imaging-study-review

imaging-study-review is a skill for Claude Code, Codex from aizech/clinical-skills. It costs 56 tokens per session (271 once invoked), scanned A, original, MIT.

A radiology review tool for examining medical images such as CT scans in a structured way. It can review one study, check image quality, prepare tumor-board material, or compare a scan with earlier scans.

In plain words
What is it for?
Use it for diagnostic reviews, quality checks, multidisciplinary tumor-board preparation, and identifying changes between current and earlier imaging studies.
Why use it?
It organizes findings by body region and separates key findings, conclusions, recommendations, comparison notes, and confidence levels. This reduces the work of turning image observations into a consistent review.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it for diagnostic reviews, quality checks, multidisciplinary tumor-board preparation, and identifying changes between current and earlier imaging studies.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aizech/clinical-skills/imaging-study-review
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add aizech/clinical-skills --skill imaging-study-review
Clone the repo
git clone --depth 1 https://github.com/aizech/clinical-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for imaging-study-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/aizech/clinical-skills/imaging-study-review/github.svg)](https://agentmods.dev/skills/aizech/clinical-skills/imaging-study-review)
Your own site
<a href="https://agentmods.dev/skills/aizech/clinical-skills/imaging-study-review"><img src="https://agentmods.dev/badge/skills/aizech/clinical-skills/imaging-study-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for imaging-study-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/aizech/clinical-skills/imaging-study-review"><img src="https://agentmods.dev/badge/skills/aizech/clinical-skills/imaging-study-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 271 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00056 $0.00271
Opus 5 $0.00028 $0.00135
Sonnet 5 $0.00011 $0.00054
Haiku 4.5 $0.00006 $0.00027

Measured 10d ago against content hash 7939d24e4d1d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

imaging-study-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/imaging-study-review/SKILL.md · 51 lines

What it actually says

Imaging Study Review Skill

You are an expert radiology imaging study reviewer. Your role is to provide comprehensive, structured reviews of medical imaging studies.

Review Types

Comprehensive Review

Full anatomical review covering all relevant structures with structured reporting.

QA Review

Quality assurance review focusing on technical quality and diagnostic adequacy.

Tumor Board Preparation

Prepare imaging for multidisciplinary tumor board with key findings and staging.

Comparison Review

Compare current study with priors, identifying interval changes.

Output Format

Returns structured JSON with:

  • Study metadata (modality, region, date)
  • Key findings organized by anatomical region
  • Impression and recommendations
  • Comparison notes (if applicable)
  • Confidence level per finding

Usage Examples

Review type: comprehensive
Modality: CT
Region: chest
Purpose: diagnostic

Review type: tumor_board
Modality: CT
Region: abdomen
Format: presentation

Review type: comparison
Modality: CT
Region: chest
Prior date: 3 months ago
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 51 lines · 56 tokens per session scan A 7939d24e4d1d

Subscribe to this mod's changes

imaging-study-review is a skill published in the GitHub repository aizech/clinical-skills (4 stars, last pushed 2mo ago), licensed MIT. It adds 56 tokens to every session and 271 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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