Scientific Toolkit Skill
zLanqing/codex-claude-academic-skills
Research computing toolkit for optoelectronic information science and engineering, MATLAB/Octave, Python scientific analysis, signal processing, image processing, statistics, simulation…
Design and analyze studies in sociolinguistics, language variation, acoustic phonetics, discourse analysis, language contact, and computational linguistics.
$ npx skills add joshzyj/open-scholar-skill --skill scholar-ling -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install joshzyj/open-scholar-skill scholar-ling --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/joshzyj/open-scholar-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/scholar-ling .claude/skills/scholar-ling && 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 "scholar-ling" agent skill from https://github.com/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-ling into .claude/skills/scholar-ling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-ling", 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/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-lingType 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 joshzyj/open-scholar-skill --skill scholar-ling -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install joshzyj/open-scholar-skill scholar-ling --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/joshzyj/open-scholar-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/scholar-ling .agents/skills/scholar-ling && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scholar-ling" agent skill from https://github.com/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-ling into .agents/skills/scholar-ling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-ling", 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 joshzyj/open-scholar-skill --skill scholar-ling -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install joshzyj/open-scholar-skill scholar-ling --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/joshzyj/open-scholar-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/scholar-ling .cursor/skills/scholar-ling && 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 "scholar-ling" agent skill from https://github.com/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-ling into .cursor/skills/scholar-ling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-ling", 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/joshzyj/open-scholar-skill.git --path .claude/skills/scholar-ling--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 joshzyj/open-scholar-skill --skill scholar-ling -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install joshzyj/open-scholar-skill scholar-ling --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/joshzyj/open-scholar-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/scholar-ling .gemini/skills/scholar-ling && 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 "scholar-ling" agent skill from https://github.com/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-ling into .gemini/skills/scholar-ling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-ling", 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 joshzyj/open-scholar-skill scholar-lingInstalls 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 joshzyj/open-scholar-skill --skill scholar-ling -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/joshzyj/open-scholar-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/scholar-ling .github/skills/scholar-ling && 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 "scholar-ling" agent skill from https://github.com/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-ling into .github/skills/scholar-ling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-ling", 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 joshzyj/open-scholar-skill --skill scholar-ling -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install joshzyj/open-scholar-skill scholar-ling --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/joshzyj/open-scholar-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/scholar-ling .opencode/skills/scholar-ling && 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 "scholar-ling" agent skill from https://github.com/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-ling into .opencode/skills/scholar-ling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-ling", 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.
scholar-lingDesign and analyze studies in sociolinguistics, language variation, acoustic phonetics, discourse analysis, language contact, and computational linguistics.
Scholar Ling is an agent skill from joshzyj/open-scholar-skill. Design and analyze studies in sociolinguistics, language variation, acoustic phonetics, discourse analysis, language contact, and computational linguistics. Covers VARBRUL/Rbrul for variation analysis, mixed-effects models for acoustic data, conversation analysis, critical discourse analysis, language attitudes (matched guise), corpus linguistics, computational sociolinguistics (conText embedding regression, LLM annotation for linguistic coding, BERT classification, semantic change detection, STM topic models)…
Its SKILL.md is about 6.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files (for example `references/discourse-analysis.md`, `references/module-01-theory.md` and `references/module-02-quantitative.md`).
It sits in Data & Analytics, covering Data visualization, Anomaly detection and Embeddings. It works with Python. The repository describes itself as: Open scholar skill, a claude code plugin, for academic research.
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 6e5ac8e. 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.
Shell commands in SKILL.md call:
bashFrom 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.
Scholar Ling loads about 6.7k tokens when it runs, and up to ~32k if it reads all its reference files. Until then it costs about 250 tokens; SKILL.md has 2,090 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 2,090 words (~6,655 tokens).
“You are an expert sociolinguist with deep knowledge of quantitative variation analysis, acoustic phonetics, conversation analysis, discourse analysis, language contact, language attitudes, and computational approaches to language in society. You design rigorous studies, execute analyses with R and Python, and…”
SKILL.md and 11 other files (references) in .claude/skills/scholar-ling of joshzyj/open-scholar-skill.
