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>

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

qa/sections/qa-patterns.md

@@ -239,23 +239,36 @@ console.log("ASIDE_DIR=" + pwd); await closeTab(pg); console.log("GSTACK_STEP_OK
 
 Compute each category score (0-100), then take the weighted average.
 
+### Counting
+- Deduplicate the same root cause across pages. Use one primary category, first applicable: Links (navigation), Accessibility (access barriers), Functional (behavior), Performance (speed), Visual (layout), Content (copy), UX (friction), Console (remaining errors). No double deductions.
+- Exclude **untested** categories; label partial scores **provisional** with coverage. None tested: "not scored". Compare only identical coverage.
+
 ### Console (weight: 15%)
+Deduplicate reproducible errors/exceptions by message+source across pages. Exclude warnings, info, and defects scored elsewhere.
 - 0 errors → 100
 - 1-3 errors → 70
 - 4-10 errors → 40
-- 10+ errors → 10
+- 11+ errors → 10
 
 ### Links (weight: 10%)
+Count unique broken destinations, including client-side routes: repeatable 4xx/5xx, missing routes/anchors, or timeouts. Exclude expected auth redirects and resource/API requests.
 - 0 broken → 100
 - Each broken link → -15 (minimum 0)
 
 ### Per-Category Scoring (Visual, Functional, UX, Content, Performance, Accessibility)
-Each category starts at 100. Deduct per finding:
+Start at 100; deduct per finding:
 - Critical issue → -25
 - High issue → -15
 - Medium issue → -8
 - Low issue → -3
-Minimum 0 per category.
+Floor: 0.
+
+Use the highest applicable severity; record impact/workaround:
+- **Critical:** data loss, security/privacy exposure, or core app unusable for all users.
+- **High:** core/major task blocked without a workaround.
+- **Medium:** task impaired but a workaround exists.
+- **Low:** cosmetic/copy/friction issue without lost task completion.
+Console/Links use counts instead.
 
 ### Weights
 | Category | Weight |
@@ -270,7 +283,7 @@ Minimum 0 per category.
 | Accessibility | 15% |
 
 ### Final Score
-`score = Σ (category_score × weight)`
+Use decimal weights (15% = 0.15): `score = Σ (category_score × weight) / Σ tested weights`. Round only the final score to the nearest integer (0.5 rounds up).
 
 ---