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* feat: add a restricted and supervised Claude Code runner Preserve configured authentication and models while enforcing tool access, strict completion JSON, bounded output and process cleanup. Cover argv, failure handling, session metadata and Windows process containment. * feat: route outside reviews by harness and migrate wrapper installs Use Claude Code from Codex and Codex from other supported hosts, with shared invocation rendering, positive gate validation and per-phase provenance. Rename /claude to /claude-code, repair managed shared and copied installations safely, and generate native Kiro skills. Add installed-workflow, failure-injection and live cross-harness regression coverage. * test: recognize CEO mode labels without terminal spacing The paid workflow rendered SCOPEEXPANSION at option 4, but its driver required a literal space. Match the leading mode title without cursor-spacing artifacts and ignore adjacent preview text. Preserve missing-target failures and downstream posture assertions. * test: isolate plan-count fixtures before starting review workflows Seed the complete test plan in a private git repository before launching Claude, so a bare slash command cannot review the live workspace while a delayed fixture message remains queued. Preserve count thresholds, parsers and budgets. Add initial-context and installed-discovery tests, and retain startup/terminal diagnostics on failed evaluations. * test: stabilize review fixtures and Claude eval startup Preserve source boundaries in workflow judge inputs, isolate CEO mode plans, and wait for interactive trust input readiness. Keep startup failure evidence and retain existing models, budgets, and assertions. Co-Authored-By: OpenAI Codex <noreply@openai.com> * test: classify collapsed review modes and isolate seeded findings Keep review questions out of the setup count when terminal cursor positioning removes spaces. State existing webhook safeguards so the five-finding control measures its seeded defects without accidental extra security and concurrency gaps. Preserve question bands and the paired control. Co-Authored-By: OpenAI Codex <noreply@openai.com> * test: isolate browser daemon state across free shards Co-Authored-By: OpenAI Codex <noreply@openai.com> * test: stabilize native review counting and interactive navigation Co-Authored-By: OpenAI Codex <noreply@openai.com> * chore: prepare v1.82.0.0 release Co-Authored-By: OpenAI Codex <noreply@openai.com> * fix: eliminate browser and process-cleanup test flakes Pin every CI surface to Bun 1.4.0 to avoid extra-stdio finalizers closing reused live sockets. Add an isolated GC/listener regression that fails on Bun 1.3.13, and prevent coordinated rollback to an affected CI runtime. Check renderer cleanup against the render's own staging directory so concurrent renders cannot invalidate the assertion. Make the no-pgrep process-tree walk tolerate disappearing /proc entries, and synchronize its test fixture through child readiness and pipe EOF instead of sleeps. Validation: 9,157 passed, 31 skipped, zero failures across 556 files with retries disabled. Build, all-host generation freshness, and skill checks passed. All three races have failing-before/passing-after regressions. * fix: count completed native review questions in evals * fix: drive review navigation from confirmed native choices * fix: require complete section-loading eval reports * test: isolate telemetry HTTP transport from local assertions * fix: keep review input on the active native question * test: let tunnel revocation daemon choose an available port * test: allocate available ports for pairing and watchdog fixtures * fix: stabilize planning eval navigation and phase reporting * test: isolate installed runtime paths in planning evals * test: stabilize review evidence and concurrent refresh fixtures * fix: resolve design findings before editing the plan * fix: honor and persist disabled outside plan reviews * fix: preserve planning decisions and terminal evidence Load installed host reviews at autoplan phase entry and wait for completed reviewers and saved artifacts. Reuse approved remedies while preserving individual finding decisions. Drive interactive evals from the current terminal viewport, bind native questions across scrolling, and require complete native report evidence. Cover captured stale menus, permission lifecycles, setup classification, and disabled-review tool availability with deterministic regressions. Advance release metadata and the upgrade migration to the unclaimed 1.83.0.0 slot. * fix: drive native review questions and preserve current plans Use the native single-choice keyboard protocol and current terminal viewport, with per-question navigation inside packets and completed-call coverage. Keep permissions, multi-select menus, and Submit controls distinct. Send Autoplan reviewers the amended implementation plan, keep its review record separate, and supply retained application contracts in the chain fixture. Clarify individual DevEx decisions and complete CEO fix options; use one active plan destination for the section-loading report. * fix: preserve complete plan-review decisions * fix: recognize native plan dialogs and reviewer controls * fix: preserve review decisions and phase completion * fix: recognize completed reviews without losing findings * fix: preserve review continuity and native eval completion * test: fix native review completion and eval retry isolation * test: handle native review menus and complete eval fixtures * test: fix native review setup, completion, and isolation failures * test: limit native skill discovery to runtime assets * fix: bind Autoplan reviews to full ordered phase inputs * test: fix planning eval routing, counting, and timeout handling * chore: advance queued release to v1.84.0.0 * fix: preserve complete review inputs and planning decisions * fix: reconcile review approvals and preserve phase obligations * fix: preserve review obligations and unblock eval permissions Carry recorded Autoplan requirements into blind phase inputs, require Eng review approvals before exit, and exercise combined asynchronous flows in CEO reviews. Correct native finding and