Agent skill · Code Review & Quality

reviewing-prior-comparisons

Structures comparison with prior imaging studies to identify interval changes and trends. Use when comparing imaging studies, identifying interval changes, or tracking disease progression.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill reviewing-prior-comparisons --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Declared author: casemark
Path: skills/analysis/reviewing-prior-comparisons/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

# Reviewing Prior Comparisons Structures comparison with prior imaging studies to identify interval changes and trends. ## Why This Skill Exists Comparison with prior imaging studies is the single most valuable tool for distinguishing significant from insignificant findings. The ACR Practice Parameter for Communication of Diagnostic Imaging Findings mandates that radiologists review all reasonably available prior studies and reference them in the report. Studies show that comparison with priors reduces false-positive rates by 20–30% and significantly improves diagnostic confidence. Failure to compare — or failure to note interval change — is a documented driver of diagnostic errors and malpractice claims. The challenge is practical: prior studies may exist across multiple PACS systems, outside institutions, or different modalities. Radiologists must systematically identify relevant priors, account for technique differences, use standardized change-assessment language, and make explicit statements about interval change for every significant finding. Vague comparisons ("similar to prior") without specific dates or measurements are clinically unhelpful and medicolegally indefensible.

What's inside
Steps it walks through
  1. Why This Skill Exists
  2. Checkpoint A: Pre-Draft Intake (Mandatory)
  3. Documents to Request
  4. Step 1: Identify and Prioritize Relevant Prior Studies
  5. Comparison Study Selection Hierarchy
  6. Multi-Timepoint Comparison
  7. Step 2: Technique Comparison Assessment
  8. Step 3: Standardized Interval Change Assessment
  9. Change Descriptors — Use Precise Language
  10. Language to Avoid
  11. Step 4: Structured Comparison Documentation
  12. Per-Finding Comparison Format
  13. Comparison Summary Table (for Multiple Findings)
  14. Step 5: Trending and Longitudinal Assessment
Ships with 1 file
  • metadata.json
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About this skill
What does the reviewing-prior-comparisons skill do?

Structures comparison with prior imaging studies to identify interval changes and trends. Use when comparing imaging studies, identifying interval changes, or tracking disease progression.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill reviewing-prior-comparisons --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.

Keep going