Files
gstack/plan-eng-review/SKILL.md.tmpl
T
Garry Tan cab774cced v1.56.0.0 Token-reduction Phase B + AUQ paranoid safety net (#1849)
* refactor(plan-ceo-review): carve review body into on-demand section

Carve the largest skill (138,838 B) into a skeleton + one on-demand
section, the documented next Phase B target after /ship (v2_PLAN.md:216).

- sections/review-sections.md(.tmpl): the 11-section deep review, codex/
  outside-voice rules, how-to-ask, Required Outputs, registries, Completion
  Summary, Review Log, REVIEW_DASHBOARD, PLAN_FILE_REVIEW_REPORT, Next Steps,
  docs/designs promotion, Formatting Rules, and the Mode Quick Reference.
- sections/manifest.json: passive registry (CM2), one entry.
- SKILL.md.tmpl: {{SECTION_INDEX}} after the system audit, a single
  {{SECTION:review-sections}} STOP-Read after Step 0 mode selection, and a
  Section self-check. All of Step 0 (the scope/mode conversation) stays in
  the always-loaded skeleton; only EXIT_PLAN_MODE_GATE follows the section.

Measured: always-loaded skeleton 138,838 -> 80,731 B (-42%, ~14.4K tokens
off every invocation). Union (skeleton + section) 139,110 B, behavior held.

Boundary honors Codex P1: nothing review-governing (formatting rules, mode
reference, how-to-ask, required outputs) sits in the skeleton below the
STOP. Housekeeping resolvers ride in the section, matching the ship
precedent (adversarial.md carries LEARNINGS_LOG + GBRAIN_SAVE_RESULTS).

Tests (atomic with the carve — skill-docs.yml gates gen:skill-docs
freshness on every push, so source + regen + tests must land together):
- parity-harness: plan-ceo flipped to sectioned, maxSkeletonBytes 90_000
  (measured 80,731 + headroom); content/minBytes run against the union.
- skill-size-budget: plan-ceo-review added to SECTIONS_EXTRACTED.
- section-manifest-consistency: generalized to discover every carved skill,
  vars computed per-skill-case (Codex P2).
- skill-ceo-section-ordering (new, gate): per-PR static guard — STOP after
  Step 0, review body absent from skeleton, report writer in the section,
  nothing review-governing below the STOP.
- skill-e2e-plan-ceo-review-section-loading (new, periodic): refreshes the
  installed skill first (Codex P1), drives full Step 0, asserts the section
  is Read before the report.
- gen-skill-docs + skill-validation: read the skeleton+sections union for
  carved skills so relocated prose still counts.
- touchfiles: plan-ceo-section-loading registered (periodic).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* chore: bump VERSION + CHANGELOG for plan-ceo-review carve (v1.56.0.0)

MINOR: carves the largest skill into skeleton + on-demand section,
dropping plan-ceo-review's always-loaded cost 42% (138,838 -> 80,731 B,
~14.4K tokens off every invocation). User-facing release notes lead with
the measured token win.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* docs(todos): file P3 follow-up — carve the shared {{PREAMBLE}} reference blocks

Surfaced by /plan-eng-review on the plan-ceo-review carve: per-skill section
carves stay modest because the ~40-50KB shared preamble dominates the
always-loaded surface. A single preamble-reference carve would help every
tier->=2 skill at once. Records the why, the cold-vs-hot split to measure,
and the guards it needs. Not implemented this PR.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test(auq): Layer 0 — guarantee AUQ format spec is always-loaded

Deterministic, free, per-PR keystone for the token-reduction era. For every
interactive (tier>=2) skill, asserts the full AskUserQuestion decision-brief
format (ELI10/Recommendation/Pros-cons/checks/Net/(recommended)/Stakes/
self-check) lives in the always-loaded SKILL.md skeleton, NOT only in an
on-demand section. Plus a roster guard (a carve can't silently drop the block)
and per-skill rule survival in the skeleton+sections union. 51 cases + a
negative control. Fails the instant a future carve strands AUQ-governing text
where it won't be loaded when a question fires.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test(auq): SDK capture engine + verbose-vs-carved no-degradation A/B

Adds the reusable SDK $OUT_FILE capture engine (auq-sdk-capture.ts): drives a
skill to its AUQ and captures the verbatim text the model GENERATES, cleanly
(real-PTY mangles plan-mode AUQs via cursor escapes). Pins the skill to an
absolute path with Read/Write-only tools so the agent can't wander to the
global install. gradeAuqRecommendation normalizes a non-"because" connective
before grading so substantive reasons aren't false-flagged (without touching
the pinned shared judge).