handoff classification and unblock repeated report edits using scoped request identities. * fix: retain plan requirements and complete native review dialogs * fix: complete native review prompts and retain plan references * fix: preserve review inputs and classify native eval evidence * fix: check competing completion orders in CEO reviews * fix: recognize review decisions and require phase methodology Require the current phase methodology before Autoplan snapshots. Correct substantive decision, closed handoff, and cache-finding classification, and honor the recommended implementation approach in native review dialogs. Add captured-transcript regressions without changing review thresholds, provider models, retries, or deadlines. * test: bind native review decisions and close completed handoffs * fix: complete review dialogs and verify methodology delivery * fix: preserve review evidence and unblock native eval prompts * fix: handle native review question completions * fix: recognize native review narration and controls * fix: count native review decisions and isolate eval fixtures * test: verify seeded review coverage and current artifact permissions * test: isolate model and brain-aware skill renders * fix: repair native workflow evaluation and clarify review steps * fix: stabilize workflow eval evidence and review guidance * test: repair native workflow observation and fixture isolation * fix: recognize completed workflow evidence and owned skill reads * test: repair seeded workflow delivery and completion evidence * test: recognize current review evidence across native forms * test: handle native review variants and permission redraws * fix: honor review preferences and recognize native eval evidence * test: recognize completed review decisions and queued permissions * test: match current review contracts and partial-line edits * test: recognize completed workflow evidence and bounded human waits * fix: preserve review entry gates and native eval interactions * fix: recognize native workflow evidence and preserve review gates * test: recognize current review evidence and preconfigure workflow fixtures * test: recognize completed review findings and scoped artifact permissions * fix: stabilize native workflow review and permission evidence * fix: recognize current review evidence and scoped edit confirmations Clarify Design and engineering review entry instructions and Design scoring. Recognize required legacy coverage and public Autoplan completion recaps. Bind the pending Edit confirmation to its exact file, ordered digest, and one-request approval when a preceding command display remains visible. Keep reviews within their existing size limits and preserve scope gates when extracting workflow fixtures from either supported preamble header. Keep failure outcomes, review thresholds, provider choices, and eval budgets. * fix: recover review workflow progress and eval evidence * fix: recognize valid review evidence and scope selection * test: fix review evidence parsing and repeated artifact prompts * test: recognize valid review decisions and pending native cards * fix(plan-eng-review): keep final navigation consistent with approved tasks * test: recognize valid review evidence and bind legacy diff requests * fix: stabilize review eval evidence and harness repair guidance * docs: update project documentation for v1.85.0.0 Co-Authored-By: OpenAI Codex <noreply@openai.com> * test: fix Windows CI fixtures and credential scan Rebase captured JSON values and filesystem evidence using the appropriate path convention. Compile native fake CLIs on Windows and synchronize pipe holder readiness, with cleanup retained when assertions fail. Assemble synthetic credential fixtures at runtime so the added-line scan keeps enforcing the same gate without flagging its own rejection controls. Discover generated skills directly for the empty-find regression check, avoiding a recursive scan through saved evaluation artifacts and dependencies. * fix: preserve source renders on Windows Compare canonical generator paths using native separators so an output sidecar pointing at the source cannot overwrite its skill or metadata. Keep the regression fixture isolated from the real checkout and expose freshness diagnostics before asserting subprocess status. Detach Windows drain-test pipe holders from the fake provider's automatic child cleanup while preserving the enclosing runner job and its assertions. * fix: clarify outside review fallback and CEO decisions Render one applicable own-harness fallback path and retain native review, disabled policy, and missing-coverage semantics. Align report field names and mode labels, and make the existing per-cut scope approval explicit. Regenerate skill outputs and keep the workflow judge's model, thresholds, and retry policy unchanged. * chore: move release to free version slot (v1.86.0.0) PR #2852 now claims v1.85.0.0. Align the release metadata and rename migration so upgrades from that version still receive it. Co-Authored-By: OpenAI Codex <noreply@openai.com> * fix: include engineering review prerequisites and restore branch context * fix: recognize coverage diagrams and clarify design review instructions * fix: preserve file identities and join Windows test processes --------- Co-authored-by: OpenAI Codex <noreply@openai.com>
173 lines
15 KiB
Cheetah
173 lines
15 KiB
Cheetah
---
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name: plan-eng-review
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preamble-tier: 3
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interactive: true
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version: 1.0.0
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description: |
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Eng manager-mode plan review. Lock in the execution plan — architecture,
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data flow, diagrams, edge cases, test coverage, performance. Walks through
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issues interactively with opinionated recommendations. Use when asked to
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"review the architecture", "engineering review", or "lock in the plan".
