Review response matrix
Skill StaryMoon/review-response-matrix-skill/skills/review-response-matrix
Convert peer-review text into a traceable reviewer-comment matrix and response draft with stable IDs, categories, priorities, evidence fields, manuscript locations, owners, and completion status. Use for conference rebuttals, journal revisions, artifact reviews, design reviews, or any multi-comment response process.From its SKILL.md
npx -y skills add StaryMoon/review-response-matrix-skill --skill review-response-matrixAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.6 KB, 267 tokens by cl100k_base, as published. Nobody here has run it
Review Response Matrix
Turn every reviewer concern into a trackable unit. Preserve the original wording; summaries help navigation but must never replace the source comment.
Workflow
- Save the complete reviews as Markdown or plain text. Keep reviewer headings when available.
- Initialize the matrix:
python3 scripts/build_response_matrix.py reviews.md --output output/review-response
- Inspect
matrix.csv. Correct comment boundaries before drafting responses. - For each ID, fill
response,action,evidence, andmanuscript_location. Usenot_applicableonly with a reason. - Run validation after editing:
python3 scripts/build_response_matrix.py --validate output/review-response/matrix.csv
- Use
response-draft.mdas a working document, then adapt it to venue length and formatting rules.
Quality rules
- Do not invent experiments, numbers, citations, or manuscript changes.
- Quote enough of the original comment to make the response auditable.
- Separate acknowledgement, answer, evidence, and manuscript change.
- Mark promises as
planned, notdone. - Keep stable IDs when comments are reordered.
See references/response-patterns.md for concise response structures.
What ships with it: 3 files
7.3 KB alongside SKILL.md, 1 of them executable
agents/
- openai.yaml247 B
references/
- response-patterns.md629 B
scripts/
- build_response_matrix.pyruns6.4 KB