Agent skill

Radiology Experiment Design

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

Design/audit tissue, cell, organoid, animal, perturbation and rescue validation; not physical SOP execution.

Custom licenceAuto-check passedResearch & Science

Install Radiology Experiment Design

skills CLI
$ npx skills add huang-sir1/radiology-skills --skill radiology-experiment-design -a claude-code

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

GitHub CLI
$ gh skill install huang-sir1/radiology-skills radiology-experiment-design --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-experiment-design .claude/skills/radiology-experiment-design && 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-experiment-design
GitHub stars
1.9k
Token cost
~3.6k tokens
SKILL.md length
1,588 words
Files
10 (incl. scripts, references)
Skills in repo
39
Repo updated
First seen
Licence
Custom licence

At a glance

Design/audit tissue, cell, organoid, animal, perturbation and rescue validation; not physical SOP execution.

  • Works in 9 steps: biological question, proposed mechanism,… → human cohort or discovery evidence… → experimental system, biological source,… → …
  • Tasks that involve Experimental design
  • SKILL.md covers Core stance, Choose the entry mode, Minimal intake and Required workflow, plus 5 more sections
  • Runs PowerShell scripts from its folder

What it does

Radiology Experiment Design is an agent skill from huang-sir1/radiology-skills. Design/audit tissue, cell, organoid, animal, perturbation and rescue validation; not physical SOP execution.

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/assay-control-matrix.md` and `references/mechanism-experiment-workflow.md`).

It sits in Research & Science, covering Experimental design, Operations and SOPs and Design review and critique.

When your agent uses it

  • Tasks that involve Experimental design
  • Tasks that involve Operations and SOPs
  • Tasks that involve Design review and critique

Example prompts

  • “/radiology-experiment-design”

Requirements

  • PowerShell

Workflow steps

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

  1. biological question, proposed mechanism, affected imaging/molecular claim and at least one
  2. human cohort or discovery evidence motivating the experiment, including whether it is merely
  3. experimental system, biological source, authentication/status checks and relevance to the
  4. intervention, delivery, candidate dose/exposure levels and timing, with rationale source;
  5. primary target-engagement readout, primary phenotype, secondary readouts and measurement time;
  6. positive, negative, vehicle/vector, sham, batch and rescue controls that are actually available;
  7. independently assigned unit, planned biological replicates, technical structure, randomization,
  8. local biosafety/ethics approvals, equipment, tissue, staff, budget, calendar and validated SOP
  9. supplied protocols, raw/processed outputs, laboratory records and exact artifact locations.

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 Experiment Design loads about 3.6k tokens when it runs, and up to ~9.2k if it reads all its reference files. Until then it costs about 34 tokens; SKILL.md has 1,588 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9.2k

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 1,588 words (~3,587 tokens).

“Use this skill as an independent entry point for turning an imaging-mechanism hypothesis into a feasible, falsifiable and auditable experimental programme. It can also review an existing plan or result package and teach the author how to improve it. It…”

— opening of SKILL.md by huang-sir1, Custom licence
name
radiology-experiment-design

Read the full SKILL.md on GitHub

Files

SKILL.md and 9 other files (scripts, references) in radiology-skills/skills/radiology-experiment-design of huang-sir1/radiology-skills.

  • SKILL.md
  • agents/openai.yaml
  • references/assay-control-matrix.md
  • references/mechanism-experiment-workflow.md
  • scripts/validate_experiment_design_skill.ps1
  • templates/failure-decision-log.md
  • templates/local-assay-capability-profile.md
  • templates/local-mechanism-validation-experience-registry.md
  • templates/mechanism-experiment-plan.md
  • tests/routing-cases.json

Open the folder on GitHubat commit aaa0fe6

Compare with similar skills

Radiology Experiment Design 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 Experiment Design compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Radiology Experiment Design this skillhuang-sir1/radiology-skills1.9k—~3.6kAutomated safety check: PassCustom licence
Confounder And Bias Control Planneraipoch/medical-research-skills1.9k—~3.9kAutomated safety check: PassMIT
Trade Hypothesis Ideatortradermonty/claude-trading-skills3k1 repos~693Automated safety check: PassMIT
Data Scientistmagnus919/agent-skills119—~4.1kAutomated safety check: PassMIT
Consistency Checkerfranklee16/academic-research-skills223—~2.6kAutomated safety check: PassNone
Taipei Permit Drawing Standardsh30190/HJPLUS_Taiwan_Architect_KB158—~4.6kAutomated safety check: PassCC-BY-SA-4.0

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Questions about Radiology Experiment Design

What does Radiology Experiment Design do?

Design/audit tissue, cell, organoid, animal, perturbation and rescue validation; not physical SOP execution. Radiology Experiment Design is an agent skill from huang-sir1/radiology-skills. Design/audit tissue, cell, organoid, animal, perturbation and rescue validation; not physical SOP execution.

When should I use Radiology Experiment Design?

Radiology Experiment Design fits situations like: tasks that involve Experimental design; tasks that involve Operations and SOPs; tasks that involve Design review and critique.

How do I install Radiology Experiment Design in Claude Code?

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

How do I install Radiology Experiment Design in Codex?

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

Can I use Radiology Experiment Design 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-experiment-design -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-experiment-design, .gemini/skills/radiology-experiment-design, .github/skills/radiology-experiment-design and .opencode/skills/radiology-experiment-design in your project.

What does Radiology Experiment Design need to run?

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

Does Radiology Experiment Design 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 Experiment Design 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 Experiment Design use?

Radiology Experiment Design 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 Experiment Design use?

About 3.6k tokens (SKILL.md is roughly 14k 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 5.6k tokens, read only when the agent opens those files.

What are the alternatives to Radiology Experiment Design?

Skills that share tags, products or a category with Radiology Experiment Design: Confounder And Bias Control Planner (aipoch/medical-research-skills, 1.9k stars), Trade Hypothesis Ideator (tradermonty/claude-trading-skills, 3k stars), Data Scientist (magnus919/agent-skills, 119 stars) and Consistency Checker (franklee16/academic-research-skills, 223 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Radiology Experiment Design?

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.