DeepTutor CLI
HKUDS/DeepTutor
Teaches the agent to set up and run DeepTutor from the command line: chat and capabilities, knowledge bases, partners, memory, sessions, notebooks and the server or Web app.
Mentor and route ambiguous, multistage or resumed radiology research; tutoring defaults to read-only.
Install Radiology Pipeline
$ npx skills add huang-sir1/radiology-skills --skill radiology-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-pipeline --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-pipeline .claude/skills/radiology-pipeline && rm -rf skills-srcUse ~/.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/
Install the "radiology-pipeline" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-pipeline into .claude/skills/radiology-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-pipeline", 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 install https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-pipelineType 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.
$ npx skills add huang-sir1/radiology-skills --skill radiology-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huang-sir1/radiology-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/radiology-skills/skills/radiology-pipeline .agents/skills/radiology-pipeline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "radiology-pipeline" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-pipeline into .agents/skills/radiology-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-pipeline", 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.
$ npx skills add huang-sir1/radiology-skills --skill radiology-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huang-sir1/radiology-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/radiology-skills/skills/radiology-pipeline .cursor/skills/radiology-pipeline && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "radiology-pipeline" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-pipeline into .cursor/skills/radiology-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-pipeline", 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 https://github.com/huang-sir1/radiology-skills.git --path radiology-skills/skills/radiology-pipeline--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add huang-sir1/radiology-skills --skill radiology-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huang-sir1/radiology-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/radiology-skills/skills/radiology-pipeline .gemini/skills/radiology-pipeline && rm -rf skills-srcUse ~/.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/
Install the "radiology-pipeline" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-pipeline into .gemini/skills/radiology-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-pipeline", 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.
$ gh skill install huang-sir1/radiology-skills radiology-pipelineInstalls 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).
$ npx skills add huang-sir1/radiology-skills --skill radiology-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/huang-sir1/radiology-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/radiology-skills/skills/radiology-pipeline .github/skills/radiology-pipeline && rm -rf skills-srcUse ~/.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/
Install the "radiology-pipeline" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-pipeline into .github/skills/radiology-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-pipeline", 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.
$ npx skills add huang-sir1/radiology-skills --skill radiology-pipeline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huang-sir1/radiology-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/radiology-skills/skills/radiology-pipeline .opencode/skills/radiology-pipeline && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "radiology-pipeline" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-pipeline into .opencode/skills/radiology-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-pipeline", 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
radiology-pipeline- GitHub stars
- 1.9k
- Token cost
- ~5.1k tokens
- SKILL.md length
- 2,083 words
- Files
- 54 (incl. scripts, references, assets)
- Skills in repo
- 39
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Mentor and route ambiguous, multistage or resumed radiology research; tutoring defaults to read-only.
- Works in 12 steps: Discover current state. Inspect supplied… → Initialize or validate the project… → Lock scope and design. Set study_scope… → …
- Tasks that involve Tutoring and explanations
- SKILL.md covers When to use, Core stance, Operating modes and When to open extra files, plus 4 more sections
What it does
Radiology Pipeline is an agent skill from huang-sir1/radiology-skills. Mentor and route ambiguous, multistage or resumed radiology research; tutoring defaults to read-only. CN: 总控、课题导航、下一步
Its SKILL.md is about 5.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 56 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `assets/action_authorization_trace.template.json` and `assets/experiment-lineage.template.json`).
It sits in Education, covering Tutoring and explanations.
When your agent uses it
- Tasks that involve Tutoring and explanations
Example prompts
- “/radiology-pipeline”
Workflow steps
12 steps, taken from the first numbered list in SKILL.md.
- Discover current state. Inspect supplied artifacts, prior decisions and unresolved facts.
- Initialize or validate the project record only when authorized. For advisory work, keep a
- Lock scope and design. Set study_scope (imaging-only, mechanism-only,
- Prepare image measurements, data and reference standards. Route series/phase/sequence qualification,
- Lock and run the analysis. Route hand-crafted radiomics and deep learning to their execution
- Run the research decision cycle, not a one-way publication conveyor. For full projects and
- Freeze evidence. Populate the value, claim, display, and artifact registries. Build
- Write from the frozen evidence. For mechanism-only or imaging-mechanism work, first create
- Run adversarial review. Route author-side imaging work to
- Select and package. Use radiology-journal to verify current fit and author guidance;
- Revise with traceability. Route decision letters to radiology-response; record each
- Close out for reproducibility and reuse. Preserve protocol/SAP and deviations, cohort/split
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 Pipeline loads about 5.1k tokens when it runs, and up to ~53k if it reads all its reference files. Until then it costs about 34 tokens; SKILL.md has 2,083 words of instructions outside code blocks.