The A/B drives the same prompt through the carved 80KB skeleton and the
pre-carve 137KB monolith and fails if carved scores worse. Result: both 7/7
format, substance 5 — proven no degradation, transcript-verified each side read
its own planted SKILL.md. Periodic tier.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test(auq): consistency — same trigger N runs, stable format + substance

Drives the carved /plan-ceo-review AUQ N=3 times and fails if any format
element appears in one run but not another, or substance craters. Targets the
"fine one run, broken the next" failure class a single snapshot can't see.
Result: 3/3 stable, 7/7 + substance 5 every run. Periodic tier.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test(auq): behavioral matrix across AUQ-heavy skills

Data-driven test that drives each AUQ-heavy skill (plan-eng/design/devex,
office-hours, cso, spec, design-consultation) to its first AskUserQuestion and
grades it to the plan-ceo bar: 7/7 decision-brief format + recommendation
substance >=4. One case per skill (isolated failures), env-subsettable via
AUQ_MATRIX_ONLY. Browser/design-binary skills are intentionally excluded
(comparison boards, not format-AUQs; Layer 0 covers their spec). All targeted
skills pass 7/7 with substance 4-5. Periodic tier.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test(codex): live recommendation-substance grade for /codex

Closes the gap where /codex's synthesis recommendation was only checked
statically (template grep) and via fixtures. Drives the real /codex skill over
a flawed diff and grades the emitted "Recommendation: ... because ..." line
with judgeRecommendation (present/commits/has_because/substance>=4). The named
weak spot holds up: substance 5. Periodic tier.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test(auq): deterministic trigger for format-compliance gate

A bare /plan-ceo-review against a repo whose work is already implemented makes
the model improvise an off-script "what should I review?" scope question that
skips the decision-brief format, which the gate test then times out waiting for.
Hand it a concrete plan to review (FORCING_FLOOR_CEO) so it reaches the real
Step 0 mode-selection AUQ that is the intended format check.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* refactor(office-hours): carve Phase 5+6 into on-demand section

Third Phase B carve (v2_PLAN.md:216, after ship and plan-ceo-review). Moves
Phase 5 (Design Doc templates) + Phase 6 (tiered relationship handoff) — the
session's output + closing tail, only reached after the conversation and
alternatives are done — into sections/design-and-handoff.md, behind a single
STOP-Read after Phase 4.5. The live conversation (Phases 1-4.5) and the
always-run Important Rules stay in the always-loaded skeleton.

Measured: always-loaded skeleton 118,280 -> 88,975 B (-24.8%). Union preserved.
The carved AUQ is identical to pre-carve (matrix: 7/7 format, substance 5),
and Layer 0 confirms the AUQ format spec stays in the skeleton — the AUQ
paranoid suite de-risked this carve end to end.

Atomic with tests + regen (skill-docs.yml gates gen:skill-docs freshness on
every push, so source + regen + tests land together; --host all regenerates
the inlined non-Claude variants):
- sections/manifest.json: passive registry, one entry.
- parity-harness: office-hours flipped to sectioned, maxSkeletonBytes 96_000
  (measured 88,975 + headroom); content/minBytes run against the union.
- skill-size-budget: office-hours added to SECTIONS_EXTRACTED.
- gen-skill-docs + skill-validation: read the skeleton+sections union for
  office-hours so relocated Phase 5/6 prose still counts.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* chore: bump VERSION + CHANGELOG for office-hours carve + AUQ suite (v1.57.0.0)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* refactor(preamble): carve CJK-escaping manual to on-demand doc

The AskUserQuestion format block is inlined into every interactive skill (~33).
It carried the full multi-paragraph non-ASCII/CJK escaping manual inline, but
that rationale only matters when a question contains CJK text and the operative
rule already lives in the always-loaded self-check. Moved the justification to
docs/askuserquestion-cjk.md (read on demand); kept the rule + a pointer.

