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v1.89.0.0 feat: add shared-code extraction audit (#2925)

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* feat: bind shared-code review advice to source and branch

* feat: add shared-code extraction audit and scoped review checks

* test: recognize complete source reads and explicit coverage legends

* chore: bump version and changelog (v1.88.0.0)

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

* test: capture native review questions and retain public evidence

Capture the actual first public native question with strict ownership and display matching. Preserve terminal failures and raw evidence, and retain SDK completion checks.

* test: recognize verified review evidence and complete fixtures

Recognize complete source and diagram evidence, concrete design and developer-experience decisions, and the complete planted scenario contracts. Preserve negative controls and grading thresholds.

* fix: preserve decision brief structure in native questions

Keep the required pros-and-cons heading and final Net field in native question text. Regenerate host outputs and document the release and evaluation repairs.

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

* docs: update project documentation for v1.88.0.0

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

* fix: correct eval retry accounting and ship workflow gates

* fix: capture native eval evidence and stabilize CI fixtures

* fix: keep shared-code eval skips read-only

Choose explicit no-change answers instead of mixed fix/preservation options.
Reuse the bounded revalidation prompt for path fixtures so required review
metadata is available without repeated discovery. Preserve source checks,
retry limits, and failed native terminal outcomes.

Add captured-question and callback regressions, plus evaluation selection
coverage for the affected fixtures.

---------

Co-authored-by: OpenAI Codex <noreply@openai.com>
This commit is contained in:
Garry Tan
2026-09-24 01:53:58 -04:00
committed by GitHub
co-authored by OpenAI Codex
parent b9706f3635
commit 06ed920a97
177 changed files with 13244 additions and 2477 deletions
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test/catalog-budget.test.ts
+8 -6
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@@ -24,13 +24,15 @@ import { skillCensus } from './helpers/skill-census';
* line item, run parseFrontmatter() below and sum
* Buffer.byteLength(name) + Buffer.byteLength(description);
* token-equivalents = ceil(bytes / 4).
* result 53 authored skills = 4,371 bytes (1,093 token-equivalents);
* + root router alias 49 bytes = 4,420 bytes total
* = 1,105 token-equivalents (measured 2026-08-12)
* Ceiling is 1,150 token-equivalents (4,600 bytes), so headroom is 180 bytes
* (~4%). Dominant skill: design-consultation at 229 bytes name+description.
* ref deslop-shared-libs addition on base a6b3a575 (2026-09-16)
* result pre-addition aggregate 4,593 bytes; deslop-shared-libs adds
* 82 bytes (name + concise description), yielding 4,675 bytes
* = 1,169 token-equivalents including the root router alias.
* New-skill ratchet: previous ceiling 1,150 + ceil(82 / 4) = 1,171
* token-equivalents (4,684 bytes), leaving 9 bytes. Existing descriptions
* are unchanged. Dominant skill: design-consultation at 229 bytes.
*/
const CATALOG_BUDGET_TOKEN_EQUIVALENTS = 1_150;
const CATALOG_BUDGET_TOKEN_EQUIVALENTS = 1_171;
// Largest today: design-consultation at 229 bytes. A description that needs
// more than 260 bytes is a body paragraph, not a catalog entry.