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 2,083 words (~5,066 tokens).
“Coordinate specialist skills around the current scientific decision. Clear isolated requests go directly to their unique owner; ambiguous or multistage requests use context-first clarification. For persistent projects, synchronize questions, cohorts, endpoints, models, results, claims, displays and submission files. Tutoring changes…”
- name
- radiology-pipeline
Files
SKILL.md and 53 other files (scripts, references, assets) in radiology-skills/skills/radiology-pipeline of huang-sir1/radiology-skills.
- SKILL.md
- agents/openai.yaml
- assets/action_authorization_trace.template.json
- assets/ai_use_ledger.template.csv
- assets/artifact_manifest.template.csv
- assets/claim_register.template.csv
- assets/decision_log.template.csv
- assets/display_register.template.csv
- assets/experiment-lineage.template.json
- assets/project_state.template.json
- assets/reported_values.template.csv
- assets/research-decision-packet.template.md
- assets/stakeholder_decision_ledger.template.csv
- assets/team_charter.template.md
- references/action-authorization-and-execution-trace.md
- references/adversarial-research-behavior-contract.md
- references/capability-maturity-and-release-governance.md
- references/capability-maturity-registry.json
- … and 36 more
Open the folder on GitHubat commit aaa0fe6
Compare with similar skills
Radiology Pipeline 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Radiology Pipeline this skillhuang-sir1/radiology-skills | 1.9k | — | ~5.1k | Automated safety check: Pass | Custom licence | |
| DeepTutor CLIHKUDS/DeepTutor | 41k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| AI Engineering Project Tutorrohitg00/ai-engineering-from-scratch | 67k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Hung-Yi Lee Teaching Stylevoidful/hung-yi-lee-skill | 1.3k | — | ~13k | Automated safety check: Pass | None | |
| Claude Certification Tutorrohitg00/ai-engineering-from-scratch | 67k | — | ~3k | Automated safety check: Pass | MIT | |
| StudyVault Quiz Tutorbevibing/tutor-skills | 1.3k | — | ~1.4k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Radiology Pipeline
What does Radiology Pipeline do?
Mentor and route ambiguous, multistage or resumed radiology research; tutoring defaults to read-only. Radiology Pipeline is an agent skill from huang-sir1/radiology-skills. Mentor and route ambiguous, multistage or resumed radiology research; tutoring defaults to read-only.
When should I use Radiology Pipeline?
Radiology Pipeline fits situations like: tasks that involve Tutoring and explanations.
How do I install Radiology Pipeline in Claude Code?
Run `npx skills add huang-sir1/radiology-skills --skill radiology-pipeline -a claude-code`. Or copy the skill folder (radiology-skills/skills/radiology-pipeline in huang-sir1/radiology-skills) into .claude/skills/radiology-pipeline in your project. Claude Code loads it when a task matches its description.
How do I install Radiology Pipeline in Codex?
Run `npx skills add huang-sir1/radiology-skills --skill radiology-pipeline -a codex`. Or copy the skill folder (radiology-skills/skills/radiology-pipeline in huang-sir1/radiology-skills) into .agents/skills/radiology-pipeline in your project. Codex loads it when a task matches its description.
Can I use Radiology Pipeline 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-pipeline -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-pipeline, .gemini/skills/radiology-pipeline, .github/skills/radiology-pipeline and .opencode/skills/radiology-pipeline in your project.
What does Radiology Pipeline need to run?
SKILL.md names no scripts, command-line tools or credentials: Radiology Pipeline is instructions for the agent only.
Does Radiology Pipeline 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 Pipeline 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 Pipeline use?
Radiology Pipeline 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 Pipeline use?
About 5.1k tokens (SKILL.md is roughly 20k 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 48k tokens, read only when the agent opens those files.
What are the alternatives to Radiology Pipeline?
Skills that share tags, products or a category with Radiology Pipeline: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), AI Engineering Project Tutor (rohitg00/ai-engineering-from-scratch, 67k stars), Hung-Yi Lee Teaching Style (voidful/hung-yi-lee-skill, 1.3k stars) and Claude Certification Tutor (rohitg00/ai-engineering-from-scratch, 67k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Radiology Pipeline?
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.