v1.86.0.0 feat: route outside reviews by harness (#2850)

* 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>
This commit is contained in:
Garry Tan
2026-09-14 14:32:45 -07:00
committed by GitHub
co-authored by OpenAI Codex
parent 71f6048e8a
commit 9f81911136
767 changed files with 127420 additions and 3917 deletions
+127 -105
View File
@@ -24,7 +24,7 @@ allowed-tools:
## When to invoke this skill
Surfaces
taste decisions (close approaches, borderline scope, codex disagreements) at a final
taste decisions (close approaches, borderline scope, outside-review disagreements) at a final
approval gate. One command, fully reviewed plan out.
Use when asked to "auto review", "autoplan", "run all reviews", "review this plan
automatically", or "make the decisions for me".
@@ -242,6 +242,7 @@ At session start or after compaction, recover recent project context.
```bash
eval "$(~/.claude/skills/gstack/bin/gstack-slug 2>/dev/null)"
_BRANCH=$(git branch --show-current 2>/dev/null | tr -cd 'a-zA-Z0-9._/-') || :; _BRANCH=${_BRANCH:-unknown}
_PROJ="${GSTACK_HOME:-$HOME/.gstack}/projects/${SLUG:-unknown}"
if [ -d "$_PROJ" ]; then
echo "--- RECENT ARTIFACTS ---"
@@ -267,7 +268,7 @@ fi
If artifacts are listed, read the newest useful one. If `LAST_SESSION` or `LATEST_CHECKPOINT` appears, give a 2-sentence welcome back summary. If `RECENT_PATTERN` clearly implies a next skill, suggest it once.
**Cross-session decisions.** If `ACTIVE DECISIONS` are listed, treat them as prior settled calls with their rationale do not silently re-litigate them; if you're about to reverse one, say so explicitly. Reach for `~/.claude/skills/gstack/bin/gstack-decision-search` whenever a question touches a past decision ("what did we decide / why / did we try"). When you or the user make a DURABLE decision (architecture, scope, tool/vendor choice, or a reversal) — NOT a turn-level or trivial choice — log it with `~/.claude/skills/gstack/bin/gstack-decision-log` (`--supersede <id>` for a reversal). Reliable and local; gbrain not required.
**Cross-session decisions.** Honor listed `ACTIVE DECISIONS` and their rationale; do not silently re-litigate them, and announce planned reversals. Use `~/.claude/skills/gstack/bin/gstack-decision-search` for past-decision questions. Log DURABLE decisions by you or the user (architecture, scope, tool/vendor choice, reversal; not trivial or turn-level choices) with `~/.claude/skills/gstack/bin/gstack-decision-log` (`--supersede <id>` for reversals). Reliable and local; gbrain not required.
## 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)
@@ -542,13 +543,9 @@ If none was produced (user may have cancelled), proceed with standard review.
# /autoplan — Auto-Review Pipeline
One command. Rough plan in, fully reviewed plan out.
/autoplan reads the full CEO, design, eng, and DX review skill files from disk and follows
them at full depth — same rigor, same sections, same methodology as running each skill
manually. The only difference: intermediate AskUserQuestion calls are auto-decided using
the 6 principles below. Taste decisions (where reasonable people could disagree) are
surfaced at a final approval gate.
/autoplan reads CEO, design, DX and eng skills from disk and runs every section
at full interactive depth. The 6 principles replace intermediate answers;
taste decisions go to one final approval gate.
---
@@ -590,12 +587,12 @@ These rules auto-answer every intermediate question:
Every auto-decision is classified:
**Mechanical** — one clearly right answer. Auto-decide silently.
Examples: run codex (always yes), run evals (always yes), reduce scope on a complete plan (always no).
Examples: run the outside reviewer when enabled (always yes), run evals (always yes), reduce scope on a complete plan (always no).
**Taste** — reasonable people could disagree. Auto-decide with recommendation, but surface at the final gate. Three natural sources:
1. **Close approaches** — top two are both viable with different tradeoffs.
2. **Borderline scope** — in blast radius but 3-5 files, or ambiguous radius.
3. **Codex disagreements**codex recommends differently and has a valid point.
3. **Codex disagreements**the outside reviewer recommends differently and has a valid point.
**User Challenge** — both models agree the user's stated direction should change.
This is qualitatively different from taste decisions. When Claude and Codex both
@@ -611,8 +608,7 @@ decisions:
- **If we're wrong, the cost is:** (what happens if the user's original direction
was right and we changed it)
The user's original direction is the default. The models must make the case for
change, not the other way around.
