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>

test/helpers/llm-judge.ts

@@ -72,14 +72,15 @@ export async function callJudge<T>(
   // GSTACK_EVAL_MODEL_JUDGE > GSTACK_EVAL_MODEL > frontier default. The old
   // inline `GSTACK_EVAL_MODEL_JUDGE || sonnet` silently ignored the global
   // GSTACK_EVAL_MODEL override that every other eval call site honors.
-  // opts (temperature/max_tokens) exist for bounded judgments like armJudge;
-  // defaults preserve prior behavior.
+  // Thinking and answer text share max_tokens. The old 1024-token budget
+  // could be exhausted before a frontier judge emitted any JSON.
   const resolvedModel = resolveEvalModel('judge', model);
+  const maxTokens = opts?.max_tokens ?? 8192;
   const client = new Anthropic();
 
   const makeRequest = () => client.messages.create({
     model: resolvedModel,
-    max_tokens: opts?.max_tokens ?? 1024,
+    max_tokens: maxTokens,
     ...(opts?.temperature !== undefined ? { temperature: opts.temperature } : {}),
     messages: [{ role: 'user', content: prompt }],
   });
@@ -104,6 +105,9 @@ export async function callJudge<T>(
     }
   }
 
+  if (response.stop_reason === 'max_tokens') {
+    throw new Error(`Judge response truncated at max_tokens=${maxTokens} (model=${resolvedModel})`);
+  }
   const text = response.content
     .filter(block => block.type === 'text')
     .map(block => block.text)