A medical-imaging command for evaluating the spine before surgery. It uses whatever CT, MRI, or X-ray data is loaded to combine spinal segmentation, alignment measurements, and clinical classification.

Use it for a full, cervical, or lumbar pre-operative spine evaluation, including segmentation and a sagittal-view screenshot.

It provides one workflow that adjusts to the available scans and shows what data and existing segmentations were found before analysis begins.

How zhangreling02-ai/3dslicer-claude-bridge configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to zhangreling02-ai/3dslicer-claude-bridge. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/zhangreling02-ai/3dslicer-claude-bridge/main/.claude/commands/spine-eval.md

Clone the repo

git clone --depth 1 https://github.com/zhangreling02-ai/3dslicer-claude-bridge

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/zhangreling02-ai/3dslicer-claude-bridge/spine-eval/github.svg)](https://agentmods.dev/commands/zhangreling02-ai/3dslicer-claude-bridge/spine-eval)

Your own site

<a href="https://agentmods.dev/commands/zhangreling02-ai/3dslicer-claude-bridge/spine-eval"><img src="https://agentmods.dev/badge/commands/zhangreling02-ai/3dslicer-claude-bridge/spine-eval/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.

Your own site · 80×15

<a href="https://agentmods.dev/commands/zhangreling02-ai/3dslicer-claude-bridge/spine-eval"><img src="https://agentmods.dev/badge/commands/zhangreling02-ai/3dslicer-claude-bridge/spine-eval.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 819 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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.00819
Opus 5	$0.00000	$0.00409
Sonnet 5	$0.00000	$0.00164
Haiku 4.5	$0.00000	$0.00082

Measured 11d ago against content hash 60dfbd836a6e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

spine-eval 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 11d 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.

.claude/commands/spine-eval.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/spine-eval - Spine Pre-operative Evaluation

Automated pre-operative spine evaluation workflow.

Description

Complete spine evaluation combining segmentation, alignment measurement, and clinical classification. Adapts pipeline based on available data (CT, MRI, or X-ray).

Usage

/spine-eval                  # Full evaluation with all loaded data
/spine-eval cervical         # Focus on cervical region
/spine-eval lumbar           # Focus on lumbar region

Instructions

When the user invokes this command:

1. Inventory loaded data

Call list_scene_nodes() to identify:

Volume nodes (CT, MRI T1/T2, X-ray)
Existing segmentations
Existing markup/landmark nodes

Display what was found:

Spine Evaluation - Data Inventory

Volumes found:
- [node_id]: [description/name] ([modality if detectable])

Segmentations: [list or "none"]

2. Segment spine (if needed)

If no spine segmentation exists:

segment_spine(input_node_id=<volume_id>, region=<region_or_full>)

If $ARGUMENTS specifies a region ("cervical", "thoracic", "lumbar"), use it. Otherwise use "full".

3. Capture initial screenshot

capture_screenshot(view_type="sagittal")

Analyze the image to orient yourself anatomically.

4. Measure alignment

measure_spine_alignment(segmentation_id=<seg_id>, region=<region>)

5. CCJ assessment (if cervical)

If the region includes cervical spine (region is "cervical" or "full"):

measure_ccj_angles(segmentation_node_id=<seg_id>)

6. X-ray measurements (if X-ray loaded)

If a lateral X-ray is available:

measure_sagittal_balance_xray(volume_node_id=<xray_id>)

If an AP X-ray is available:

measure_coronal_balance_xray(volume_node_id=<xray_id>)

7. Bone quality (if CT)

If CT data is available:

analyze_bone_quality(volume_node_id=<ct_id>, segmentation_node_id=<seg_id>)

8. Documentation screenshots

Read the full file on GitHub · 135 lines

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.

11d ago First seen · 135 lines · 0 tokens per session scan A 60dfbd836a6e

Subscribe to this mod's changes

spine-eval is a command published in the GitHub repository zhangreling02-ai/3dslicer-claude-bridge (0 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 819 tokens. 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.

Scientific

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3dslicer-claude-bridge: Command for Claude Code