Scikit Learn
zLanqing/codex-claude-academic-skills
Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.
A skill your agent uses when targeting Machine Learning for Health (ML4H) or deciding whether a computer-science manuscript fits this venue.
$ npx skills add franklee16/academic-research-skills --skill machine-learning-for-health -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install franklee16/academic-research-skills machine-learning-for-health --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/franklee16/academic-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/machine-learning-for-health .claude/skills/machine-learning-for-health && 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 "machine-learning-for-health" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/machine-learning-for-health into .claude/skills/machine-learning-for-health/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "machine-learning-for-health", 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/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/machine-learning-for-healthType 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 franklee16/academic-research-skills --skill machine-learning-for-health -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install franklee16/academic-research-skills machine-learning-for-health --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/machine-learning-for-health .agents/skills/machine-learning-for-health && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "machine-learning-for-health" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/machine-learning-for-health into .agents/skills/machine-learning-for-health/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "machine-learning-for-health", 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 franklee16/academic-research-skills --skill machine-learning-for-health -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install franklee16/academic-research-skills machine-learning-for-health --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/machine-learning-for-health .cursor/skills/machine-learning-for-health && 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 "machine-learning-for-health" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/machine-learning-for-health into .cursor/skills/machine-learning-for-health/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "machine-learning-for-health", 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/franklee16/academic-research-skills.git --path Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/machine-learning-for-health--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 franklee16/academic-research-skills --skill machine-learning-for-health -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install franklee16/academic-research-skills machine-learning-for-health --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/machine-learning-for-health .gemini/skills/machine-learning-for-health && 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 "machine-learning-for-health" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/machine-learning-for-health into .gemini/skills/machine-learning-for-health/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "machine-learning-for-health", 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 franklee16/academic-research-skills machine-learning-for-healthInstalls 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 franklee16/academic-research-skills --skill machine-learning-for-health -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/machine-learning-for-health .github/skills/machine-learning-for-health && 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 "machine-learning-for-health" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/machine-learning-for-health into .github/skills/machine-learning-for-health/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "machine-learning-for-health", 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 franklee16/academic-research-skills --skill machine-learning-for-health -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install franklee16/academic-research-skills machine-learning-for-health --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/machine-learning-for-health .opencode/skills/machine-learning-for-health && 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 "machine-learning-for-health" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/machine-learning-for-health into .opencode/skills/machine-learning-for-health/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "machine-learning-for-health", 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.
machine-learning-for-healthA skill your agent uses when targeting Machine Learning for Health (ML4H) or deciding whether a computer-science manuscript fits this venue.
Machine Learning For Health is an agent skill from franklee16/academic-research-skills. Use when targeting Machine Learning for Health (ML4H) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for AI for health.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Machine learning. The repository describes itself as: Comprehensive collection of Claude Code skills for academic research in economics, finance, and social sciences.
Read from SKILL.md and the folder at commit 9a4b2db. 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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
mlforhc.orgFrom 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.
Machine Learning For Health loads about 1.9k tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 880 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); files beside SKILL.md are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 880 words (~1,949 tokens).
“Machine Learning for Health (ML4H) is a top computer-science conference venue for healthcare machine learning, clinical prediction, biomedical data, deployment, and responsible evaluation. It rewards a health-focused ML paper whose evidence respects medical data leakage, confounding, and deployment risks. Treat…”
Just SKILL.md in Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/machine-learning-for-health of franklee16/academic-research-skills.
Open the folder on GitHubat commit 9a4b2db
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in franklee16/academic-research-skills, which our catalogue first saw on October 7, 2026.