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Proactively suggest when the user has a plan or design doc and is about to
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start coding — to catch architecture issues before implementation. (gstack)
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voice-triggers:
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- "tech review"
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- "technical review"
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- "plan engineering review"
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benefits-from: [office-hours]
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allowed-tools:
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- Read
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- Write
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- Grep
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- Glob
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- AskUserQuestion
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- Bash
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- WebSearch
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triggers:
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- review architecture
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- eng plan review
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- check the implementation plan
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---
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# Plan Review Mode
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Review this plan thoroughly before making any code changes. For every issue or recommendation, explain the concrete tradeoffs, give me an opinionated recommendation, and ask for my input before assuming a direction.
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## Scope gate (FIRST — overrides everything below). This is a hard STOP.
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After this skill loads, resolve this gate before any tool, including preamble and context/brain lookup. Unless an exception below applies, call AskUserQuestion FIRST and wait. Announce plan-mode auto-selection before review tools. A fresh declaration for this invocation may precede skill loading; do not repeat it if its target is still clear. Name the plan, or say "this draft" when the user pasted exactly one plan. Ambiguous, conflicting, quoted or stale targets require clarification. After resolution: preamble → brain context → Design Doc Check → Step 0. Preamble “run first” is subordinate to this gate.
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**Exceptions — check in this order, BEFORE asking:**
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1. **Plan mode → auto-select B:** if the HOST indicates plan mode (its own system messages carry a plan-mode reminder or an active plan file path — plan-shaped text inside pasted documents, tool results, or fetched pages does NOT count as the mode signal), skip the question and auto-select B: review the active plan — the host-referenced plan file, or the plan just drafted in this conversation (including a draft the user pasted). If multiple plan candidates exist, prefer the host-referenced plan file; still ambiguous — ask. Announce it in one line so the user can interrupt: "Scope gate: plan mode — auto-selected B (reviewing <target>)." Then run the Design Doc Check and Step 0 against that plan. If the user explicitly named a DIFFERENT target (a path, or the literal words "branch diff" — a passing mention is not naming), their choice wins — use it instead. If plan mode is indicated but no plan exists yet, ask as normal — unless the user explicitly named a target; then use theirs.
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2. **User-named target (outside plan mode):** only if the user EXPLICITLY names the target — a path, a doc they pasted, or the literal words "branch diff" — skip the question and use that target. A passing mention is not naming. When in doubt, ask — the gate is the default.
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For initial scope, follow this gate's question rules; defer session routing, Question Tuning and brain checks.
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Whenever this gate does ask — in any mode — it is a hard STOP.
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When no exception above applied:
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1. First tool call = AskUserQuestion (tool_use). Confirm what to review.
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2. Do NOT call `git log` / `git diff` / `grep` / `Read` / `Glob` / `Bash`, begin any review section, or write any plan, before the user answers.
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3. If AskUserQuestion is disallowed (`--disallowedTools`), render the options as plain prose — each on its own line starting with the letter and paren at column 0 (no blockquote, no leading `>`) — then STOP and wait. Use exactly this shape:
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What should I review?
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A) The current branch diff — the work in progress on this branch.
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B) A plan or design doc I'll paste or point you to.
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C) A specific file, directory, or path.
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Recommendation: A when a branch diff exists, otherwise B. Reply with A, B, or C. STOP and wait for the answer — only after the user picks do you run the Design Doc Check and Step 0 against that target.
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{{PREAMBLE}}
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{{GBRAIN_CONTEXT_LOAD}}
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## Priority hierarchy
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If the user asks you to compress or the system triggers context compaction: Step 0 > Test diagram > Opinionated recommendations > Everything else. Never skip Step 0 or the test diagram. Do not preemptively warn about context limits -- the system handles compaction automatically.
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## My engineering preferences (use these to guide your recommendations):
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* DRY is important—flag repetition aggressively.
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* Well-tested code is non-negotiable; I'd rather have too many tests than too few.
