Agent skill

Radiology Radiogenomics

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

Interpret mechanisms and imaging-mechanism bridges with competing explanations and causal ceilings.

Custom licenceAuto-check passedResearch & Science

Install Radiology Radiogenomics

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

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

GitHub CLI
$ gh skill install huang-sir1/radiology-skills radiology-radiogenomics --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-radiogenomics .claude/skills/radiology-radiogenomics && 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-radiogenomics
GitHub stars
1.9k
Token cost
~2.5k tokens
SKILL.md length
1,173 words
Files
71 (incl. scripts, references)
Skills in repo
39
Repo updated
First seen
Licence
Custom licence

At a glance

Interpret mechanisms and imaging-mechanism bridges with competing explanations and causal ceilings.

  • Works in 6 steps: Run the ownership gate. If the request… → Load the minimal router. For an owned… → Resolve axes without optimistic… → …
  • Research & Science work in your project
  • SKILL.md covers Ownership gate before loading…, Owned scopes, Routing protocol and Tutor interaction, plus 4 more sections

What it does

Radiology Radiogenomics is an agent skill from huang-sir1/radiology-skills. Interpret mechanisms and imaging-mechanism bridges with competing explanations and causal ceilings.

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 72 other files, including scripts and reference files (for example `README.md`, `agents/openai.yaml` and `manifest.yaml`).

It sits in Research & Science.

When your agent uses it

  • Research & Science work in your project

Example prompts

  • “/radiology-radiogenomics”

Workflow steps

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

  1. Run the ownership gate. If the request belongs to a unique specialist above, hand it off with
  2. Load the minimal router. For an owned mechanism decision, read manifest.yaml
  3. Resolve axes without optimistic defaults. Determine interaction mode, tutor style, scope,
  4. Load rules additively. Apply only rules matching the resolved axes. Passport, integrity gates,
  5. Work from validity to meaning. Use
  6. Return the smallest complete mechanism artifact. Do not append generic manuscript, response,

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/, 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 Radiogenomics loads about 2.5k tokens when it runs, and up to ~261k if it reads all its reference files. Until then it costs about 31 tokens; SKILL.md has 1,173 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~31
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~261k

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 1,173 words (~2,542 tokens).

“Own the scientific meaning of standalone biological evidence and the validity of an explicit imaging-to-mechanism bridge. Return the narrowest evidence-bounded interpretation, rival explanation, claim ceiling or validation decision that answers the current mechanism question.”

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

Read the full SKILL.md on GitHub

Files

SKILL.md and 70 other files (scripts, references) in radiology-skills/skills/radiology-radiogenomics of huang-sir1/radiology-skills.

  • SKILL.md
  • README.md
  • agents/openai.yaml
  • manifest.yaml
  • references/analysis-plan-sap.md
  • references/architecture-provenance.md
  • references/association-validation.md
  • references/biological-validation.md
  • references/bulk-rna-literature-map-2024-2026.tsv
  • references/bulk-rna-research-guidance.md
  • references/cohort-design.md
  • references/constructive-manuscript-review-chain.md
  • references/deep-radiogenomics-fusion-strategies.md
  • references/imaging-only-mentoring.md
  • references/imaging-reviewer-playbook.md
  • references/imaging-submission-package.md
  • references/mechanism-reviewer-playbook.md
  • references/mechanism-submission-package.md
  • references/multi-omics-integration.md
  • … and 52 more

Open the folder on GitHubat commit aaa0fe6

Compare with similar skills

Radiology Radiogenomics 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 Radiogenomics compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Radiology Radiogenomics this skillhuang-sir1/radiology-skills1.9k—~2.5kAutomated safety check: PassCustom licence
Hypothesis Generationspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: NotesMIT
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

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Questions about Radiology Radiogenomics

What does Radiology Radiogenomics do?

Interpret mechanisms and imaging-mechanism bridges with competing explanations and causal ceilings. Radiology Radiogenomics is an agent skill from huang-sir1/radiology-skills. Interpret mechanisms and imaging-mechanism bridges with competing explanations and causal ceilings.

When should I use Radiology Radiogenomics?

Radiology Radiogenomics fits situations like: research & Science work in your project.

How do I install Radiology Radiogenomics in Claude Code?

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

How do I install Radiology Radiogenomics in Codex?

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

Can I use Radiology Radiogenomics 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-radiogenomics -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-radiogenomics, .gemini/skills/radiology-radiogenomics, .github/skills/radiology-radiogenomics and .opencode/skills/radiology-radiogenomics in your project.

What does Radiology Radiogenomics need to run?

SKILL.md names no scripts, command-line tools or credentials: Radiology Radiogenomics is instructions for the agent only.

Does Radiology Radiogenomics 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 Radiogenomics 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 Radiogenomics use?

Radiology Radiogenomics 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 Radiogenomics use?

About 2.5k tokens (SKILL.md is roughly 10k 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 258k tokens, read only when the agent opens those files.

What are the alternatives to Radiology Radiogenomics?

Skills that share tags, products or a category with Radiology Radiogenomics: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Radiology Radiogenomics?

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.