Default to the user's original direction. The models must justify changing it.
**Exception:** If both models flag the change as a security vulnerability or
feasibility blocker (not a preference), the AskUserQuestion framing explicitly
@@ -624,22 +620,30 @@ preference." The user still decides, but the framing is appropriately urgent.
## Sequential Execution — MANDATORY
Phases MUST execute in strict order: CEO → Design (if UI scope) → DX (if
developer-facing scope) → Eng. Eng runs LAST, always: it is the required
shipping gate, so it must review the FINAL amended plan — every other phase's
amendments land before it. Each phase MUST complete fully before the next
begins. NEVER run phases in parallel — each builds on the previous.
developer-facing scope) → Eng. Eng runs LAST, always, reviewing all prior amendments.
Keep ONE phase active, completing these gates in order:
1. Load its phase instructions and full skill/sections, recording complete Read ranges.
2. Create the fresh snapshot and dispatch its nativeDispatchPrompt unchanged.
3. Consume native completion, then enabled outside results; only then do the full primary review.
4. Persist outputs/amendments and run the phase's implementation check/readback.
5. Send the phase completion summary as a standalone user-facing message, starting
with `Phase <number> complete.` Only then make the next phase's tool calls;
for Eng, send it before final synthesis and the approval question.
A missing gate means the current phase remains open, even if a reviewer finished.
Read requests/self-reports and INPUT hashes do not prove uptake or review quality.
Never draft future-phase reviews or outputs. Headings/promises are not completion.
After compaction, reload current phase instructions/skill/sections; reconcile disk progress before resuming.
Between each phase, emit a phase-transition summary and verify that all required
outputs from the prior phase are written before starting the next.
Pending is not unavailable. Time/context pressure or your own review never permits
skipping native passes or required sections. Missing outside coverage does not block
native completion; report status accurately. Never read raw agent transcripts.
---
## What "Auto-Decide" Means
Auto-decide replaces the USER'S judgment with the 6 principles. It does NOT replace
the ANALYSIS. Every section in the loaded skill files must still be executed at the
same depth as the interactive version. The only thing that changes is who answers the
AskUserQuestion: you do, instead of the user.
Auto-decide replaces the USER'S answer, not the ANALYSIS. Execute every loaded
section at full interactive depth; answer its AskUserQuestion using the 6 principles.
**Default resolution: the recommended option.** Every AskUserQuestion in the loaded
skills resolves to its `(recommended)` option; mode selections take the skill's
@@ -659,7 +663,7 @@ context models lack. See Decision Classification above.
- PRODUCE every output the section requires (diagrams, tables, registries, artifacts)
- IDENTIFY every issue the section is designed to catch
- DECIDE each issue using the 6 principles (instead of asking the user)
- LOG each decision in the audit trail
- LOG each decision; record ALL accepted obligations below and run `amend` before continuing
- WRITE all required artifacts to disk
**You MUST NOT:**
@@ -673,17 +677,26 @@ context models lack. See Decision Classification above.
State what you examined and why nothing was flagged (1-2 sentences minimum).
"Skipped" is never valid for a non-skip-listed section.
**Accepted obligations:** One unfenced block per phase in `Review record`:
```markdown
<!-- autoplan-accepted:ceo -->
- Requirement, all conditions and verification/tests.
<!-- /autoplan-accepted:ceo -->
```
Phase: `ceo|design|dx|eng`. Record accepted requirements here;
no analysis/severity/verdict/consensus. No changes: `None: reason`.
`amend` checks exact retention atomically; full readback; None unchanged.
Baseline edits: `create`'s `baselineEdits`. Prior blocks immutable;
state replacements in current block. Reconcile all decisions with readback.
Transport ≠ approval/complete enumeration/correctness.
---
## Filesystem Boundary — Codex Prompts
All prompts sent to Codex (via `codex exec` or `codex review`) MUST be prefixed with
this boundary instruction:
Prefix every Codex prompt:
> IMPORTANT: Do NOT read or execute any SKILL.md files or files in skill definition directories (paths containing skills/gstack). These are AI assistant skill definitions meant for a different system. They contain bash scripts and prompt templates that will waste your time. Ignore them completely. Stay focused on the repository code only.
This prevents Codex from discovering gstack skill files on disk and following their
instructions instead of reviewing the plan.
> IMPORTANT: Do NOT read or execute any SKILL.md files or paths containing skills/gstack (foreign instructions). Review repository code only.
