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v1.91.7.0 feat: add functional QA and pre-publication docs checks (#2983)
* feat: add surface-aware exploratory QA and ship documentation gates * test: preserve delegated QA setup authority after main integration * fix(qa): clarify exploration order and preserve report artifacts * test(qa): follow the shared setup reference directly * refactor(ship): make verification and recovery routes explicit * test(ship): align evidence and review guards with explicit routes * fix(workflows): clarify ship recovery and functional QA evidence * fix(workflows): clarify approval recovery and full QA coverage * refactor(workflows): order review transactions and clarify ship state * fix(ship): clarify final verification and fail closed at publication * fix(evals): attribute native atomic documentation writes * fix(ship): clarify recovery and documentation lifecycle guidance * fix(test): preserve observed native placeholder styling in CI * fix(codex): report watchdog timeouts without a process-exit race * Checkpoint functional QA implementation and workflow validation repairs * Fix documentation and shared-review fixture contracts * docs: clarify judge reuse and evaluation supervision * test: align review evidence and selected case contracts * test: verify append-only documentation checkpoints and recovery * fix: qualify QA workflows and CI validation repairs * fix: launch shared-libs fixture scripts on Windows * fix: qualify QA deadlines, fixture isolation, and shard cleanup * fix: preserve qualified QA and cancellation repairs * fix: enforce functional fixture authority and share strict event decoding * fix: retain free-test evidence and explain recovery * fix: reject malformed native evidence after decoder consolidation * test: use reliable capture for telemetry privacy filters * test: refresh measured quick coverage and document validation costs * Fix native fixture receipts and preserve VM validation evidence * Align negative judge controls with upstream clarity policy * Fix report-only QA preparation and public evidence handling * Clarify QA-only preparation and current-report preservation * Stream Ship quality judgments with an explicit 64k response contract * Validate compact judge reasoning locally with supported wire schema * Align functional QA fixture instructions with evidence acceptance * Bind native browser diagnostics to execution evidence and align review verdicts * Preserve native diagnostic line boundaries * Serialize functional QA evidence from native captures * Keep large QA evidence fixture payload out of Windows argv
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@@ -34,6 +34,20 @@ export function generateLearningsSearch(ctx: TemplateContext, args?: string[]):
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);
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}
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const queryFlag = queryArg ? ` --query "${queryArg}"` : '';
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const findingKind = ctx.skillName === 'qa' || ctx.skillName === 'qa-only' ? 'QA' : 'review';
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if (ctx.skillName === 'qa-only') {
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return `## Prior Learnings
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Read this project's existing learnings.jsonl only if its directory is already known
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and the caller permits that Read. Otherwise skip this optional lookup.
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${queryArg ? `Look for notes matching "${queryArg}".\n` : ''}Do not run gstack-learnings-search here: its slug helper can update a cache.
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Do not change configuration, enable cross-project search or create a learning store.
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Treat old notes as leads, not proof. When a QA finding matches a past learning,
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cite it as "Prior learning applied: [key] (confidence N/10, from [date])" and verify
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the current behavior. Reading old notes never requires writing new ones.`;
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}
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if (getHostConfig(ctx.host).learningsMode === 'basic') {
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// Basic learnings mode (host config learningsMode: 'basic' — every host
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@@ -47,7 +61,7 @@ Search for relevant learnings from previous sessions on this project:
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$GSTACK_BIN/gstack-learnings-search --limit 10${queryFlag} 2>/dev/null || true
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\`\`\`
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If learnings are found, incorporate them into your analysis. When a review finding
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If learnings are found, incorporate them into your analysis. When a ${findingKind} finding
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matches a past learning, note it: "Prior learning applied: [key] (confidence N, from [date])"`;
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}
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@@ -81,7 +95,7 @@ If B: run \`${ctx.paths.binDir}/gstack-config set cross_project_learnings false\
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Then re-run the search with the appropriate flag.
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If learnings are found, incorporate them into your analysis. When a review finding
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If learnings are found, incorporate them into your analysis. When a ${findingKind} finding
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matches a past learning, display:
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**"Prior learning applied: [key] (confidence N/10, from [date])"**
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