v1.84.1.0 fix: default Codex and Claude to frontier models (#2835)

* fix: default cross-model workflows to frontier models

* chore: bump version and changelog (v1.82.1.0)

Co-Authored-By: OpenAI Codex <noreply@openai.com>

* fix: repair frontier eval budgets and workflow instructions

Preserve frontier models and quality thresholds while fixing truncated judge output, ordered section expansion, consent checks, QA scoring, and ship audit gates. Add regression coverage and refresh generated docs.

Co-Authored-By: OpenAI Codex <noreply@openai.com>

* fix: resolve workflow gaps exposed by frontier evals

Clarify plan-review ordering and fallback modes, preserve deploy readiness gates, honor configured merge methods, correct benchmark and canary contracts, and restore vendored installs on setup failure. Cover recovery with real-shell regressions.

Co-Authored-By: OpenAI Codex <noreply@openai.com>

* fix: use agent capture budgets for deploy evals

Multi-turn deploy and benchmark sessions were incorrectly limited to the single-call judge timeout. Use the existing capture tier and leave outer-test cleanup headroom, with a free policy regression test. Keep all behavioral assertions and frontier models unchanged.

Co-Authored-By: OpenAI Codex <noreply@openai.com>

* fix: clarify retro workflow and evaluate compare instructions

Include compare mode in the frontier judge excerpt, define metric sources and snapshot ordering, and preserve the existing prompt-size budget.

Co-authored-by: OpenAI Codex <noreply@openai.com>

* fix: make documentation release review and publication consistent

Review before commit, clarify changelog safeguards and unavailable reviewer modes, and preserve raw PR bodies across separate shell calls. Keep title sync in one shell and add regression coverage.

Co-authored-by: OpenAI Codex <noreply@openai.com>

---------

Co-authored-by: OpenAI Codex <noreply@openai.com>

CHANGELOG.md

@@ -1,5 +1,19 @@
 # Changelog
 
+## [1.84.1.0] - 2026-09-09
+
+### Changed
+- Codex reviews, consultations, and evals now default to GPT-6 Astra. Choose another model with `GSTACK_CODEX_MODEL` or an explicit model in your request; the readiness probe checks that same selection.
+- Claude outside voices and eval capture/judging now default to Fable 5.1. Outside voices accept `GSTACK_CLAUDE_MODEL`; evals retain their explicit and environment model overrides. Warmup and distillation keep their cheaper defaults.
+
+### Fixed
+- Native Codex reviews honor the selected model even when the CLI has a separate review-model pin. Claude judges parse text after thinking blocks, and arm judgments omit the temperature setting Fable does not support.
+- Frontier judges have enough output budget for thinking and JSON. Workflow evals read generated sections in execution order, without duplicated content.
+- Ship and plan reviews keep approval gates with the parent agent, preserve readiness checks, and use project-native test commands. QA scoring and monitoring rules are explicit; Aside drive options wait for a successful readiness probe.
+- Benchmark timing uses the navigation entry's actual fields. Deploy setup collects missing configuration, and failed vendored upgrades restore their backup instead of deleting it.
+- Retro reports distinguish verified merges from PR references, use the session date for snapshots, and define report ordering. The quality eval includes compare-mode instructions instead of cutting them off.
+- Documentation review runs before publication so approved fixes reach the PR. Changelog protection, unavailable-review handling, and raw/enveloped PR-body handling are consistent across the workflow.
+
 ## [1.84.0.0] - 2026-09-09
 
 **gstack's design skills now start with 61 deterministic anti-pattern checks, in your voice, then spend their judgment where a detector cannot.**