Agent skill

Radiology Acquisition Qc

by huang-sir1 in huang-sir1/radiology-skills

Audit imaging acquisition, reconstruction, series eligibility, quantitative transforms and protocol drift; not model training.

Custom licenceAuto-check passedAI & LLM Engineering

Install Radiology Acquisition Qc

skills CLI
$ npx skills add huang-sir1/radiology-skills --skill radiology-acquisition-qc -a claude-code

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

GitHub CLI
$ gh skill install huang-sir1/radiology-skills radiology-acquisition-qc --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/huang-sir1/radiology-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/radiology-skills/skills/radiology-acquisition-qc .claude/skills/radiology-acquisition-qc && 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/

Facts

Skill name
radiology-acquisition-qc
GitHub stars
1.9k
Token cost
~2.8k tokens
SKILL.md length
1,162 words
Files
14 (incl. scripts, references)
Skills in repo
39
Repo updated
First seen
Licence
Custom licence

At a glance

Audit imaging acquisition, reconstruction, series eligibility, quantitative transforms and protocol drift; not model training.

  • Works in 6 steps: Name the requested measurement object… → Identify the independent hierarchy:… → Load the modality playbook and… → …
  • Tasks that involve Fine-tuning
  • SKILL.md covers When to use, Ownership, Modes and Progressive routing, plus 5 more sections
  • Runs PowerShell scripts from its folder

What it does

Radiology Acquisition Qc is an agent skill from huang-sir1/radiology-skills. Audit imaging acquisition, reconstruction, series eligibility, quantitative transforms and protocol drift; not model training.

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 18 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/ct-acquisition-reconstruction.md` and `references/diffusion-tensor-tractography.md`).

It sits in AI & LLM Engineering, covering Fine-tuning.

When your agent uses it

  • Tasks that involve Fine-tuning

Example prompts

  • “/radiology-acquisition-qc”

Requirements

  • PowerShell

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Name the requested measurement object and claim: visual adequacy, relative signal, absolute
  2. Identify the independent hierarchy: patient -> examination/time point -> series/acquisition ->
  3. Load the modality playbook and reconstruct the acquisition-to-measurement chain from supplied
  4. Freeze the series/phase/sequence/view/tracer and reconstruction inclusion rule before outcome,
  5. Add the common playbook when a repeatability or transport claim is intended. Distinguish a
  6. Assign PASS, CONDITIONAL or STOP to the exact measurement claim, then hand off the

What it can do on your machine

Read from SKILL.md and the folder at commit aaa0fe6. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (PowerShell), which the agent can run.

    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

Radiology Acquisition Qc loads about 2.8k tokens when it runs, and up to ~21k if it reads all its reference files. Until then it costs about 38 tokens; SKILL.md has 1,162 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~21k

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 passed

The automated check found no risky patterns in SKILL.md.

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,162 words (~2,816 tokens).

“Own the validity of the image as a measurement before annotation, feature extraction, model training, biological interpretation, or clinical deployment. Route to the smallest relevant modality playbook, freeze what was actually acquired and reconstructed, and return the strongest claim the…”

— opening of SKILL.md by huang-sir1, Custom licence
name
radiology-acquisition-qc

Read the full SKILL.md on GitHub

Files

SKILL.md and 13 other files (scripts, references) in radiology-skills/skills/radiology-acquisition-qc of huang-sir1/radiology-skills.

  • SKILL.md
  • agents/openai.yaml
  • references/ct-acquisition-reconstruction.md
  • references/diffusion-tensor-tractography.md
  • references/functional-mri.md
  • references/mr-acquisition-reconstruction.md
  • references/mr-spectroscopy.md
  • references/pet-spect-acquisition-quantification.md
  • references/phantom-test-retest-protocol-shift.md
  • references/projection-radiography-mammo-dbt.md
  • references/ultrasound-ceus-elastography.md
  • scripts/validate_acquisition_qc_skill.ps1
  • templates/imaging-measurement-passport.md
  • tests/routing-cases.json

Open the folder on GitHubat commit aaa0fe6

Compare with similar skills

Radiology Acquisition Qc 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.

Radiology Acquisition Qc compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Radiology Acquisition Qc this skillhuang-sir1/radiology-skills1.9k—~2.8kAutomated safety check: PassCustom licence
Sentence-Transformers Training Routerhuggingface/skills11k1 repos~2.6kAutomated safety check: PassApache-2.0
Train RlOpenPipe/ART11k—~2.4kAutomated safety check: PassApache-2.0
Qwopus27b Rl TrainingR6410418/Jackrong-llm-finetuning-guide1.7k—~830Automated safety check: PassApache-2.0
Dataset Evaluationawslabs/agent-plugins9161 repos~1.3kAutomated safety check: PassApache-2.0
Train SftOpenPipe/ART11k—~2.9kAutomated safety check: PassApache-2.0

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Questions about Radiology Acquisition Qc

What does Radiology Acquisition Qc do?

Audit imaging acquisition, reconstruction, series eligibility, quantitative transforms and protocol drift; not model training. Radiology Acquisition Qc is an agent skill from huang-sir1/radiology-skills. Audit imaging acquisition, reconstruction, series eligibility, quantitative transforms and protocol drift; not model training.

When should I use Radiology Acquisition Qc?

Radiology Acquisition Qc fits situations like: tasks that involve Fine-tuning.

How do I install Radiology Acquisition Qc in Claude Code?

Run `npx skills add huang-sir1/radiology-skills --skill radiology-acquisition-qc -a claude-code`. Or copy the skill folder (radiology-skills/skills/radiology-acquisition-qc in huang-sir1/radiology-skills) into .claude/skills/radiology-acquisition-qc in your project. Claude Code loads it when a task matches its description.

How do I install Radiology Acquisition Qc in Codex?

Run `npx skills add huang-sir1/radiology-skills --skill radiology-acquisition-qc -a codex`. Or copy the skill folder (radiology-skills/skills/radiology-acquisition-qc in huang-sir1/radiology-skills) into .agents/skills/radiology-acquisition-qc in your project. Codex loads it when a task matches its description.

Can I use Radiology Acquisition Qc 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 huang-sir1/radiology-skills --skill radiology-acquisition-qc -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/radiology-acquisition-qc, .gemini/skills/radiology-acquisition-qc, .github/skills/radiology-acquisition-qc and .opencode/skills/radiology-acquisition-qc in your project.

What does Radiology Acquisition Qc need to run?

Going by SKILL.md and its folder, Radiology Acquisition Qc needs PowerShell for the scripts in its folder. Our summary lists: PowerShell.

Does Radiology Acquisition Qc 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 Radiology Acquisition Qc safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. 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 Radiology Acquisition Qc use?

Radiology Acquisition Qc has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Radiology Acquisition Qc use?

About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 19k tokens, read only when the agent opens those files.

What are the alternatives to Radiology Acquisition Qc?

Skills that share tags, products or a category with Radiology Acquisition Qc: Sentence-Transformers Training Router (huggingface/skills, 11k stars), Train Rl (OpenPipe/ART, 11k stars), Qwopus27b Rl Training (R6410418/Jackrong-llm-finetuning-guide, 1.7k stars) and Dataset Evaluation (awslabs/agent-plugins, 916 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Radiology Acquisition Qc?

huang-sir1 (a GitHub user) maintains it in huang-sir1/radiology-skills, which has 1,923 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on September 21, 2026.

Source: huang-sir1/radiology-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.