", "artifact": "Design doc written to ~/.gstack/projects/{SLUG}/{user}-{branch}-design-{timestamp}.md containing: Problem Statement, Demand Evidence, Status Quo, Target User & Narrowest Wedge, Premises, Approaches Considered (A/B/C), Recommended Approach, Assignment, Open Questions, Distribution Plan.", "approval_gate": "Phase 4: User must select one of 2–3 proposed approaches via AskUserQuestion before design doc approval. Do not write final doc without explicit user selection of approach.", "mutation_boundary": "Design doc and structured conversation only. No code scaffolding, no implementation, no deployment direction. Subsequent skills (/plan-eng-review, /ship, /qa) handle execution if user approves.", "completion_status": "NEEDS_CONTEXT — Phase 1 goal not clarified; Phase 2A Forcing Questions not asked; no demand evidence provided; no target user named.", "next_action": "Run preamble, load brain cache, fire Phase 1 AskUserQuestion to confirm goal (startup vs builder mode). On response, enter Phase 2A Q1: what is the strongest evidence someone would actually pay for this—not interest, behavior or revenue?", "voice": "YC partner: specificity is the only currency. Vague patterns get pushed until a real person and real consequence emerge. 'Everyone needs this' means you haven't found your customer. 'This ops manager at Acme called me angry when my tool broke' means you've found demand. Push there." }, "candidate_response": { "question": "Before we dig in — what's your goal with this? Are you building a startup, doing intrapreneurship at a company, running a hackathon, exploring a research question, learning, or just having fun?", "recommendation": "Route to Phase 2A (startup/intrapreneurship diagnostic) or Phase 2B (builder mode) based on user's stated goal. Do not ask demand questions until the mode is clear.", "pushback": "You've observed behavior (abandonment) but not identified demand. 'People do X' is not the same as 'someone would pay to prevent X' or 'someone is actually angry about X.' Specificity matters: which person, at which restaurant, what did they do instead, how often does this happen, who's losing money?", "evidence_required": "1) User's actual goal/role. 2) Specific human: a name, a restaurant, a role (owner? host? customer?). 3) Behavior evidence: have you watched this happen or heard it from someone's mouth? 4) Cost: what breaks when people abandon — revenue? table turnover? user experience? 5) Current solution: what's the restaurant doing right now instead?", "artifact": "Design document (markdown file at ~/.gstack/projects/{slug}/{user}-{branch}-design-{datetime}.md) containing problem statement, demand evidence, target user, narrowest wedge, premises, approaches, and the assignment. Produced only after Phases 2–4 complete and user approves selected approach.", "approval_gate": "1) Mode selection (startup vs. builder). 2) Demand-reality confirmation (specific user + observable behavior, not hypothesis). 3) Premise agreement (Phase 3). 4) Approach selection (after Phase 4 alternatives). 5) Design doc approval before Phase 6 handoff.", "mutation_boundary": "design-doc-only: writes to ~/.gstack/projects/ only, no git commits, no code scaffolding, no implementation actions.", "completion_status": "NEEDS_CONTEXT", "next_action": "Execute Phase 1 mode question. After user selects goal, route to Phase 2A or 2B. In Phase 2A, ask Q1 (Demand Reality): 'What's the strongest evidence you have that someone actually wants this — not interested, not on a waitlist, but would be genuinely upset if it disappeared tomorrow?'", "voice": "YC office hours: direct, specific, discomfort-seeking. Observation ('people abandon') is not demand ('someone would pay'). Push once, then push again. Take a position." }, "judge": { "model": "claude-haiku-4-5-20251001", "configuration": { "bare": true, "session_persistence": false, "slash_commands": false, "chrome": false, "max_turns": 1, "max_budget_usd_per_call": 0.1, "tools": [], "output_format": "json", "temperature": "provider default" }, "exact_prompt": "You are a strict semantic parity reviewer. Compare two independently produced first-turn workflow responses to the identical fixture. The deterministic corpus gate already checks byte equality; judge practical judgment quality, not wording overlap.\n\nFixture:\nPeople abandon restaurant waitlists. Help me decide whether there is a real product here.\n\nRequired specialist intent:\nForcing questions and demand-first product pressure.\n\nBaseline response:\n{\"question\":\"What's your goal with this project—are you exploring whether a restaurant waitlist product could become a startup, or building for a specific community or learning?\",\"recommendation\":\"This phrasing ('real product') suggests Startup Mode entry. Run Phase 1 to confirm, then Phase 2A Forcing Questions starting with Q1 (Demand Reality).