FEAT: GPT5 reviewer of the PR -- add comment to resulting PR.

[mmcky]

I would like to implement a reviewer for the resulting Claude Sonnet 4.5 that evaluates the PR using GPT5 and leaves a review comment on the resulting PR at the time of setting up the PR to assist with human review.

I have done some testing with this prompt

This is a test repository for action-translation-sync and we have setup 16 PRs that test various edits to the files. I would like you to work through them one by one and evaluate the resulting PR in test-translation-sync.zh-cn. Each test PR has a link embedded in the PR (are you able to follow those to match the Source PR with the Target PR?)

for bulk testing and it is making useful comments (Sample output as a comment below)

• I would like to extend this action to have a reviewer mode for the TARGET repository.

---

Suggested implementation:

1. setup target repository (.zh-cn) to use the same extension but in review mode.
2. when a PR is setup with a action-translation-sync tag then run a review.
3. the review will use a different model such as GPT5 to assess the quality of the PR (it will use the link information to see the English changes), and produce a small report on the quality of the resulting PR.

I would like you to evaluate this PR comparing to the SOURCE pull request (identified in the comment section of this PR) to check the consistency and quality of the translation. The languages are from ENGLISH to CHINESE.

[mmcky]

SAMPLE REPORT OUTPUT FROM GPT5

@nisha617 and @HumphreyYang -- this GPT5 review looks promising of the 16 tests.

Translation Evaluation Matrix (en → zh-cn)

Date: 2025-10-28
Scope: 16 source PRs in QuantEcon/test-translation-sync and their paired PRs in QuantEcon/test-translation-sync.zh-cn

Legend

• Verdict: PASS = translated changes align with source intent/structure; Minor delta = expected line/format differences in zh-cn
• Adds/Deletes: “src +a/-d → zh +a/-d” (when src counts were available; else only zh shown)

Methodology

• Pairing: Identified zh-cn PRs via explicit “Source PR: #” in PR bodies and matching branch refs (translation-sync-…-pr-).
• Verification: Compared the single changed file and additions/deletions on both sides; inspected patches for sampled pairs.
• Tools: GitHub REST API and authenticated GitHub CLI (gh api) with outputs saved to /tmp to avoid interactive hangs.

Source PR	Target PR	File	Adds/Deletes	Verdict	Notes
#308	zh-cn #274	lecture-minimal.md	+1/-1 → +1/-1	PASS	Faithful update of intro sentence; headings unchanged; formatting intact.
#309	zh-cn #275	lecture-minimal.md	+1/-1 → +2/-2	PASS (minor delta)	Slight extra line breaks/spacing in zh-cn; semantics preserved.
#310	zh-cn #276	lecture-minimal.md	+2/-2 → +2/-2	PASS	Section content strengthened; mirrored in zh-cn.
#311	zh-cn #277	lecture-minimal.md	+6/-6 → +7/-7	PASS (minor delta)	Reordered sections reflected in zh-cn; counts slightly higher due to formatting.
#312	zh-cn #279	lecture-minimal.md	+4/-0 → +5/-0	PASS (minor delta)	Added subsection mirrored; one extra line likely Markdown break.
#313	zh-cn #278	lecture-minimal.md	+0/-6 → +0/-7	PASS (minor delta)	Removal of “Economic Models” reflected; extra trailing newline removal.
#314	zh-cn #280	lecture-minimal.md	+3/-1 → +4/-1	PASS (minor delta)	Added “Market Equilibrium” subsection mirrored; spacing diff.
#315	zh-cn #281	lecture-minimal.md	+9/-5 → +12/-7	PASS (minor delta)	Expanded intro mirrored with natural zh wording; more wraps.
#316	zh-cn #285	lecture.md	+20/-12 → +22/-14	PASS (minor delta)	Broad content enhancements mirrored; lists/Math preserved.
#317	zh-cn #282	lecture.md	(zh) +13/-0	PASS	Adds-only content mirrored; structure consistent with source intent.
#318	zh-cn #283	lecture.md	(zh) +4/-2	PASS	Small edits mirrored; headings stable.
#319	zh-cn #286	lecture.md	(zh) +6/-6	PASS	Balanced edits mirrored; likely rephrase and cleanup.
#320	zh-cn #288	lecture.md	(zh) +9/-9	PASS	Symmetric edit mirrored; formatting consistent.
#321	zh-cn #284	lecture.md	(zh) +0/-55	PASS	Bulk removal mirrored; no residual artifacts noted.
#322	zh-cn #287	lecture-minimal.md	(zh) +0/-5	PASS	Deletions mirrored; sections remain coherent in zh.
#323	zh-cn #289	lecture-minimal.md	(zh) +7/-7	PASS	Symmetric edit mirrored; titles/sections consistent.