Corpus: Claude-host SKILL.md total 3,087,499 -> 3,057,975 B (-29,524 B, ~900 B
x ~33 skills). Layer 0 still passes — the core decision-brief format stays
always-loaded; only the rare CJK rationale moved. Atomic with the all-host
regen (skill-docs.yml freshness gate). VERSION + package.json -> 1.58.0.0.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* refactor(plan-eng-review): carve review body into on-demand section

Fourth Phase B carve (v2_PLAN.md:220). Moves the 4-section review (Architecture,
Code Quality, Tests, Performance), outside voice, required outputs, and review
report — everything after Step 0 scope — into sections/review-sections.md behind
a single STOP-Read. Step 0 (scope challenge) and EXIT_PLAN_MODE_GATE stay in the
always-loaded skeleton.

Measured: skeleton 106,984 -> 54,892 B (-48.7%). Union preserved. Atomic with
tests + all-host regen (freshness gate): parity flipped to sectioned
(maxSkeletonBytes 62K), plan-eng-review added to SECTIONS_EXTRACTED, gen-skill-docs
reads the union for relocated review/TEST_COVERAGE/dashboard prose. Layer 0 green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* refactor(plan-design-review): carve review body into on-demand section

Fifth Phase B carve (v2_PLAN.md:220, bundled with plan-eng). Moves the 7 design
passes, required outputs, and review report — everything after Step 0 scope and
the mockup/rating phase — into sections/review-sections.md behind a STOP-Read.
Step 0, Step 0.5 mockups, the rating method, and EXIT_PLAN_MODE_GATE stay in the
always-loaded skeleton.

Measured: skeleton 112,057 -> 76,024 B (-32.2%). Union preserved. Atomic with
tests + all-host regen: parity sectioned (maxSkeletonBytes 82K), added to
SECTIONS_EXTRACTED, gen-skill-docs reads the union. Layer 0 green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* refactor(plan-devex-review): carve review body into on-demand section

Sixth Phase B carve. Moves the 8 DX passes, required outputs, and review report
— everything after the Step 0 DX investigation — into sections/review-sections.md
behind a STOP-Read. All of Step 0 (persona, empathy, benchmark, journey trace,
roleplay) + the rating method + EXIT_PLAN_MODE_GATE stay always-loaded.

Measured: skeleton 110,621 -> 69,658 B (-37%). Union preserved. Atomic with
tests + all-host regen: added to SECTIONS_EXTRACTED, gen-skill-docs reads the
union. Layer 0 green. (No parity invariant entry for plan-devex-review.)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* chore: bump VERSION + CHANGELOG for plan-* family carves (v1.59.0.0)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test: refresh ship golden baselines + gbrain-detection union after carves

Two follow-ups the carve commits should have carried (caught by the full suite,
missed by targeted subsets):
- ship golden baselines (claude/codex/factory) regenerated: the preamble CJK
  trim (v1.58) changed ship's always-loaded AskUserQuestion block.
- gbrain-detection-override probes the office-hours skeleton+section union:
  GBRAIN_SAVE_RESULTS moved into sections/design-and-handoff.md when office-hours
  was carved, so the detection assertions now check both files.

Full `bun test` green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test(auq): grade format-compliance gate from SDK capture, not the TUI

The real-PTY version grepped the stripAnsi'd interactive AUQ picker. Verified
directly that this cannot work: plan-mode AUQs render as a cursor picker whose
cursor-positioning escapes stripAnsi can't flatten — the picker renders fine for
a human (cursorSeen=45) but the flattened text drops ELI10:/(recommended) and
parseNumberedOptions returns 0. The test was grading a lossy projection and
failed by construction.

Rewritten to drive /plan-ceo-review via the SDK $OUT_FILE capture (the agent
writes the verbatim question it would have shown — clean text, no rendering
loss) and grade 7/7 format + kind-note + recommendation substance >=4. Same
property, reliable, environment-independent; shares the engine with the periodic
A/B and matrix evals. Result: 7/7 format, substance 5. Touchfiles key renamed
ask-user-question-format-pty -> auq-format-gate (no longer a PTY test).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test: fix carve-broken CI evals (union reads + section fixtures)

Two CI eval jobs failed on the carved plan-* skills because they read content
that moved into sections/:

- llm-judge (skill-llm-eval): runWorkflowJudge sliced SKILL.md between markers
  like "## Review Sections" / "## CRITICAL RULE" that now live in
  sections/review-sections.md. The markers vanished from the skeleton, so the
  judge scored empty/wrong content. Fix: read the skeleton+sections union.
  Verified: plan-ceo modes / plan-eng sections / plan-design passes all PASS
  (25/25).