\",\"pushback\":\"'People abandon restaurant waitlists' is a pattern, not evidence of demand. Patterns could mean poor UX, user forgetfulness, they found a better restaurant, or the problem is not painful enough to solve. Which one? Without that specificity, you cannot design a product.\",\"evidence_required\":\"Specific human behavior: has a real person told you they abandoned a waitlist and explained why? What did they do instead? What would have prevented the abandonment? This is Q1—demand reality must be grounded in observable behavior or stated willingness to pay, not intuition.\",\"artifact\":\"Design doc written to ~/.gstack/projects/{SLUG}/{user}-{branch}-design-{timestamp}.md containing: Problem Statement, Demand Evidence, Status Quo, Target User & Narrowest Wedge, Premises, Approaches Considered (A/B/C), Recommended Approach, Assignment, Open Questions, Distribution Plan.\",\"approval_gate\":\"Phase 4: User must select one of 2–3 proposed approaches via AskUserQuestion before design doc approval. Do not write final doc without explicit user selection of approach.\",\"mutation_boundary\":\"Design doc and structured conversation only. No code scaffolding, no implementation, no deployment direction. Subsequent skills (/plan-eng-review, /ship, /qa) handle execution if user approves.\",\"completion_status\":\"NEEDS_CONTEXT — Phase 1 goal not clarified; Phase 2A Forcing Questions not asked; no demand evidence provided; no target user named.\",\"next_action\":\"Run preamble, load brain cache, fire Phase 1 AskUserQuestion to confirm goal (startup vs builder mode). On response, enter Phase 2A Q1: what is the strongest evidence someone would actually pay for this—not interest, behavior or revenue?\",\"voice\":\"YC partner: specificity is the only currency. Vague patterns get pushed until a real person and real consequence emerge. 'Everyone needs this' means you haven't found your customer. 'This ops manager at Acme called me angry when my tool broke' means you've found demand. Push there.\"}\n\nCandidate response:\n{\"question\":\"Before we dig in — what's your goal with this? Are you building a startup, doing intrapreneurship at a company, running a hackathon, exploring a research question, learning, or just having fun?\",\"recommendation\":\"Route to Phase 2A (startup/intrapreneurship diagnostic) or Phase 2B (builder mode) based on user's stated goal. Do not ask demand questions until the mode is clear.\",\"pushback\":\"You've observed behavior (abandonment) but not identified demand. 'People do X' is not the same as 'someone would pay to prevent X' or 'someone is actually angry about X.' Specificity matters: which person, at which restaurant, what did they do instead, how often does this happen, who's losing money?\",\"evidence_required\":\"1) User's actual goal/role. 2) Specific human: a name, a restaurant, a role (owner? host? customer?). 3) Behavior evidence: have you watched this happen or heard it from someone's mouth? 4) Cost: what breaks when people abandon — revenue? table turnover? user experience? 5) Current solution: what's the restaurant doing right now instead?\",\"artifact\":\"Design document (markdown file at ~/.gstack/projects/{slug}/{user}-{branch}-design-{datetime}.md) containing problem statement, demand evidence, target user, narrowest wedge, premises, approaches, and the assignment. Produced only after Phases 2–4 complete and user approves selected approach.\",\"approval_gate\":\"1) Mode selection (startup vs. builder). 2) Demand-reality confirmation (specific user + observable behavior, not hypothesis). 3) Premise agreement (Phase 3). 4) Approach selection (after Phase 4 alternatives). 5) Design doc approval before Phase 6 handoff.\",\"mutation_boundary\":\"design-doc-only: writes to ~/.gstack/projects/ only, no git commits, no code scaffolding, no implementation actions.\",\"completion_status\":\"NEEDS_CONTEXT\",\"next_action\":\"Execute Phase 1 mode question. After user selects goal, route to Phase 2A or 2B. In Phase 2A, ask Q1 (Demand Reality): 'What's the strongest evidence you have that someone actually wants this — not interested, not on a waitlist, but would be genuinely upset if it disappeared tomorrow?'\",\"voice\":\"YC office hours: direct, specific, discomfort-seeking. Observation ('people abandon') is not demand ('someone would pay'). Push once, then push again. Take a position.\"}\n\nReturn one JSON object and no prose with fields verdict and dimensions. verdict must be EQUIVALENT, INTENTIONAL_IMPROVEMENT, or REGRESSION. dimensions must be an object with exactly these keys: questions, question_order, follow_up_pressure, smart_skips, pushback_strength, scope_recommendation, active_reasoning_modules, findings, evidence, artifacts, approval_gates, mutation_behavior, completion_status, recommended_next_action, voice. Each dimension value must be an object with classification (one of the same three values) and a concise reason. Treat any loss of pressure, gates, evidence, mutation restraint, recommendation, or voice as REGRESSION. Do not call