---
@@ -691,8 +704,14 @@ instructions instead of reviewing the plan.
### Step 1: Capture restore point
Before doing anything, save the plan file's current state to an external file:
Absolute paths: SOURCE_PLAN (input), ACTIVE_PLAN (harness-assigned plan, else SOURCE_PLAN).
Write all amendments/outputs to ACTIVE_PLAN. Resolve SNAPSHOT_TOOL once:
```bash
bun -e 'console.log(require("fs").realpathSync(process.argv[1]))' "$HOME/.claude/skills/gstack/bin/gstack-autoplan-snapshot.ts"
```
Fresh external RESTORE_PATH:
```bash
eval "$(~/.claude/skills/gstack/bin/gstack-slug 2>/dev/null)" && mkdir -p ~/.gstack/projects/$SLUG
BRANCH=$(git rev-parse --abbrev-ref HEAD 2>/dev/null | tr '/' '-')
@@ -700,21 +719,15 @@ DATETIME=$(date +%Y%m%d-%H%M%S)
echo "RESTORE_PATH=$HOME/.gstack/projects/$SLUG/${BRANCH}-autoplan-restore-${DATETIME}.md"
```
Write the plan file's full contents to the restore path with this header:
Before scope/review:
```bash
bun "<SNAPSHOT_TOOL>" init "<SOURCE_PLAN>" "<ACTIVE_PLAN>" "<RESTORE_PATH>"
```
# /autoplan Restore Point
Captured: [timestamp] | Branch: [branch] | Commit: [short hash]
## Re-run Instructions
1. Copy "Original Plan State" below back to your plan file
2. Invoke /autoplan
## Original Plan State
[verbatim plan file contents]
```
Then prepend a one-line HTML comment to the plan file:
`<!-- /autoplan restore point: [RESTORE_PATH] -->`
Use returned paths/`scope`; never hand-wrap. init backs up SOURCE_PLAN exactly,
then initializes ACTIVE_PLAN atomically without losing requirements.
Reviewers get only `## Implementation plan`; analysis stays in `## Review record`,
including structured inputs. On helper errors, stop; no stderr hiding/grep fallback.
Re-run: copy RESTORE_PATH's bytes to SOURCE_PLAN, then /autoplan.
### Step 2: Read context
@@ -723,22 +736,33 @@ Then prepend a one-line HTML comment to the plan file:
- Detect UI scope: grep the plan for view/rendering terms (component, screen, form,
button, modal, layout, dashboard, sidebar, nav, dialog). Require 2+ matches. Exclude
false positives ("page" alone, "UI" in acronyms).
- Detect DX scope: grep the plan for developer-facing terms (API, endpoint, REST,
GraphQL, gRPC, webhook, CLI, command, flag, argument, terminal, shell, SDK, library,
package, npm, pip, import, require, SKILL.md, skill template, Claude Code, MCP, agent,
OpenClaw, action, developer docs, getting started, onboarding, integration, debug,
implement, error message). Require 2+ matches. Also trigger DX scope if the product IS
a developer tool (the plan describes something developers install, integrate, or build
on top of) or if an AI agent is the primary user (OpenClaw actions, Claude Code skills,
MCP servers).
- Use init's full-input `scope`. For changed input or semantic enabling flags, rerun:
```bash
bun "<SNAPSHOT_TOOL>" scope "<ACTIVE_PLAN>"
```
Use returned `dxRequired` (initially `scope.dxRequired`) and record its input hash/matched terms. The existing
threshold is 2+ term matches (occurrences, not distinct terms). Also enable DX when the product is a developer tool
(developers install, integrate or build on it) or an AI agent is the primary user:
add `--developer-tool` or `--agent-primary` to this command. These flags only enable
DX; no context label can negate a positive result. Skip DX only when the result is
false and neither semantic trigger applies.
### Step 3: Load skill files from disk
Read each file using the Read tool:
- `~/.claude/skills/gstack/plan-ceo-review/SKILL.md`
- `~/.claude/skills/gstack/plan-design-review/SKILL.md` (only if UI scope detected)
- `~/.claude/skills/gstack/plan-eng-review/SKILL.md`
- `~/.claude/skills/gstack/plan-devex-review/SKILL.md` (only if DX scope detected)
### Step 3: Locate review skills; load each at phase entry
Resolve this phase's source to absolute `<REVIEW_SKILL>`; load via its checkpoint:
- Phase 1: `~/.claude/skills/gstack/plan-ceo-review/SKILL.md`
- Phase 2: `~/.claude/skills/gstack/plan-design-review/SKILL.md` (only if UI scope detected)
- Phase 2.5: `~/.claude/skills/gstack/plan-devex-review/SKILL.md` (only if DX scope detected)
- Phase 3: `~/.claude/skills/gstack/plan-eng-review/SKILL.md`
Use the same installed skill registry as /autoplan. Resolve sibling paths from its
discovered SKILL.md directory, never cwd/runtime assets. Missing skill: report the
missing phase and setup repair; never substitute another harness or claim completion.
