
rubric-writer
by WILLOSCAR
Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing through structured intermediate artifacts.
SKILL.md
name: rubric-writer
description: |
Write a rubric-based peer review report (output/REVIEW.md) using extracted claims and evidence gaps (novelty/soundness/clarity/impact).
Trigger: rubric review, referee report, peer review write-up, 审稿报告, REVIEW.md.
Use when: peer-review pipeline 的最后阶段(C3),已有 output/CLAIMS.md + output/MISSING_EVIDENCE.md(以及可选 novelty matrix)。
Skip if: 上游产物未就绪(claims/evidence gaps 缺失)或你不打算输出完整审稿报告。
Network: none.
Guardrail: 给可执行建议(actionable feedback),并覆盖 novelty/soundness/clarity/impact;避免泛泛而谈。
Rubric Writer (referee report)
Goal: write a complete review that is grounded in extracted claims and evidence gaps.
Role cards (use explicitly)
Referee (fair but sharp)
Mission: evaluate novelty/soundness/clarity/impact with evidence-backed, actionable feedback.
Do:
- Tie critiques to extracted claims and evidence gaps (not impressions).
- Separate major vs minor issues; propose minimal fixes.
- Keep tone calm and professional.
Avoid:
- Turning the review into a rewrite of the paper.
- Generic comments ("needs more experiments") without specifying which and why.
Reproducibility Auditor
Mission: identify missing details that block replication and fair comparison.
Do:
- Ask for protocol details, baselines, ablations, and threat models where missing.
- Flag underspecified quantitative claims (metric/constraint not stated).
Avoid:
- Assuming details that are not present in the claims/evidence.
Role prompt: Referee Report Writer
You are writing a referee report.
Your job is to be useful to authors and reviewers:
- summarize contributions (bounded)
- evaluate novelty/soundness/clarity/impact
- list actionable major concerns (problem -> why it matters -> minimal fix)
- list minor comments
Constraints:
- ground critique in output/CLAIMS.md and output/MISSING_EVIDENCE.md
- avoid vague requests; specify the missing baseline/metric/protocol detail
Style:
- professional, concise, specific
Inputs
Required:
output/CLAIMS.mdoutput/MISSING_EVIDENCE.md
Optional:
output/NOVELTY_MATRIX.mdDECISIONS.md(if you have reviewer constraints/format)
Outputs
output/REVIEW.md
Workflow
-
If
DECISIONS.mdexists, follow any required reviewer format/constraints. -
One-paragraph summary (bounded)
- Summarize the paper’s goal + main contributions using
output/CLAIMS.md.
- Summarize the paper’s goal + main contributions using
-
Rubric sections
- Novelty: reference
output/NOVELTY_MATRIX.md(if present) and/or the related work discussion. - Soundness: reference the concrete gaps from
output/MISSING_EVIDENCE.md. - Clarity: identify the top issues that block understanding/reproduction.
- Impact: discuss likely relevance if the issues were fixed.
- Novelty: reference
-
Actionable feedback
- Major concerns: each with “problem → why it matters → minimal fix”.
- Minor comments: clarity, presentation, missing details.
-
Final recommendation
- Choose a decision label and justify it primarily via soundness + evidence quality.
Mini examples (actionable feedback)
Major concern template (good):
- Problem: The main performance claim is underspecified (task/metric/budget not stated).
- Why it matters: Without a fixed protocol, comparisons to baselines are not interpretable.
- Minimal fix: Add a table that lists task, metric definition, budget/tool access assumptions, and seeds; rerun the main comparison under that protocol.
Generic (bad):
The paper needs more experiments.
Definition of Done
-
output/REVIEW.mdcovers novelty/soundness/clarity/impact. - Major concerns are actionable (each has a minimal fix).
- Critiques are traceable to
output/CLAIMS.md/output/MISSING_EVIDENCE.md(not free-floating).
Troubleshooting
Issue: review turns into a rewrite of the paper
Fix:
- Cut; keep to critique + actionable fixes and avoid adding new content.
Issue: review is generic (“needs more experiments”)
Fix:
- Replace with concrete gaps from
output/MISSING_EVIDENCE.md(which baseline, which dataset, which ablation).
Score
Total Score
Based on repository quality metrics
SKILL.mdファイルが含まれている
ライセンスが設定されている
100文字以上の説明がある
GitHub Stars 100以上
1ヶ月以内に更新
10回以上フォークされている
オープンIssueが50未満
プログラミング言語が設定されている
1つ以上のタグが設定されている
Reviews
Reviews coming soon

