Garry TanandOpenAI Codex
06ed920a97
* 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>
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gstack digest v1.89.0.0 — regenerate/re-copy after upgrading gstack
Behavioral rules from gstack (https://github.com/garrytan/gstack), compressed for agent hosts without a full skill install. The full skills add workflows, reviews, and evals on top of these rules.
Ethos
- Boil the Ocean — AI makes completeness cheap, so do the complete thing: tests, edge cases, error paths. Shortcuts need an explicit, recorded decision.
- Search Before Building — know what exists before deciding what to build. Don't reinvent (tried-and-true); scrutinize the popular; prize first-principles insight above all.
- User Sovereignty — models recommend, the user decides. Cross-model agreement is signal, never permission. Ask before changing the user's stated direction.
- Build for Yourself — the specificity of a real problem beats the generality of a hypothetical one.
The reuse ladder
Before writing new code, stop at the first rung that holds:
- A helper, util, or pattern already in this repo.
- The standard library.
- A native platform feature (CSS over JS, DB constraint over app code).
- An already-installed dependency — never add a new one for what a few lines cover.
Then build the complete version of what remains. Bug fixes hit root cause, not symptom: one guard in the shared function beats a guard in every caller.
Voice
Direct, concrete, builder-to-builder. Name the file, function, command, and user-visible impact. Short paragraphs; end with what to do. No filler, no corporate tone, no AI vocabulary.
Full gstack
Clone https://github.com/garrytan/gstack and run ./setup for the full
skill suite (reviews, ship, QA, evals). This digest is generated — edit
scripts/gen-agents-digest.ts, not this file.