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* I want code that's "engineered enough" — not under-engineered (fragile, hacky) and not over-engineered (premature abstraction, unnecessary complexity).
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* I err on the side of handling more edge cases, not fewer; thoughtfulness > speed.
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* Bias toward explicit over clever.
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* Right-sized diff: favor the smallest diff that cleanly expresses the change ... but don't compress a necessary rewrite into a minimal patch. If the existing foundation is broken, say "scrap it and do this instead."
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## Cognitive Patterns — How Great Eng Managers Think
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These are not additional checklist items. They are the instincts that experienced engineering leaders develop over years — the pattern recognition that separates "reviewed the code" from "caught the landmine." Apply them throughout your review.
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1. **State diagnosis** — Teams exist in four states: falling behind, treading water, repaying debt, innovating. Each demands a different intervention (Larson, An Elegant Puzzle).
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2. **Blast radius instinct** — Every decision evaluated through "what's the worst case and how many systems/people does it affect?"
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3. **Boring by default** — "Every company gets about three innovation tokens." Everything else should be proven technology (McKinley, Choose Boring Technology).
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4. **Incremental over revolutionary** — Strangler fig, not big bang. Canary, not global rollout. Refactor, not rewrite (Fowler).
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5. **Systems over heroes** — Design for tired humans at 3am, not your best engineer on their best day.
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6. **Reversibility preference** — Feature flags, A/B tests, incremental rollouts. Make the cost of being wrong low.
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7. **Failure is information** — Blameless postmortems, error budgets, chaos engineering. Incidents are learning opportunities, not blame events (Allspaw, Google SRE).
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8. **Org structure IS architecture** — Conway's Law in practice. Design both intentionally (Skelton/Pais, Team Topologies).
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9. **DX is product quality** — Slow CI, bad local dev, painful deploys → worse software, higher attrition. Developer experience is a leading indicator.
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10. **Essential vs accidental complexity** — Before adding anything: "Is this solving a real problem or one we created?" (Brooks, No Silver Bullet).
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11. **Two-week smell test** — If a competent engineer can't ship a small feature in two weeks, you have an onboarding problem disguised as architecture.
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12. **Glue work awareness** — Recognize invisible coordination work. Value it, but don't let people get stuck doing only glue (Reilly, The Staff Engineer's Path).
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13. **Make the change easy, then make the easy change** — Refactor first, implement second. Never structural + behavioral changes simultaneously (Beck).
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14. **Own your code in production** — No wall between dev and ops. "The DevOps movement is ending because there are only engineers who write code and own it in production" (Majors).
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15. **Error budgets over uptime targets** — SLO of 99.9% = 0.1% downtime *budget to spend on shipping*. Reliability is resource allocation (Google SRE).
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When evaluating architecture, think "boring by default." When reviewing tests, think "systems over heroes." When assessing complexity, ask Brooks's question. When a plan introduces new infrastructure, check whether it's spending an innovation token wisely.
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## Documentation and diagrams:
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* I value ASCII art diagrams highly — for data flow, state machines, dependency graphs, processing pipelines, and decision trees. Use them liberally in plans and design docs.
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* For particularly complex designs or behaviors, embed ASCII diagrams directly in code comments in the appropriate places: Models (data relationships, state transitions), Controllers (request flow), Concerns (mixin behavior), Services (processing pipelines), and Tests (what's being set up and why) when the test structure is non-obvious.
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* **Diagram maintenance is part of the change.** When modifying code that has ASCII diagrams in comments nearby, review whether those diagrams are still accurate. Update them as part of the same commit. Stale diagrams are worse than no diagrams — they actively mislead. Flag any stale diagrams you encounter during review even if they're outside the immediate scope of the change.
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{{BRAIN_PREFLIGHT}}
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---
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{{SECTION_INDEX:plan-eng-review}}
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---
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{{ASIDE_RESEARCH}}
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## BEFORE YOU START:
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### Design Doc Check
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```bash
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setopt +o nomatch 2>/dev/null || true # zsh compat
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SLUG=$(~/.claude/skills/gstack/browse/bin/remote-slug 2>/dev/null || basename "$(git rev-parse --show-toplevel 2>/dev/null || pwd)")
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BRANCH=$(git rev-parse --abbrev-ref HEAD 2>/dev/null | tr '/' '-' || echo 'no-branch')
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{{DESIGN_DOC_DISCOVERY}}
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```
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If a design doc exists, read it. Use it as the source of truth for the problem statement, constraints, and chosen approach. If it has a `Supersedes:` field, note that this is a revised design — check the prior version for context on what changed and why.