Do not prefetch future phase sections or review skills. Read each at its trigger;
load the tasks aggregator at Phase 4. All applicable skills and required lazy
sections still run in full.
**Section skip list — when following a loaded skill file, SKIP these sections
(they are already handled by /autoplan):**
@@ -759,63 +783,57 @@ Read each file using the Read tool:
Follow ONLY the review-specific methodology, sections, and required outputs.
Output: "Here's what I'm working with: [plan summary]. UI scope: [yes/no]. DX scope: [yes/no].
Loaded review skills from disk. Starting full review pipeline with auto-decisions."
Review skills will load at each phase entry. Starting full review pipeline with auto-decisions."
---
## Phase 0.5: Codex auth + version preflight
Before invoking any Codex voice, preflight the CLI: verify auth (multi-signal) and
warn on known-bad CLI versions. This is infrastructure for all 4 phases below —
source it once here and the helper functions stay in scope for the rest of the
workflow.
## Phase 0.5: Outside reviewer preflight
```bash
# Codex preflight: one block (functions sourced here don't persist to later blocks).
_TEL=$(~/.claude/skills/gstack/bin/gstack-config get telemetry 2>/dev/null || echo off)
_CODEX_CFG=$(~/.claude/skills/gstack/bin/gstack-config get codex_reviews 2>/dev/null || echo enabled)
source ~/.claude/skills/gstack/bin/gstack-codex-probe
# Master switch first: codex_reviews=disabled turns off ALL Codex work globally,
# including autoplan's own dual-voice orchestration. Honor it before probing.
source ~/.claude/skills/gstack/bin/gstack-codex-probe 2>/dev/null || true
if [ "$_CODEX_CFG" = "disabled" ]; then
echo "[codex disabled by config — Claude-only voices] Re-enable: gstack-config set codex_reviews enabled"
_CODEX_AVAILABLE=false
# Check Codex binary. If missing, tag the degradation matrix and continue
# with Claude subagent only (autoplan's existing degradation fallback).
_CODEX_MODE="disabled"
# Running-under-Codex presence probe (#2519): a live Codex session exports
# CODEX_THREAD_ID / CODEX_SANDBOX into every shell it spawns (verified
# against a live `codex exec 'env | grep -i codex'` capture, codex 0.147.0).
# Nested codex spawns from inside a Codex host multiply token burn
# (observed: one /review = 15M tokens). A stale own-harness artifact must stop.
elif { [ -n "${CODEX_THREAD_ID:-}" ] || [ -n "${CODEX_SANDBOX:-}" ] || [ "${GSTACK_ACTIVE_HOST:-}" = codex ]; }; then
_CODEX_MODE="under_codex"
elif ! command -v codex >/dev/null 2>&1; then
_gstack_codex_log_event "codex_cli_missing"
echo "[codex-unavailable: binary not found] — proceeding with Claude subagent only"
_CODEX_AVAILABLE=false
elif ! _gstack_codex_auth_probe >/dev/null; then
_gstack_codex_log_event "codex_auth_failed"
echo "[codex-unavailable: auth missing] — proceeding with Claude subagent only. Run \`codex login\` or set \$CODEX_API_KEY to enable dual-voice review."
_CODEX_AVAILABLE=false
# Round-trip model probe (#2477): auth can pass while gstack's selected
# model is rejected with an HTTP 400 (model entitlement or override mismatch).
# ~10s on first run, cached 1h; timeouts fail open (probe returns 0).
# Exit 2 = broken install (#2742: spawn ENOENT / non-executable binary /
# missing vendor payload) — a different problem with a different fix, so
# capture the code instead of testing truthiness.
_CODEX_MODE="not_installed"; _gstack_codex_log_event "codex_cli_missing" 2>/dev/null || true
elif ! _gstack_codex_auth_probe >/dev/null 2>&1; then
_CODEX_MODE="not_authed"; _gstack_codex_log_event "codex_auth_failed" 2>/dev/null || true
else
# Capture the probe's code: 2 means the CLI cannot execute at all, which is a
# different problem (and a different fix) from a model the account can't use.
_gstack_codex_model_probe; _CODEX_MP=$?
if [ "$_CODEX_MP" -eq 2 ]; then
echo "[codex-unavailable: binary cannot run] — proceeding with Claude subagent only. Reinstall: \`npm install -g @openai/codex\` (#2742)."
