rubric-writer_skill

This skill writes a complete referee report grounded in extracted claims and evidence gaps, identifying actionable fixes for novelty, soundness, clarity, and
  • Python

109

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill willoscar/research-units-pipeline-skills --skill rubric-writer

  • SKILL.md4.1 KB

Overview

This skill writes a rubric-based peer review report (output/REVIEW.md) grounded in extracted claims and evidence gaps. It produces a concise referee report that evaluates novelty, soundness, clarity, and impact, and gives actionable, evidence-backed fixes rather than generic suggestions.

How this skill works

The skill reads output/CLAIMS.md and output/MISSING_EVIDENCE.md (and optionally output/NOVELTY_MATRIX.md or DECISIONS.md). It summarizes contributions, evaluates each rubric axis with direct references to extracted claims and missing evidence, and produces major and minor actionable items plus a final recommendation. All critiques are traceable to the provided artifacts.

When to use it

  • Final stage of a peer-review pipeline when output/CLAIMS.md and output/MISSING_EVIDENCE.md exist
  • When you need a referee-style REVIEW.md for submission or internal review
  • When you require concrete, reproducibility-focused feedback tied to extracted claims
  • When you want an evidence-first referee report that separates major vs minor issues

Best practices

  • Ensure output/CLAIMS.md and output/MISSING_EVIDENCE.md are complete before running the skill
  • Provide output/NOVELTY_MATRIX.md if you want a more detailed novelty evaluation
  • Keep the extracted claims concise and numbered so critiques can cite them directly
  • Use the DECISIONS.md file if a specific reviewer format or decision label is required
  • Prefer precise missing-evidence entries (which baseline/dataset/metric) to enable actionable fixes

Example use cases

  • Generate a referee report for an internal pre-submission check based on extracted claims
  • Produce a reproducibility audit stating exactly which protocol/baseline details are missing
  • Convert a claims+gaps artifact into a reviewer-style decision letter for program committees
  • Create an author-facing checklist tied to major issues that must be addressed before resubmission

FAQ

The skill will skip report generation; it requires both files. Populate those inputs first so critiques can be grounded in evidence.

Will the skill rewrite the paper or add new experiments?

No. The skill focuses on critique and minimal, actionable fixes. It avoids rewriting the paper or proposing vague extra experiments.

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rubric-writer skill by willoscar/research-units-pipeline-skills | VeilStrat