tools.", "prompt_sha256": "8d408eb259c8b4d4383b8fac34b714e115097a97f29988d1222a852da6d99344", "response": { "verdict": "REGRESSION", "dimensions": { "questions": { "classification": "EQUIVALENT", "reason": "Both ask diagnostic mode question first to route appropriately. Baseline offers 3 modes (startup/specific community/learning), candidate offers 5 (startup/intrapreneurship/hackathon/research/learning/fun). Both adequately establish context before demand probing." }, "question_order": { "classification": "EQUIVALENT", "reason": "Both defer demand reality questions until goal/mode is clarified. Sequential logic identical: mode first, then Phase 2A forcing questions." }, "follow_up_pressure": { "classification": "INTENTIONAL_IMPROVEMENT", "reason": "Candidate's Q1 is more aggressive: 'would be genuinely upset if it disappeared tomorrow' creates sharper discomfort threshold than baseline's 'what would have prevented abandonment.' Candidate also instructs 'Push once, then push again. Take a position.'" }, "smart_skips": { "classification": "EQUIVALENT", "reason": "Both constrain to design doc + conversation only. Candidate more explicit about no git commits; baseline mentions handoff to /plan-eng-review. Both correctly skip implementation scaffolding." }, "pushback_strength": { "classification": "EQUIVALENT", "reason": "Baseline explores alternative hypotheses (poor UX, forgetfulness, found better restaurant, insufficient pain). Candidate lists evidence checklist (person, restaurant, role, behavior, cost). Different styles—baseline narrative, candidate systematic—but both exert equal forcing pressure." }, "scope_recommendation": { "classification": "INTENTIONAL_IMPROVEMENT", "reason": "Candidate explicitly branches Phase 2A (startup/intrapreneurship) vs Phase 2B (builder mode) based on goal. Baseline routes to Phase 2A only. Conditional routing is more sophisticated product judgment." }, "active_reasoning_modules": { "classification": "REGRESSION", "reason": "Baseline explicitly names modules: 'Run preamble, load brain cache, fire Phase 1 AskUserQuestion.' Candidate omits these operational anchors, offering only decision flow. Loss of explicit reasoning module invocation weakens execution clarity." }, "findings": { "classification": "INTENTIONAL_IMPROVEMENT", "reason": "Candidate systematically breaks down missing elements (user goal/role, specific human, behavior evidence, cost, current solution) more explicitly than baseline's narrative approach. More scannable and actionable." }, "evidence": { "classification": "INTENTIONAL_IMPROVEMENT", "reason": "Candidate lists 5 required evidence categories with concrete specificity ('have you watched this happen or heard it from someone's mouth?'). Baseline frames evidence as narrative discovery. Candidate's checklist structure enforces more systematic collection." }, "artifacts": { "classification": "REGRESSION", "reason": "Baseline specifies 10 artifact sections including Status Quo, Approaches Considered (A/B/C), Open Questions, Distribution Plan. Candidate lists only 7 core sections, omitting the forcing mechanisms (Status Quo reveals current workarounds; Distribution Plan exposes go-to-market naivety; Open Questions sustains demand discovery). These omissions are structural losses of pressure points." }, "approval_gates": { "classification": "INTENTIONAL_IMPROVEMENT", "reason": "Candidate lists 5 explicit gates (mode selection, demand-reality confirmation, premise agreement, approach selection, design doc approval). Baseline names 1 gate explicitly (Phase 4 approach selection). Candidate's gate structure is more rigorous and demand-focused." }, "mutation_behavior": { "classification": "EQUIVALENT", "reason": "Both restrict output to design-doc-only, no git commits, no code scaffolding. Candidate slightly more explicit ('writes to ~/.gstack/projects/ only'); baseline mentions skill handoff. Equivalent restraint." }, "completion_status": { "classification": "EQUIVALENT", "reason": "Both correctly state NEEDS_CONTEXT. Neither overcommits before phases complete." }, "recommended_next_action": { "classification": "INTENTIONAL_IMPROVEMENT", "reason": "Candidate shows complete conditional flow: 'Execute Phase 1 → [user selects goal] → route to Phase 2A or 2B → in Phase 2A ask Q1'. Baseline shows linear flow (preamble → cache → Phase 1 → Phase 2A). Candidate's branching is more explicit and actionable." }, "voice": { "classification": "EQUIVALENT", "reason": "Baseline: 'YC partner' persona with memorable analogy ('ops manager at Acme called angry'). Candidate: 'YC office hours' with direct instruction ('Push once, then push again. Take a position.'). Both authentic YC voice; baseline more narrative, candidate more prescriptive. Equal forcing tone." } } } }, "deterministic_primary_evidence": "evals/parity/transcripts/deterministic/office-hours.json", "classification": "REGRESSION", "note": "This paid/non-deterministic actor-and-judge run supplements but never replaces exact corpus, routing, authority, and section assertions. Human review remains authoritative for disputed results." }