Open the folder on GitHubat commit 6e5ac8e
Scholar Ling 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 |
|---|---|---|---|---|---|---|
| Scholar Ling this skilljoshzyj/open-scholar-skill | 168 | — | ~6.7k | Automated safety check: Pass | Custom licence | |
| Scientific Toolkit SkillzLanqing/codex-claude-academic-skills | 4.7k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Scientific Figure MakingChenLiu-1996/figures4papers | 8.3k | — | ~557 | Automated safety check: Pass | Custom licence | |
| Literature Surveyai4s-research/ai4s-skills | 237 | 2 repos | ~2k | Automated safety check: Pass | MIT | |
| FigMirrorVILA-Lab/FigMirror | 523 | — | ~2.4k | Automated safety check: Pass | None | |
| Agent Figure GalleryDsadd4/AgentFigureGallery | 163 | — | ~643 | Automated safety check: Pass | MIT |
zLanqing/codex-claude-academic-skills
Research computing toolkit for optoelectronic information science and engineering, MATLAB/Octave, Python scientific analysis, signal processing, image processing, statistics, simulation…
ChenLiu-1996/figures4papers
Covers publication-ready matplotlib figures for academic papers, slides, and reports—bars, trends, scatter, heatmaps, and multi-panel layouts—with this…
ai4s-research/ai4s-skills
A skill your agent uses when the user wants a comprehensive literature survey on a specific research topic.
VILA-Lab/FigMirror
Mirrors the visual style of a top-conference paper figure onto your own data, producing a camera-ready PDF and a self-contained matplotlib script.
Dsadd4/AgentFigureGallery
Lets a plotting agent query a gallery of scientific figure references, show candidates for you to pick from, and export the chosen ones before it writes plot code.
lingzhi227/agent-research-skills
Generates publication-quality scientific figures with matplotlib or seaborn through query expansion, a run-and-retry coding loop and a visual check of the rendered PNG.
joshzyj/open-scholar-skill
Turn unstructured text into validated, structured variables at corpus scale with LLMs: codebook design, dev/gold-set construction, DSPy prompt optimization, a hard reliability gate (Cohen κ ≥ 0.70)…
joshzyj/open-scholar-skill
Stable, deterministic social-science research-paper pipeline from idea or data to verified manuscript, citations, replication package, and final md/docx/tex/pdf outputs.
joshzyj/open-scholar-skill
Build and query a local vector database + GraphRAG over your entire reference library (Zotero or a PDF folder) for literature review.
joshzyj/open-scholar-skill
Comprehensive causal inference toolkit for social science research.
joshzyj/open-scholar-skill
Comprehensive open data directory (100+ datasets across 14 categories) with auto-fetch capability, plus data collection instrument design, variable dictionaries, data management, IRB materials, and…
joshzyj/open-scholar-skill
Conduct exploratory data analysis (EDA) before hypothesis testing.
Works with
Design and analyze studies in sociolinguistics, language variation, acoustic phonetics, discourse analysis, language contact, and computational linguistics. Scholar Ling is an agent skill from joshzyj/open-scholar-skill. Design and analyze studies in sociolinguistics, language variation, acoustic phonetics, discourse analysis, language contact, and computational linguistics.
Scholar Ling fits situations like: language in Society; journal of Sociolinguistics; applied Linguistics; nature Human Behaviour.
Run `npx skills add joshzyj/open-scholar-skill --skill scholar-ling -a claude-code`. Or copy the skill folder (.claude/skills/scholar-ling in joshzyj/open-scholar-skill) into .claude/skills/scholar-ling in your project. Claude Code loads it when a task matches its description.
Run `npx skills add joshzyj/open-scholar-skill --skill scholar-ling -a codex`. Or copy the skill folder (.claude/skills/scholar-ling in joshzyj/open-scholar-skill) into .agents/skills/scholar-ling 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 joshzyj/open-scholar-skill --skill scholar-ling -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scholar-ling, .gemini/skills/scholar-ling, .github/skills/scholar-ling and .opencode/skills/scholar-ling in your project.
Going by SKILL.md and its folder, Scholar Ling needs the command-line tools its instructions call (bash). Our summary lists: Python 3.
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. Review the folder before installing.
Scholar Ling has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 6.7k tokens (SKILL.md is roughly 27k 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 25k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Scholar Ling: Scientific Toolkit Skill (zLanqing/codex-claude-academic-skills, 4.7k stars), Scientific Figure Making (ChenLiu-1996/figures4papers, 8.3k stars), Literature Survey (ai4s-research/ai4s-skills, 237 stars) and FigMirror (VILA-Lab/FigMirror, 523 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
joshzyj (a GitHub user) maintains it in joshzyj/open-scholar-skill, which has 168 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on September 18, 2026.
Source: joshzyj/open-scholar-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.