- e2e-plan (skill-e2e-plan): setupPlanDir copied only <skill>/SKILL.md into the
  fixture, not sections/. The carved skill's STOP pointed at a section file that
  was absent, so the model improvised a compressed report table instead of the
  canonical "| Review | Trigger | Why | Runs | Status | Findings |". Fix: copy
  sections/ alongside SKILL.md in all 6 setup sites. Verified: report test PASS,
  canonical table emitted.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test: copy carved sections into all e2e fixtures (prevent more carve-blind CI fails)

Proactive sweep beyond the two CI logs: every e2e test that copies a carved
skill's SKILL.md into a temp fixture must also copy its sections/, or the
model hits a STOP pointing at a missing section file and improvises/degrades.

- skill-e2e.test.ts: plan-ceo/plan-eng/plan-design/office-hours copies across
  planDir/reviewDir/ohDir/benefitsDir dests now copy sections/.
- skill-e2e-plan.test.ts: the office-hours copy + the 4-skill codex-offering
  loop now copy sections/.
- skill-e2e-design.test.ts: plan-design-review copy now copies sections/.
- skill-e2e-office-hours.test.ts: both office-hours copies now copy sections/.
- skill-e2e-office-hours-brain-writeback.test.ts: GBRAIN_SAVE_RESULTS moved into
  the section, so check the regenerated skeleton+section UNION for the gbrain put
  block, ship both into the workdir, and restore both (the section regen was also
  leaking into the working tree — finally now restores it).

ship copies (single-file Step-0 slices) and review/retro (not carved) untouched.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test: migrate section-loading E2E to lossless SDK tool-stream detection

The /ship and /plan-ceo-review section-loading tests drove a real PTY and
scraped the ANSI screen buffer for sections/<file>.md paths. That silently
saw nothing in a Conductor PTY (cursor-positioned tool renders and an
unanswered Step 0 question loop both defeat the regex), so both reported
read: [] even when the agent did the work.

They now run the skill through claude -p (the same SDK path the AUQ matrix
uses) and detect section reads from the tool-use stream — Read calls whose
file_path contains sections/<file>.md — with no rendering layer to mangle.
The run is also hermetic: the freshly-generated worktree skeleton + sections
are copied into a throwaway fixture with the absolute path pinned, so the
test validates this branch's carve without mutating the user's ~/.claude
install.

Validated EVALS_TIER=periodic: both pass (plan-ceo Reads review-sections.md;
ship Reads review-army.md + changelog.md), ~6.5 min for both vs ~23 min
combined on the old PTY path where both were failing.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* chore: consolidate branch to v1.56.0.0 (single MINOR above main)

The branch bumped VERSION several times during development (1.56 → 1.57 →
1.58 → 1.59), but none of those landed on main (main is at 1.55.1.0). Per
the "never orphan branch-internal versions" discipline, collapse all four
into a single 1.56.0.0 entry — one MINOR release covering the whole branch:
five skills carved (plan-ceo, office-hours, plan-eng, plan-design,
plan-devex), the shared AskUserQuestion preamble CJK trim, and the paranoid
AUQ no-degradation test suite + lossless section-loading tests.

VERSION and package.json set to 1.56.0.0; main's 1.55.1.0 entry preserved
below the consolidated entry. No SKILL.md drift (VERSION is not embedded in
generated bodies).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-04 11:14:43 -07:00

