Official agent skill

Dicom Series Preflight

Used for header-only preflight of one DICOM series folder before conversion or inference.

OfficialApache-2.0Auto-check: notesResearch & Science

Install Dicom Series Preflight

skills CLI

$ npx skills add NVIDIA/skills --skill dicom-series-preflight -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install NVIDIA/skills dicom-series-preflight --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dicom-series-preflight .claude/skills/dicom-series-preflight && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "dicom-series-preflight" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/dicom-series-preflight into .claude/skills/dicom-series-preflight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dicom-series-preflight", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/NVIDIA/skills/tree/main/skills/dicom-series-preflight

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add NVIDIA/skills --skill dicom-series-preflight -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install NVIDIA/skills dicom-series-preflight --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dicom-series-preflight .agents/skills/dicom-series-preflight && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "dicom-series-preflight" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/dicom-series-preflight into .agents/skills/dicom-series-preflight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dicom-series-preflight", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add NVIDIA/skills --skill dicom-series-preflight -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install NVIDIA/skills dicom-series-preflight --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dicom-series-preflight .cursor/skills/dicom-series-preflight && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "dicom-series-preflight" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/dicom-series-preflight into .cursor/skills/dicom-series-preflight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dicom-series-preflight", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/NVIDIA/skills.git --path skills/dicom-series-preflight

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add NVIDIA/skills --skill dicom-series-preflight -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install NVIDIA/skills dicom-series-preflight --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dicom-series-preflight .gemini/skills/dicom-series-preflight && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "dicom-series-preflight" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/dicom-series-preflight into .gemini/skills/dicom-series-preflight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dicom-series-preflight", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install NVIDIA/skills dicom-series-preflight

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add NVIDIA/skills --skill dicom-series-preflight -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dicom-series-preflight .github/skills/dicom-series-preflight && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "dicom-series-preflight" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/dicom-series-preflight into .github/skills/dicom-series-preflight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dicom-series-preflight", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add NVIDIA/skills --skill dicom-series-preflight -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install NVIDIA/skills dicom-series-preflight --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dicom-series-preflight .opencode/skills/dicom-series-preflight && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "dicom-series-preflight" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/dicom-series-preflight into .opencode/skills/dicom-series-preflight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dicom-series-preflight", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: dicom-series-preflight
GitHub stars: 3.5k
Token cost: ~864 tokens
SKILL.md length: 324 words
Files: 10 (incl. scripts)
Skills in repo: 386
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Used for header-only preflight of one DICOM series folder before conversion or inference.

Tasks that involve Clinical and healthcare research
SKILL.md covers Purpose, Instructions, Available Scripts and Prerequisites, plus 2 more sections
Runs Python scripts from its folder; calls make and python

What it does

Dicom Series Preflight is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Used for header-only preflight of one DICOM series folder before conversion or inference. Not for de-identification or clinical clearance.

Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts (for example `BENCHMARK.md`, `evals/evals.json` and `fixtures/generate_fixtures.py`).

It sits in Research & Science, covering Clinical and healthcare research. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.

When your agent uses it

Tasks that involve Clinical and healthcare research

Example prompts

“/dicom-series-preflight”

Requirements

Python 3
Pre-approved tools (allowed-tools): Bash

What it can do on your machine

Read from SKILL.md and the folder at commit dfdd080. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
- Bash
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- make
- python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dicom Series Preflight loads about 864 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 324 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~40
When it runs · the whole SKILL.md, loaded when a task matches: ~864

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
```
allowed-tools: Bash
```

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from NVIDIA/skills at commit dfdd080, republished under its Apache-2.0 licence (© NVIDIA). 324 words, ~864 tokens.

Download SKILL.mdSave it as .claude/skills/dicom-series-preflight/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.

name: dicom-series-preflight
description: Used for header-only preflight of one DICOM series folder before conversion or inference. Not for de-identification or clinical clearance.
allowed-tools: Bash
license: Apache-2.0
metadata.author: NVIDIA MedTech Team
metadata.tags: MedTech, DICOM, preflight

DICOM Series Preflight

Purpose

Used for header-only preflight of one DICOM series folder before conversion or inference. Not for de-identification or clinical clearance.
Use the wrapper exactly as documented; do not replace the upstream entrypoint with a handwritten implementation.
Manifest I/O: inputs are dicom_dir; outputs are preflight_json.

Instructions

Read skill_manifest.yaml before changing arguments, side effects, or validation gates.
Run scripts/preflight_series.py through the documented command below; keep outputs under a caller-provided run directory.
If a host agent exposes run_script, use run_script("scripts/preflight_series.py", args=[...]); otherwise run the Bash/Python command shown below.
Check the emitted JSON and paired verifier guidance before treating the run as evidence.

Available Scripts

Script	Purpose	Arguments
`scripts/preflight_series.py`	Primary entrypoint declared by skill_manifest.yaml.	`PATH_TO_DICOM_DIR`

Prerequisites

Runtime requirements: Python packages listed in runtime.side_effects.pip_packages.
NiBabel 5.4 or newer is required so extreme-oblique axes remain labeled consistently across reorientation.
Run commands from the repository root unless an existing section below says otherwise.