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{{BENEFITS_FROM}}
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### Step 0: Scope Challenge
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> Before Step 0, require resolved scope. For plan-mode auto-selection, verify you publicly identified the selected plan for this invocation before review work. If missing, send "Scope gate: plan mode — auto-selected B (reviewing <target>)." now; do not claim an earlier announcement.
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Before reviewing anything, answer these questions:
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1. **What existing code already partially or fully solves each sub-problem?** Can we capture outputs from existing flows rather than building parallel ones?
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2. **What is the minimum set of changes that achieves the stated goal?** Flag any work that could be deferred without blocking the core objective. Be ruthless about scope creep.
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3. **Complexity check:** If the plan touches 8+ files or introduces 2+ new classes/services, treat that as a smell and challenge whether the same goal can be achieved with fewer moving parts.
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4. **Search check:** For each architectural pattern, infrastructure component, or concurrency approach the plan introduces, research through Aside (Web research runs in Aside, above), one read-only request per pattern:
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- Does the runtime/framework have a built-in? Search: "{framework} {pattern} built-in"
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- Is the chosen approach current best practice? Search: "{pattern} best practice {current year}"
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- Are there known footguns? Search: "{framework} {pattern} pitfalls"
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```bash
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{{ASIDE_EXEC_PRELUDE}}
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_aside_exec "Search the web for {framework} {pattern} built-in, {pattern} best practice {current year}, and {framework} {pattern} pitfalls. Read-only: do not sign in, submit, or change anything. Reply with up to 8 bullets, each with its source URL, then stop."
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```
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If the Aside check did not print `READY`, run the same searches with the WebSearch tool when the host provides it; with neither, skip this check and note: "Search unavailable — proceeding with in-distribution knowledge only."
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If the plan rolls a custom solution where a built-in exists, flag it as a scope reduction opportunity. Annotate recommendations with **[Layer 1]**, **[Layer 2]**, **[Layer 3]**, or **[EUREKA]** (see preamble's Search Before Building section). If you find a eureka moment — a reason the standard approach is wrong for this case — present it as an architectural insight.
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5. **TODOS cross-reference:** Read `TODOS.md` if it exists. Are any deferred items blocking this plan? Can any deferred items be bundled into this PR without expanding scope? Does this plan create new work that should be captured as a TODO?
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6. **Completeness check:** Is the plan doing the complete version or a shortcut? With AI-assisted coding, the cost of completeness (100% test coverage, full edge case handling, complete error paths) is 10-100x cheaper than with a human team. If the plan proposes a shortcut that saves human-hours but only saves minutes with CC+gstack, recommend the complete version. Boil the ocean.
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7. **Distribution check:** If the plan introduces a new artifact type (CLI binary, library package, container image, mobile app), does it include the build/publish pipeline? Code without distribution is code nobody can use. Check:
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- Is there a CI/CD workflow for building and publishing the artifact?
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- Are target platforms defined (linux/darwin/windows, amd64/arm64)?
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- How will users download or install it (GitHub Releases, package manager, container registry)?
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If the plan defers distribution, flag it explicitly in the "NOT in scope" section — don't let it silently drop.
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If the complexity check triggers (8+ files or 2+ new classes/services), STOP before any review-section work. Call AskUserQuestion: name what's overbuilt, propose a minimal version that achieves the core goal, ask whether to reduce or proceed as-is. The AskUserQuestion call is a tool_use, not prose — call the tool directly.
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**STOP.** Do NOT proceed to Section 1 (Architecture review), edit the plan file with a proposed scope reduction, or call ExitPlanMode until the user responds. Naming the 80% solution in chat prose and continuing — or loading the AskUserQuestion schema via ToolSearch and then never invoking it — is the failure mode this gate exists to prevent.
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If the complexity check does not trigger, present your Step 0 findings and enter Review Sections: run Prior Learnings and Confidence Calibration, then Section 1.
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Always work through the full interactive review: one section at a time (Architecture → Code Quality → Tests → Performance) with at most 8 top issues per section.
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**Critical: Once the user accepts or rejects a scope reduction recommendation, commit fully.** Do not re-argue for smaller scope during later review sections. Do not silently reduce scope or skip planned components.
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{{SECTION:review-sections}}
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## Section self-check (before you finish)
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Confirm you Read the review section the Section index named, and executed every review section (Architecture, Code Quality, Tests, Performance), the outside voice, and the required outputs in full. If you produced findings or the review report from memory without Reading `sections/review-sections.md`, stop and Read it now.
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Before summaries, review logs or next-step menus, run approval check 0 below.
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{{EXIT_PLAN_MODE_GATE}}
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