Scholar Open
joshzyj/open-scholar-skill
Implement open science practices for a social science study.
Agent skill
by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills
Scaffold or audit a social-science replication package at a target directory.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill replication-package -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills replication-package --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/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/54-scdenney-open-science-skills/skills/replication-package .claude/skills/replication-package && 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 "replication-package" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/replication-package into .claude/skills/replication-package/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replication-package", 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/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/replication-packageType 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill replication-package -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills replication-package --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/54-scdenney-open-science-skills/skills/replication-package .agents/skills/replication-package && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "replication-package" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/replication-package into .agents/skills/replication-package/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replication-package", 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill replication-package -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills replication-package --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/54-scdenney-open-science-skills/skills/replication-package .cursor/skills/replication-package && 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 "replication-package" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/replication-package into .cursor/skills/replication-package/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replication-package", 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/brycewang-stanford/Auto-Empirical-Research-Skills.git --path skills/54-scdenney-open-science-skills/skills/replication-package--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 brycewang-stanford/Auto-Empirical-Research-Skills --skill replication-package -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills replication-package --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/54-scdenney-open-science-skills/skills/replication-package .gemini/skills/replication-package && 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 "replication-package" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/replication-package into .gemini/skills/replication-package/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replication-package", 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 brycewang-stanford/Auto-Empirical-Research-Skills replication-packageInstalls 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill replication-package -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/54-scdenney-open-science-skills/skills/replication-package .github/skills/replication-package && 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 "replication-package" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/replication-package into .github/skills/replication-package/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replication-package", 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill replication-package -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills replication-package --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/54-scdenney-open-science-skills/skills/replication-package .opencode/skills/replication-package && 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 "replication-package" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/replication-package into .opencode/skills/replication-package/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replication-package", 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.
replication-packageScaffold or audit a social-science replication package at a target directory.
Replication Package is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Scaffold or audit a social-science replication package at a target directory. Generates folder structure, README, master.R, figure/table crosswalk, codebook template, LICENSE placeholder, and pre-release checklist. Adapted from Yusaku Horiuchi's replication-package-guide with FAIR-principle integration; platform-neutral (Harvard Dataverse, OSF, Zenodo, GitHub releases, institutional archives).
Its SKILL.md is about 3.7k 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 Research & Science, covering Econometrics and empirical research and Feature launches and release readiness. It works with GitHub. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBashFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comdoi.orggo-fair.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.
Replication Package loads about 3.7k tokens when it runs. Until then it costs about 104 tokens; SKILL.md has 1,358 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 noted patterns worth knowing about, such as sudo or a known installer.
.env.env.*- [ ] `.gitignore` excludes `.env`, `*.pem`, `*.key`, editor caches, R session artifacts, Python caches, and OS metadataallowed-tools: Read, Write, Edit, BashAutomated 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 1,358 words (~3,717 tokens).
“The structural conventions in this skill (single-entry-point principle, compact vs. build/analyze layouts, figure/table crosswalk, paper-consistency check, correction workflow, pre-release checklist) come from Yusaku Horiuchi's replication-package-guide. Horiuchi's repository README explicitly authorizes AI consumption: it is "designed to be read by humans…”
Just SKILL.md in skills/54-scdenney-open-science-skills/skills/replication-package of brycewang-stanford/Auto-Empirical-Research-Skills.
Open the folder on GitHubat commit 9fa87d8
Replication Package 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 |
|---|---|---|---|---|---|---|
| Replication Package this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~3.7k | Automated safety check: Notes | Custom licence | |
| Scholar Openjoshzyj/open-scholar-skill | 167 | — | ~14k | Automated safety check: Pass | Custom licence | |
| Scholar Replicationjoshzyj/open-scholar-skill | 167 | — | ~19k | Automated safety check: Pass | Custom licence | |
| GitHub Deep Researchbytedance/deer-flow | 83k | 5 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Release ValidationMesh-LLM/mesh-llm | 3.5k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Final Release Reviewopenai/openai-agents-python | 30k | — | ~5.4k | Automated safety check: Pass | MIT |
joshzyj/open-scholar-skill
Implement open science practices for a social science study.
joshzyj/open-scholar-skill
Build, document, test, and validate a journal-ready replication package for social science research.
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Mesh-LLM/mesh-llm
A skill your agent uses when validating a MeshLLM release candidate or current HEAD against the last GitHub release, assembling the canonical feature/fix/modification inventory, testing locally…
openai/openai-agents-python
Assess a Python SDK release candidate or release plan against the previous release and recommend ship or block.
vllm-project/vllm-ascend
Runs the end-to-end vLLM Ascend release process: opens the release checklist and feedback issues, scans for release-blocking bugs and test coverage gaps, and generates release notes and announcements.
brycewang-stanford/Auto-Empirical-Research-Skills
English LaTeX academic paper assistant for existing .tex projects.
brycewang-stanford/Auto-Empirical-Research-Skills
Opinionated Bayesian modeling workflow with PyMC and ArviZ. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
brycewang-stanford/Auto-Empirical-Research-Skills
Deeply analyze any empirical economics PDF using the five-question framework (五问框架): research question, identification strategy, core estimand, robustness logic, and scholarly contribution.
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…
brycewang-stanford/Auto-Empirical-Research-Skills
Chinese LaTeX thesis assistant for existing .tex degree thesis projects (XeLaTeX/LuaLaTeX/latexmk).
brycewang-stanford/Auto-Empirical-Research-Skills
This skill should be used when the user asks to maintain an Obsidian knowledge base for a research project, import an existing research repository into Obsidian, keep project memory or daily notes…
Works with
Categories
Scaffold or audit a social-science replication package at a target directory. Replication Package is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Scaffold or audit a social-science replication package at a target directory.
Replication Package fits situations like: tasks that involve Econometrics and empirical research; tasks that involve Feature launches and release readiness.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill replication-package -a claude-code`. Or copy the skill folder (skills/54-scdenney-open-science-skills/skills/replication-package in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/replication-package in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill replication-package -a codex`. Or copy the skill folder (skills/54-scdenney-open-science-skills/skills/replication-package in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/replication-package 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill replication-package -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/replication-package, .gemini/skills/replication-package, .github/skills/replication-package and .opencode/skills/replication-package in your project.
SKILL.md names no scripts, command-line tools or credentials: Replication Package is instructions for the agent only. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash.
SKILL.md names 3 domains. As links in the text: github.com, doi.org and go-fair.org. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file; pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Replication Package has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 3.7k tokens (SKILL.md is roughly 15k 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 Replication Package: Scholar Open (joshzyj/open-scholar-skill, 167 stars), Scholar Replication (joshzyj/open-scholar-skill, 167 stars), GitHub Deep Research (bytedance/deer-flow, 83k stars) and Release Validation (Mesh-LLM/mesh-llm, 3.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,517 GitHub stars. The repository holds 369 skills in this directory. The repository was last updated on October 5, 2026.
Source: brycewang-stanford/Auto-Empirical-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.