Agent skill · Code Review & Quality

evidence-grading

Grade the quality and strength of veterinary evidence using a veterinary-specific evidence hierarchy. Textbooks carry more weight in veterinary medicine than in human medicine. Use when evaluating the reliability of clinical information.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill evidence-grading --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Path: skills/analysis/evidence-grading/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Veterinary Evidence Grading ## Overview Evaluate and grade the quality of evidence supporting veterinary clinical recommendations. The evidence hierarchy in veterinary medicine differs from human medicine in important ways. Due to the relative scarcity of large-scale RCTs, board-certified specialist textbooks carry significantly more clinical weight in veterinary practice than their equivalents do in human medicine. ## When to Use - User asks how strong the evidence is for a treatment or recommendation - User asks whether a clinical claim is well-supported - User wants to compare the evidence behind different treatment options - When synthesizing information from multiple sources of varying quality - Keywords: evidence, evidence-based, strength, quality, level of evidence, recommendation grade, how strong, how reliable ## Veterinary Evidence Hierarchy ### Level I: Strongest Evidence - Systematic reviews and meta-analyses of veterinary RCTs - Large multi-center RCTs in the target species - ACVIM/AAHA/RECOVER consensus statements based on systematic evidence review ### Level II: Strong Evidence - Single-center RCTs in the target species - Well-designed prospective cohort studies wi

What's inside
Steps it walks through
  1. Overview
  2. When to Use
  3. Veterinary Evidence Hierarchy
  4. Level I: Strongest Evidence
  5. Level II: Strong Evidence
  6. Level III: Moderate Evidence
  7. Level IV: Weak Evidence
  8. Level V: Lowest Evidence
  9. Important: Why Textbooks Rank Higher in Veterinary Medicine
  10. Workflow
  11. Output Format
  12. Limitations
Ships with 1 file
  • metadata.json
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About this skill
What does the evidence-grading skill do?

Grade the quality and strength of veterinary evidence using a veterinary-specific evidence hierarchy. Textbooks carry more weight in veterinary medicine than in human medicine. Use when evaluating the reliability of clinical information.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill evidence-grading --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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