Limitations

Header-only; does not decode pixel data or detect burnt-in PHI.
Canonical orientation gate assumes LPS-derived CT axcodes L,P,S.
Compressed transfer syntax and multi-frame instances are warned, not decoded.
Single-directory scan; does not reconcile multiple studies in one tree.
Not for clinical deployment, regulatory de-identification, autonomous diagnosis, production ingestion without a vetted converter.

Troubleshooting

Error	Cause	Fix
Missing dependency or import error	Runtime package drift from `skill_manifest.yaml`.	Install the packages declared in the manifest or use the documented setup command.
Empty or schema-invalid output	Wrong input path, unsupported modality, or upstream failure.	Re-run with a known fixture and inspect the wrapper JSON plus stderr.
Validation gate failure	Output violated a declared engineering invariant.	Keep the failed evidence pack and use the gate message to repair inputs or wrapper code.

Scans a DICOM directory (one series per folder) without decoding pixels. Emits JSON with inventory, orientation axcodes, PHI flags, findings, and a preflight.verdict of pass, warn, or fail.

bash

python scripts/preflight_series.py PATH_TO_DICOM_DIR

Pair with verifiers/dicom_preflight_quality_v1 for a trusted preflight pack:

bash

make run-trusted SKILL=dicom_series_preflight \
  FIXTURE=skills/dicom-series-preflight/fixtures/clean_no_phi \
  OUT=runs/dicom_preflight_demo

Flagship workflow:

bash

make run-workflow \
  WORKFLOW=examples/workflows/dicom_preflight_gate.yaml \
  WORKFLOW_INPUT=skills/dicom-series-preflight/fixtures/clean_no_phi \
  WORKFLOW_OUT=runs/dicom_preflight_gate

Not for de-identification, private-tag review, or clinical clearance.

Files

SKILL.md and 9 other files (scripts) in skills/dicom-series-preflight of NVIDIA/skills.

SKILL.md
BENCHMARK.md
evals/evals.json
fixtures/generate_fixtures.py
scripts/preflight_series.py
skill-card.md
skill.oms.sig
skill_manifest.yaml
tests/test_preflight_series.py
validators/output_schema.json

Open the folder on GitHubat commit dfdd080

Compare with similar skills

Dicom Series Preflight next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Dicom Series Preflight compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Dicom Series Preflight this skillNVIDIA/skills	3.5k	—	~864	Automated safety check: Notes	Apache-2.0	yesterday
Clinical Trials Databasegoogle-deepmind/science-skills	3.2k	2 repos	~3.2k	Automated safety check: Pass	Apache-2.0	24 days ago
CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw	617	1 repos	~1.8k	Automated safety check: Pass	None	7 mo ago
Biomedical Analysis Dispatchxjtulyc/MedgeClaw	617	1 repos	~2k	Automated safety check: Pass	None	7 mo ago
Research Proposalluwill/research-skills	858	—	~4.4k	Automated safety check: Notes	None	9 days ago
Medical Imaging ReviewLeonChaoX/qinyan-academic-skills	943	3 repos	~1.1k	Automated safety check: Notes	MIT	2 mo ago

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Questions about Dicom Series Preflight

What does Dicom Series Preflight do?

Used for header-only preflight of one DICOM series folder before conversion or inference. Dicom Series Preflight is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Used for header-only preflight of one DICOM series folder before conversion or inference.

When should I use Dicom Series Preflight?

Dicom Series Preflight fits situations like: tasks that involve Clinical and healthcare research.

How do I install Dicom Series Preflight in Claude Code?

Run `npx skills add NVIDIA/skills --skill dicom-series-preflight -a claude-code`. Or copy the skill folder (skills/dicom-series-preflight in NVIDIA/skills) into .claude/skills/dicom-series-preflight in your project. Claude Code loads it when a task matches its description.

How do I install Dicom Series Preflight in Codex?

Run `npx skills add NVIDIA/skills --skill dicom-series-preflight -a codex`. Or copy the skill folder (skills/dicom-series-preflight in NVIDIA/skills) into .agents/skills/dicom-series-preflight in your project. Codex loads it when a task matches its description.

Can I use Dicom Series Preflight in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill dicom-series-preflight -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dicom-series-preflight, .gemini/skills/dicom-series-preflight, .github/skills/dicom-series-preflight and .opencode/skills/dicom-series-preflight in your project.

What does Dicom Series Preflight need to run?

Going by SKILL.md and its folder, Dicom Series Preflight needs Python for the scripts in its folder and the command-line tools its instructions call (make and python). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash.

Does Dicom Series Preflight access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Dicom Series Preflight safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Dicom Series Preflight use?

Dicom Series Preflight is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dicom Series Preflight use?

About 864 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Dicom Series Preflight?

Skills that share tags, products or a category with Dicom Series Preflight: Clinical Trials Database (google-deepmind/science-skills, 3.2k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Biomedical Analysis Dispatch (xjtulyc/MedgeClaw, 617 stars) and Research Proposal (luwill/research-skills, 858 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dicom Series Preflight?

NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,546 GitHub stars. The repository holds 386 skills in this directory. The repository was last updated on October 9, 2026.

Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Dicom Series Preflight

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

DICOM Series Preflight

Purpose

Instructions

Available Scripts

Prerequisites

Limitations

Troubleshooting

Files

Compare with similar skills

Similar skills

More from NVIDIA/skills

Related

Questions about Dicom Series Preflight