Spot checks

• #308 → zh-cn #274

  • en: “This document provides a comprehensive introduction to economic principles with updated content and examples.”
  • zh: “本文档提供了包含更新内容和示例的经济学原理全面介绍。”
  • Assessment: Faithful, fluent; keeps nuance of “comprehensive” and “updated”.

• #314 → zh-cn #280 (Market Equilibrium subsection)

  • en: “Market equilibrium occurs when supply equals demand … stable state … no inherent pressure for prices to change.”
  • zh: “市场均衡发生在供给等于需求时……处于稳定状态……不存在推动价格变化的内在压力。”
  • Assessment: Accurate terminology (“市场均衡”), correct causal phrasing; reads naturally.

• #316 → zh-cn #285 (lecture.md enhancements)

  • en adds cover applied examples and property lists (e.g., associativity/commutativity).
  • zh mirrors list items and economics applications (e.g., Leontief systems), preserving math blocks and code fences.
  • Assessment: Structure and technical terms preserved; formatting maintained.

Additional spot checks (via gh CLI)

• #320 → zh-cn #288 (lecture.md, vectors/matrices formalization)

  • Change: adds explicit “∈ ℝ^n” and “∈ ℝ^{m×n}” to math displays.
  • zh mirrors these exactly in Chinese contexts; math blocks preserved.
  • Adds/Deletes seen: src 6/6; zh 9/9 (extra wrapping in zh). Quality: Accurate, formatted correctly.

• #323 → zh-cn #289 (lecture-minimal.md, section reorder)

  • Change: reorders “Supply and Demand” after “Economic Models”.
  • zh updates heading-map order and section placement consistently.
  • Adds/Deletes seen: src 6/6; zh 7/7 (heading-map adjustment). Quality: Structure parity maintained.

• #317 → zh-cn #282 (lecture.md, “Closure Property” subsection add)

  • Change: adds a “Closure Property” subsection with a formal line and explanation.
  • zh mirrors heading, explanation, and formula; terminology “封闭性质” is correct.
  • Adds/Deletes seen: src 12/0; zh 13/0. Quality: Faithful and fluent.

Rubric (sampled pairs)

Pair	Accuracy	Fluency	Terminology	Formatting	Notes
#320 → zh-cn #288	5	5	5	5	Math qualifiers (∈ ℝ^n, ℝ^{m×n}) mirrored; code/math blocks intact.
#323 → zh-cn #289	5	5	5	5	Section reorder and heading-map updated consistently.
#317 → zh-cn #282	5	5	5	5	New subsection translated precisely; formula preserved; term “封闭性质”.

Overall assessment

• 16/16 pairs found and evaluated. All target PRs reference their source PR explicitly and touch exactly one file matching the source filename.
• Translation quality is consistently good: semantics preserved, terminology appropriate (e.g., 供给与需求, 市场均衡, 经济模型), and formatting (headings, lists, math, code blocks) maintained.
• Minor deviations in additions/deletions on zh-cn are expected due to line wrapping, Chinese punctuation, and Markdown soft breaks—they don’t indicate content drift.

[HumphreyYang]

Hi @mmcky,

I went through all these PRs and I think they are a very nice first step for migrating changes.

Some of the sentences are a bit mechanical and unnatural, but I think we cannot avoid this.

So I think the workflow would involve me or Nisha doing some minor edits to the language.

We can try to add a sentence in the prompt asking it to be more natural but I think it is good enough as a "migrator"!

Another possible use case is to migrate an entire lecture to the chinese series. Would that be a good test case as well?

Other than that, everything looks great to me! This will help a lot!

[mmcky]

thanks @HumphreyYang. Nice feedback.

I am thinking through the pipeline of changes and my focus here was to build a reliable way to sync two documents in different languages. I think the current implementation does that pretty well.

Another possible use case is to migrate an entire lecture to the chinese series. Would that be a good test case as well?

Absolutely. this project has a full translator mode, I will add that a test case!

I am also thinking of asking another LLM (GPT5) to write a comment on the output. Interesting that gpt5 thinks the language is Accurate terminology (“市场均衡”), correct causal phrasing; reads naturally. 😆

I am trying to break things into chunks (rather than one big black box) so sounds like action-translate-reviewer could provide automatic review comments on PRs and possible suggestions to focus on readability and style-guide type elements to them.

[mmcky]

Consider setting this up as action-translate-reviewer and it would have two functions to start with:

1. automatic PR review assessment and quality score
2. provide suggestions for improving specific aspects of translated documents (ie. focus on flow of writing and readability).

[mmcky]

I just added an Opus 4.5 reviewer, but a GPT5 enabled reviewer could also be useful.