Scaffold or audit a social-science replication package at a target directory.

Custom licenceAuto-check: notesResearch & Science

Install Replication Package

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill replication-package -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills replication-package --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
replication-package
GitHub stars
4.5k
Token cost
~3.7k tokens
SKILL.md length
1,358 words
Files
1
Skills in repo
369
Repo updated
First seen
Licence
Custom licence

At a glance

Scaffold or audit a social-science replication package at a target directory.

  • Works in 6 steps: Resolve the target directory → Decide on structure → Decide between scaffold and audit → …
  • Tasks that involve Econometrics and empirical research
  • SKILL.md covers Heritage and attribution, Standard, Instructions and Templates, plus 12 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

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…

When your agent uses it

  • Tasks that involve Econometrics and empirical research
  • Tasks that involve Feature launches and release readiness

Example prompts

  • “/replication-package”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Resolve the target directory
  2. Decide on structure
  3. Decide between scaffold and audit
  4. Scaffold the tree
  5. Write template files
  6. Report

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    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.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com
    • doi.org
    • go-fair.org

    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

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.

Always · name and description, kept in context so the agent knows when to use it
~104
When it runs · the whole SKILL.md, loaded when a task matches
~3.7k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:311
    .env
  • NoteMentions a .env fileSKILL.md:312
    .env.*
  • NoteMentions a .env fileSKILL.md:370
    - [ ] `.gitignore` excludes `.env`, `*.pem`, `*.key`, editor caches, R session artifacts, Python caches, and OS metadata
  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, Bash

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.

SKILL.md

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…”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
replication-package
allowed-tools
Read, Write, Edit, Bash
argument-hint
[path to replication folder; defaults to ./replication]

Read the full SKILL.md on GitHub

Files

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

Compare with similar skills

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.

Replication Package compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Replication Package this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~3.7kAutomated safety check: NotesCustom licence
Scholar Openjoshzyj/open-scholar-skill167—~14kAutomated safety check: PassCustom licence
Scholar Replicationjoshzyj/open-scholar-skill167—~19kAutomated safety check: PassCustom licence
GitHub Deep Researchbytedance/deer-flow83k5 repos~1.3kAutomated safety check: PassMIT
Release ValidationMesh-LLM/mesh-llm3.5k—~2.6kAutomated safety check: PassApache-2.0
Final Release Reviewopenai/openai-agents-python30k—~5.4kAutomated safety check: PassMIT

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Works with

Questions about Replication Package

What does Replication Package do?

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.

When should I use Replication Package?

Replication Package fits situations like: tasks that involve Econometrics and empirical research; tasks that involve Feature launches and release readiness.

How do I install Replication Package in Claude Code?

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.

How do I install Replication Package in Codex?

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.

Can I use Replication Package 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 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.

What does Replication Package need to run?

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.

Does Replication Package access the network?

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.

Is Replication Package safe to install?

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.

What licence does Replication Package use?

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.

How many tokens does Replication Package use?

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.

What are the alternatives to Replication Package?

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.

Who maintains Replication Package?

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.