Sentence-Transformers Training Router
huggingface/skills
Routes a sentence-transformers training task to the right model type and required reference docs and example scripts, covering bi-encoders, rerankers, sparse and multi-vector models.
Audit imaging acquisition, reconstruction, series eligibility, quantitative transforms and protocol drift; not model training.
$ npx skills add huang-sir1/radiology-skills --skill radiology-acquisition-qc -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-acquisition-qc --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-acquisition-qc .claude/skills/radiology-acquisition-qc && 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-acquisition-qc" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-acquisition-qc into .claude/skills/radiology-acquisition-qc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-acquisition-qc", 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-acquisition-qcType 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-acquisition-qc -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-acquisition-qc --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-acquisition-qc .agents/skills/radiology-acquisition-qc && 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-acquisition-qc" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-acquisition-qc into .agents/skills/radiology-acquisition-qc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-acquisition-qc", 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-acquisition-qc -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-acquisition-qc --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-acquisition-qc .cursor/skills/radiology-acquisition-qc && 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-acquisition-qc" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-acquisition-qc into .cursor/skills/radiology-acquisition-qc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-acquisition-qc", 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-acquisition-qc--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-acquisition-qc -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install huang-sir1/radiology-skills radiology-acquisition-qc --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-acquisition-qc .gemini/skills/radiology-acquisition-qc && 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-acquisition-qc" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-acquisition-qc into .gemini/skills/radiology-acquisition-qc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-acquisition-qc", 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-acquisition-qcInstalls 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-acquisition-qc -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-acquisition-qc .github/skills/radiology-acquisition-qc && 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-acquisition-qc" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-acquisition-qc into .github/skills/radiology-acquisition-qc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-acquisition-qc", 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-acquisition-qc -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-acquisition-qc --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-acquisition-qc .opencode/skills/radiology-acquisition-qc && 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-acquisition-qc" agent skill from https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/skills/radiology-acquisition-qc into .opencode/skills/radiology-acquisition-qc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "radiology-acquisition-qc", 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.
radiology-acquisition-qcAudit 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.
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.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit aaa0fe6. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
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…”
SKILL.md and 13 other files (scripts, references) in radiology-skills/skills/radiology-acquisition-qc of huang-sir1/radiology-skills.
Open the folder on GitHubat commit aaa0fe6
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Radiology Acquisition Qc this skillhuang-sir1/radiology-skills | 1.9k | — | ~2.8k | Automated safety check: Pass | Custom licence | |
| Sentence-Transformers Training Routerhuggingface/skills | 11k | 1 repos | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Train RlOpenPipe/ART | 11k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Qwopus27b Rl TrainingR6410418/Jackrong-llm-finetuning-guide | 1.7k | — | ~830 | Automated safety check: Pass | Apache-2.0 | |
| Dataset Evaluationawslabs/agent-plugins | 916 | 1 repos | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Train SftOpenPipe/ART | 11k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 |
huggingface/skills
Routes a sentence-transformers training task to the right model type and required reference docs and example scripts, covering bi-encoders, rerankers, sparse and multi-vector models.
OpenPipe/ART
RL training reference for the ART framework. An agent skill from OpenPipe/ART.
R6410418/Jackrong-llm-finetuning-guide
Prepare, validate, launch-plan, monitor, resume, and stop configurable Qwopus 27B reinforcement-learning workflows for GRPO or GSPO.
awslabs/agent-plugins
Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR).
OpenPipe/ART
SFT training reference for the ART framework. An agent skill from OpenPipe/ART.
Orchestra-Research/AI-Research-SKILLs
Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training.
huang-sir1/radiology-skills
Create/audit editable publication tables with source reconciliation; not figures or statistical inference.
huang-sir1/radiology-skills
Build reproducible radiology bibliometrics with corpus identity, disambiguation and sensitivity; not reviews.
huang-sir1/radiology-skills
Set disease pathways, endpoints, reference standards and treatment timelines; not patient care.
huang-sir1/radiology-skills
Design/audit consensus and evidence-to-recommendation products; not review synthesis or endorsement.
huang-sir1/radiology-skills
Create traceable posters, conference abstracts, summaries and media; not papers, decks or figures.
huang-sir1/radiology-skills
Audit IRB, consent, privacy, IACUC/IBC, biosafety and dual use; not logistics or lab execution.
Categories
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.
Radiology Acquisition Qc fits situations like: tasks that involve Fine-tuning.
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.
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.
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.
Going by SKILL.md and its folder, Radiology Acquisition Qc needs PowerShell for the scripts in its folder. Our summary lists: PowerShell.
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.
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.
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.
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.
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.
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.