メニュー
Phase 6 — Generate the REVIEW.md report by walking the append-only review tree. Optionally create GitHub Issues.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | publish-review |
| description | Phase 6 — Generate the REVIEW.md report by walking the append-only review tree. Optionally create GitHub Issues. |
| argument-hint | ["--no-github-issues"] |
| user-invocable | true |
| allowed-tools | Bash, Read, Write, Edit, Glob, Grep |
Run from the repo root. Requires the completed review tree in .review/.
Look for the roboree scripts path in the system prompt (it will say "roboree scripts are at: "). Use that path:
python <r2-scripts-path>/build_report.py \
--review-dir .review/ \
--config .review/config.json \
--output REVIEW.md
Then generate the styled HTML report:
python <r2-scripts-path>/build_html_report.py \
--review-dir .review/ \
--config .review/config.json \
--output REVIEW.html
Both scripts walk the append-only tree:
dedup.json)issue.json + investigation.json + votes.json + response.json for eachThe HTML version is self-contained (no external dependencies) with collapsible issue cards, severity badges, agreement bars, and model vote details. It prints well too.
Check if $ARGUMENTS contains --no-github-issues. If not, create issues on the repo.
Read paper_repo from .review/config.json. For each confirmed canonical issue with severity != not_an_issue:
gh issue create --repo <paper_repo> \
--title "<severity>: <title>" \
--body "<issue description with evidence>" \
--label "<severity>,<spotter>"
All links should be pinned to the paper_commit SHA from config.
Important: Ask the user for confirmation before creating GitHub Issues.
git add -A
git commit -m "review: complete"
Report: link to REVIEW.md, number of GitHub Issues created (if any).
Add a custom issue spotter for the paper review. Describe what to look for and this will create the spotter file.
Phase 1 — Run the chunks x issue_spotters cross-product to find candidate issues. Uses edsl for parallel LLM review.
Phase 3 — Deduplicate confirmed issues by writing a dedup.json mapping file. No files are moved or modified.
Draft author responses for each confirmed issue. Writes response.json next to each issue (append-only).
One-shot holistic referee review of the full paper. Issues are written to .review/holistic/ as append-only issue.json files.
Phase 2 — Investigate candidate issues. Writes investigation.json next to each issue.json with evidence and a confirm/reject verdict.