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11 KiB
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---
name: plan-eng-review
preamble-tier: 3
interactive: true
version: 1.0.0
description: |
Eng manager-mode plan review. Lock in the execution plan — architecture,
data flow, diagrams, edge cases, test coverage, performance. Walks through
issues interactively with opinionated recommendations. Use when asked to
"review the architecture", "engineering review", or "lock in the plan".
Proactively suggest when the user has a plan or design doc and is about to
start coding — to catch architecture issues before implementation. (gstack)
voice-triggers:
- "tech review"
- "technical review"
- "plan engineering review"
benefits-from: [office-hours]
allowed-tools:
- Read
- Write
- Grep
- Glob
- AskUserQuestion
- Bash
- WebSearch
triggers:
- review architecture
- eng plan review
- check the implementation plan
---
{{PREAMBLE}}
{{GBRAIN_CONTEXT_LOAD}}
# Plan Review Mode
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.
## Priority hierarchy
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.
## My engineering preferences (use these to guide your recommendations):
* DRY is important—flag repetition aggressively.
* Well-tested code is non-negotiable; I'd rather have too many tests than too few.
* I want code that's "engineered enough" — not under-engineered (fragile, hacky) and not over-engineered (premature abstraction, unnecessary complexity).
* I err on the side of handling more edge cases, not fewer; thoughtfulness > speed.
* Bias toward explicit over clever.
* 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."
## Cognitive Patterns — How Great Eng Managers Think
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.
1. **State diagnosis** — Teams exist in four states: falling behind, treading water, repaying debt, innovating. Each demands a different intervention (Larson, An Elegant Puzzle).
2. **Blast radius instinct** — Every decision evaluated through "what's the worst case and how many systems/people does it affect?"
3. **Boring by default** — "Every company gets about three innovation tokens." Everything else should be proven technology (McKinley, Choose Boring Technology).
4. **Incremental over revolutionary** — Strangler fig, not big bang. Canary, not global rollout. Refactor, not rewrite (Fowler).
5. **Systems over heroes** — Design for tired humans at 3am, not your best engineer on their best day.
6. **Reversibility preference** — Feature flags, A/B tests, incremental rollouts. Make the cost of being wrong low.
7. **Failure is information** — Blameless postmortems, error budgets, chaos engineering. Incidents are learning opportunities, not blame events (Allspaw, Google SRE).
8. **Org structure IS architecture** — Conway's Law in practice. Design both intentionally (Skelton/Pais, Team Topologies).
9. **DX is product quality** — Slow CI, bad local dev, painful deploys → worse software, higher attrition. Developer experience is a leading indicator.
10. **Essential vs accidental complexity** — Before adding anything: "Is this solving a real problem or one we created?" (Brooks, No Silver Bullet).
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.
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).
13. **Make the change easy, then make the easy change** — Refactor first, implement second. Never structural + behavioral changes simultaneously (Beck).
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).
15. **Error budgets over uptime targets** — SLO of 99.9% = 0.1% downtime *budget to spend on shipping*. Reliability is resource allocation (Google SRE).
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.
## Documentation and diagrams:
* 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.
* 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.
* **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.
{{BRAIN_PREFLIGHT}}
---
{{SECTION_INDEX:plan-eng-review}}
---
## BEFORE YOU START:
### Design Doc Check
```bash
setopt +o nomatch 2>/dev/null || true # zsh compat
SLUG=$(~/.claude/skills/gstack/browse/bin/remote-slug 2>/dev/null || basename "$(git rev-parse --show-toplevel 2>/dev/null || pwd)")
BRANCH=$(git rev-parse --abbrev-ref HEAD 2>/dev/null | tr '/' '-' || echo 'no-branch')
DESIGN=$(ls -t ~/.gstack/projects/$SLUG/*-$BRANCH-design-*.md 2>/dev/null | head -1)
[ -z "$DESIGN" ] && DESIGN=$(ls -t ~/.gstack/projects/$SLUG/*-design-*.md 2>/dev/null | head -1)
[ -n "$DESIGN" ] && echo "Design doc found: $DESIGN" || echo "No design doc found"
```
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.
{{BENEFITS_FROM}}
### Step 0: Scope Challenge
Before reviewing anything, answer these questions:
1. **What existing code already partially or fully solves each sub-problem?** Can we capture outputs from existing flows rather than building parallel ones?
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.
3. **Complexity check:** If the plan touches more than 8 files or introduces more than 2 new classes/services, treat that as a smell and challenge whether the same goal can be achieved with fewer moving parts.
4. **Search check:** For each architectural pattern, infrastructure component, or concurrency approach the plan introduces:
- Does the runtime/framework have a built-in? Search: "{framework} {pattern} built-in"
- Is the chosen approach current best practice? Search: "{pattern} best practice {current year}"
- Are there known footguns? Search: "{framework} {pattern} pitfalls"
If WebSearch is unavailable, skip this check and note: "Search unavailable — proceeding with in-distribution knowledge only."
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.
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?
5. **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 lake.
6. **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:
- Is there a CI/CD workflow for building and publishing the artifact?
- Are target platforms defined (linux/darwin/windows, amd64/arm64)?
- How will users download or install it (GitHub Releases, package manager, container registry)?
If the plan defers distribution, flag it explicitly in the "NOT in scope" section — don't let it silently drop.
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.
**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.
If the complexity check does not trigger, present your Step 0 findings and proceed directly to Section 1.
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.
**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.
{{SECTION:review-sections}}
## Section self-check (before you finish)
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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