_CODEX_AVAILABLE=false
_CODEX_MODE="broken_install"
elif [ "$_CODEX_MP" -ne 0 ]; then
echo "[codex-unavailable: selected model rejected] — proceeding with Claude subagent only. Set GSTACK_CODEX_MODEL=<supported-model> or pass an explicit -c model=... override."
_CODEX_AVAILABLE=false
_CODEX_MODE="model_unusable"
else
_gstack_codex_version_check # non-blocking warn if known-bad
_CODEX_AVAILABLE=true
_CODEX_MODE="ready"; _gstack_codex_version_check 2>/dev/null || true
fi
fi
echo "CODEX_MODE: $_CODEX_MODE"
```
If `_CODEX_AVAILABLE=false`, all Phase 1-3 Codex voices below degrade to
`[codex-unavailable]` in the degradation matrix. /autoplan completes with
Claude subagent only — saves token spend on Codex prompts we can't use.
Branch on the echoed `CODEX_MODE`:
- **`disabled`** — the user turned Codex reviews off (`codex_reviews=disabled`). Skip the Codex passes only; the Claude adversarial subagent below STILL runs (it is free and fast). Print: "Codex passes skipped (codex_reviews disabled) — running Claude adversarial only."
- **`not_installed`** — Codex CLI absent. Print: "Codex not installed — falling back to a Claude subagent (fresh context, but the same harness; model identity is unknown). Install Codex for an actual outside-model read: `npm install -g @openai/codex`." Fall back to the Claude subagent path.
- **`under_codex`** — stale artifact selected its own harness. Print: "Codex outside review unavailable: harness mismatch; no outside process started. Missing coverage. Repair: setup --host codex." Skip the outside invocation and follow the workflow's native-review instructions below. Conflicting inherited harness markers are not grounds to guess another provider.
- **`not_authed`** — installed but no credentials. Print: "Codex installed but not authenticated — falling back to a Claude subagent (same harness; model identity is unknown). Run `codex login` or set `$CODEX_API_KEY`." Fall back to the Claude subagent path.
- **`broken_install`** — the CLI is on PATH but cannot execute (spawn ENOENT, non-executable binary, missing vendor payload). Print: "Codex is installed but its binary cannot run — Codex passes skipped. Reinstall: `npm install -g @openai/codex`." Relay the probe's HINT lines and fall back to the Claude subagent path. This state exists because a missing binary used to land in the model probe's fail-open bucket and report `ready`, so every Codex pass was skipped silently (#2742).
- **`model_unusable`** — authed but the account cannot use gstack's selected Codex model (#2477: HTTP 400 on every call). Relay the probe's HINT lines, tell the user the one-line fix (set `GSTACK_CODEX_MODEL=<supported-model>` or pass an explicit `-c model=...` override), and fall back to the Claude subagent path. The ~10s round trip is cached for 1h; timeouts fail open to `ready`.
- **`ready`** — run the Codex pass below.
Disabled/unavailable: retain each applicable native pass. Recheck before each outside dispatch. Track provider and completed/unavailable/disabled/skipped per phase; CEO completion covers only CEO. Missing voices: N/A, never CONFIRMED. Skipped scope stays skipped.