Machine Learning For Health 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 |
|---|---|---|---|---|---|---|
| Machine Learning For Health this skillfranklee16/academic-research-skills | 223 | 1 repos | ~1.9k | Automated safety check: Pass | None | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.7k | 16 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Agentic Kaggle WorkflowFrankS-IntelLab/agentic-kaggle-skill | 188 | — | ~4k | Automated safety check: Pass | MIT | |
| Senior Data ScientistRaidriar7170/hermes-skilleval | 125 | 5 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Geomlitalo-goncalves/geoML | 109 | — | ~4.9k | Automated safety check: Pass | GPL-3.0 | |
| QuantMind Training Config Generatorqusong0627/QuantMind | 1.7k | — | ~1.5k | Automated safety check: Pass | AGPL-3.0 |
zLanqing/codex-claude-academic-skills
Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.
FrankS-IntelLab/agentic-kaggle-skill
Takes a Kaggle competition from rules and validation design through baselines, ensembling and notebook architecture to a scored submission.
Raidriar7170/hermes-skilleval
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics.
italo-goncalves/geoML
Working knowledge of the geoML Python package (github.com/italo-goncalves/geoML): variational Gaussian processes for spatial data, implicit geological modelling, block models, drillhole data…
qusong0627/QuantMind
Turns a plain-language model training request into a validated QuantMind training config file that can be imported from the Model Training page.
liangdabiao/claude-data-analysis-ultra-main
Analyze user retention and churn using survival analysis, cohort analysis, and machine learning.
franklee16/academic-research-skills
End-to-end econometric analysis and economics/management paper-writing workflow.
franklee16/academic-research-skills
Comprehensive workflow for handling journal Revise and Resubmit (R&R) decisions.
franklee16/academic-research-skills
A skill your agent uses when researchers need Chinese academic prose translated into publication-oriented English or English manuscript paragraphs and complete sections polished for SCI, SSCI, or…
franklee16/academic-research-skills
Assess and monitor an ongoing research project's competitor landscape, novelty risk, and method/data opportunities from a proposal, paper, research question, data or method notes, or a suspected…
franklee16/academic-research-skills
Generate or fill in academic grant application forms (project statement, education plan, pathway to impact, references) using draft research material.
franklee16/academic-research-skills
A skill your agent uses when a user needs通用中文参考文献、GB/T 7714-style bibliography entries, Chinese academic reference formatting, or BibTeX completion from Chinese or English literature titles…
Categories
A skill your agent uses when targeting Machine Learning for Health (ML4H) or deciding whether a computer-science manuscript fits this venue. Machine Learning For Health is an agent skill from franklee16/academic-research-skills. Use when targeting Machine Learning for Health (ML4H) or deciding whether a computer-science manuscript fits this venue.
Machine Learning For Health fits situations like: targeting Machine Learning for Health (ML4H); deciding whether a computer-science manuscript fits this venue.
Run `npx skills add franklee16/academic-research-skills --skill machine-learning-for-health -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/machine-learning-for-health in franklee16/academic-research-skills) into .claude/skills/machine-learning-for-health in your project. Claude Code loads it when a task matches its description.
Run `npx skills add franklee16/academic-research-skills --skill machine-learning-for-health -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/machine-learning-for-health in franklee16/academic-research-skills) into .agents/skills/machine-learning-for-health 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 franklee16/academic-research-skills --skill machine-learning-for-health -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/machine-learning-for-health, .gemini/skills/machine-learning-for-health, .github/skills/machine-learning-for-health and .opencode/skills/machine-learning-for-health in your project.
SKILL.md names no scripts, command-line tools or credentials: Machine Learning For Health is instructions for the agent only.
SKILL.md names 1 domain. As links in the text: mlforhc.org. 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. Review the folder before installing.
No licence was found for Machine Learning For Health or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.9k tokens (SKILL.md is roughly 7.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Machine Learning For Health: Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars), Agentic Kaggle Workflow (FrankS-IntelLab/agentic-kaggle-skill, 188 stars), Senior Data Scientist (Raidriar7170/hermes-skilleval, 125 stars) and Geoml (italo-goncalves/geoML, 109 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
franklee16 (a GitHub user) maintains it in franklee16/academic-research-skills, which has 223 GitHub stars. The repository holds 1,617 skills in this directory. The repository was last updated on September 18, 2026.
Source: franklee16/academic-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.