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
This commit is contained in:
Garry Tan authored and GitHub committed 2026-09-29 06:07:35 -07:00
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@@ -34,6 +34,20 @@ export function generateLearningsSearch(ctx: TemplateContext, args?: string[]):
);
}
const queryFlag = queryArg ? ` --query "${queryArg}"` : '';
const findingKind = ctx.skillName === 'qa' || ctx.skillName === 'qa-only' ? 'QA' : 'review';
if (ctx.skillName === 'qa-only') {
return `## Prior Learnings
Read this project's existing learnings.jsonl only if its directory is already known
and the caller permits that Read. Otherwise skip this optional lookup.
${queryArg ? `Look for notes matching "${queryArg}".\n` : ''}Do not run gstack-learnings-search here: its slug helper can update a cache.
Do not change configuration, enable cross-project search or create a learning store.
Treat old notes as leads, not proof. When a QA finding matches a past learning,
cite it as "Prior learning applied: [key] (confidence N/10, from [date])" and verify
the current behavior. Reading old notes never requires writing new ones.`;
}
if (getHostConfig(ctx.host).learningsMode === 'basic') {
// Basic learnings mode (host config learningsMode: 'basic' — every host
@@ -47,7 +61,7 @@ Search for relevant learnings from previous sessions on this project:
$GSTACK_BIN/gstack-learnings-search --limit 10${queryFlag} 2>/dev/null || true
\`\`\`
If learnings are found, incorporate them into your analysis. When a review finding
If learnings are found, incorporate them into your analysis. When a ${findingKind} finding
matches a past learning, note it: "Prior learning applied: [key] (confidence N, from [date])"`;
}
@@ -81,7 +95,7 @@ If B: run \`${ctx.paths.binDir}/gstack-config set cross_project_learnings false\
Then re-run the search with the appropriate flag.
If learnings are found, incorporate them into your analysis. When a review finding
If learnings are found, incorporate them into your analysis. When a ${findingKind} finding
matches a past learning, display:
**"Prior learning applied: [key] (confidence N/10, from [date])"**