---
## Phase 1: CEO Review (Strategy & Scope)
@@ -1051,24 +1069,28 @@ If Phase 2.5 ran (DX scope):
~/.claude/skills/gstack/bin/gstack-review-log '{"skill":"plan-devex-review","timestamp":"'"$TIMESTAMP"'","status":"STATUS","initial_score":N,"overall_score":N,"product_type":"TYPE","tthw_current":"TTHW","tthw_target":"TARGET","unresolved":N,"via":"autoplan","commit":"'"$COMMIT"'"}'
```
Dual voice logs (one per phase that ran):
Dual voice logs (always write all four phase records, sharing this runs TIMESTAMP; never carry a prior runs completion forward):
```bash
~/.claude/skills/gstack/bin/gstack-review-log '{"skill":"autoplan-voices","timestamp":"'"$TIMESTAMP"'","status":"STATUS","source":"SOURCE","phase":"ceo","via":"autoplan","consensus_confirmed":N,"consensus_disagree":N,"commit":"'"$COMMIT"'"}'
~/.claude/skills/gstack/bin/gstack-review-log '{"skill":"autoplan-voices","run_id":"AUTOPLAN_RUN_ID","timestamp":"'"$TIMESTAMP"'","status":"STATUS","source":"SOURCE","host":"claude","outside_provider":"codex","outside_status":"OUTSIDE_STATUS","phase":"ceo","via":"autoplan","consensus_confirmed":N,"consensus_disagree":N,"commit":"'"$COMMIT"'"}'
~/.claude/skills/gstack/bin/gstack-review-log '{"skill":"autoplan-voices","timestamp":"'"$TIMESTAMP"'","status":"STATUS","source":"SOURCE","phase":"eng","via":"autoplan","consensus_confirmed":N,"consensus_disagree":N,"commit":"'"$COMMIT"'"}'
~/.claude/skills/gstack/bin/gstack-review-log '{"skill":"autoplan-voices","run_id":"AUTOPLAN_RUN_ID","timestamp":"'"$TIMESTAMP"'","status":"STATUS","source":"SOURCE","host":"claude","outside_provider":"codex","outside_status":"OUTSIDE_STATUS","phase":"eng","via":"autoplan","consensus_confirmed":N,"consensus_disagree":N,"commit":"'"$COMMIT"'"}'
```
If Phase 2 ran (UI scope), also log:
Always log the design phase. If it had no UI scope, use status and outside_status "skipped", source "none", and zero consensus counts:
```bash
~/.claude/skills/gstack/bin/gstack-review-log '{"skill":"autoplan-voices","timestamp":"'"$TIMESTAMP"'","status":"STATUS","source":"SOURCE","phase":"design","via":"autoplan","consensus_confirmed":N,"consensus_disagree":N,"commit":"'"$COMMIT"'"}'
~/.claude/skills/gstack/bin/gstack-review-log '{"skill":"autoplan-voices","run_id":"AUTOPLAN_RUN_ID","timestamp":"'"$TIMESTAMP"'","status":"STATUS","source":"SOURCE","host":"claude","outside_provider":"codex","outside_status":"OUTSIDE_STATUS","phase":"design","via":"autoplan","consensus_confirmed":N,"consensus_disagree":N,"commit":"'"$COMMIT"'"}'
```
If Phase 2.5 ran (DX scope), also log:
Always log the DX phase. If it had no developer-facing scope, use status and outside_status "skipped", source "none", and zero consensus counts:
```bash
~/.claude/skills/gstack/bin/gstack-review-log '{"skill":"autoplan-voices","timestamp":"'"$TIMESTAMP"'","status":"STATUS","source":"SOURCE","phase":"dx","via":"autoplan","consensus_confirmed":N,"consensus_disagree":N,"commit":"'"$COMMIT"'"}'
~/.claude/skills/gstack/bin/gstack-review-log '{"skill":"autoplan-voices","run_id":"AUTOPLAN_RUN_ID","timestamp":"'"$TIMESTAMP"'","status":"STATUS","source":"SOURCE","host":"claude","outside_provider":"codex","outside_status":"OUTSIDE_STATUS","phase":"dx","via":"autoplan","consensus_confirmed":N,"consensus_disagree":N,"commit":"'"$COMMIT"'"}'
```
SOURCE = "codex+subagent", "codex-only", "subagent-only", or "unavailable".
Generate one unique AUTOPLAN_RUN_ID at run start and substitute the same value in all four records. SOURCE = "codex" only for completed external output; use separate "in-host" records for native results. OUTSIDE_STATUS is phase-specific: completed, unavailable, disabled, or skipped. Never reuse one phase's success for another phase. Keep unknown model identity unknown; preserve multi-model usage when reported.
For this phase (autoplan), retain the historical review-log skill identifier. Add `"host":"claude","outside_provider":"codex","outside_status":"completed|unavailable|disabled|skipped","phase":"autoplan"`. Record each attempted pass separately when outcomes differ. Use `source:"codex"` only for completed external CLI output, and `source:"in-host"` for a native pass. Historical `source:"claude"` continues to mean a native Claude subagent. CLI availability or a native fallback does not count as outside completion. Preserve reported modelUsage, including multiple models; unknown model identity stays unknown.
Present a phase-by-phase coverage table (CEO, design, DX, eng) with host, outside provider, outside status, native completion, and findings. Report partial coverage explicitly.
Replace N values with actual consensus counts from the tables.
Suggest next step: `/ship` when ready to create the PR.