Prepare a replication package for the sewage-house-prices project.

Custom licenceAuto-check: notesResearch & Science

Install Data Deposit

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-deposit --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/41-sticerd-eee-sewage-econometrics-check/skills/data-deposit .claude/skills/data-deposit && 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
data-deposit
GitHub stars
4.5k
Token cost
~1.2k tokens
SKILL.md length
421 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Prepare a replication package for the sewage-house-prices project.

  • Works in 5 steps: Inventory → Analyse Dependencies → Assemble Package → …
  • Tasks that involve Econometrics and empirical research
  • SKILL.md covers Project-Specific Context, Workflow and Principles
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Data Deposit is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Prepare a replication package for the sewage-house-prices project. Generates AEA-compliant README, master script, numbered script order, install script, and deposit checklist. Validates the package against 10 verification checks. This skill should be used when asked to "prepare replication", "data deposit", "create replication package", or "package for submission".

Its SKILL.md is about 1.2k 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, Database administration and Technical documentation. It works with Python. 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 Database administration
  • Tasks that involve Technical documentation

Example prompts

  • “prepare replication”
  • “data deposit”
  • “create replication package”
  • “/data-deposit”

Requirements

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

Workflow steps

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

  1. Inventory
  2. Analyse Dependencies
  3. Assemble Package
  4. Validate
  5. Present Results

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
    • Grep
    • Glob
    • Write
    • Edit
    • Bash
    • Agent

    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 r).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    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

Data Deposit loads about 1.2k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 421 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Grep, Glob, Write, Edit, Bash, Agent

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 421 words (~1,168 tokens).

“Prepare an AEA Data Editor compliant replication package for the sewage-house-prices project.”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
data-deposit
allowed-tools
Read, Grep, Glob, Write, Edit, Bash, Agent
argument-hint
[optional: output directory]

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/41-sticerd-eee-sewage-econometrics-check/skills/data-deposit of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Data Deposit 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.

Data Deposit compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Data Deposit this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~1.2kAutomated safety check: NotesCustom licence
Qe Replication And Data Policyfranklee16/academic-research-skills2231 repos~1.2kAutomated safety check: PassNone
Eer Replication Packagebrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT
Jle Replication Packagebrycewang-stanford/Awesome-Journal-Skills1.2k—~1.9kAutomated safety check: PassMIT
Audit Reproducibilitypedrohcgs/claude-code-my-workflow1.7k—~6.4kAutomated safety check: NotesMIT
Jape Replication And Data Policyfranklee16/academic-research-skills2231 repos~671Automated safety check: PassNone

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Works with

Questions about Data Deposit

What does Data Deposit do?

Prepare a replication package for the sewage-house-prices project. Data Deposit is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Prepare a replication package for the sewage-house-prices project.

When should I use Data Deposit?

Data Deposit fits situations like: tasks that involve Econometrics and empirical research; tasks that involve Database administration; tasks that involve Technical documentation.

How do I install Data Deposit in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-deposit -a claude-code`. Or copy the skill folder (skills/41-sticerd-eee-sewage-econometrics-check/skills/data-deposit in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/data-deposit in your project. Claude Code loads it when a task matches its description.

How do I install Data Deposit in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-deposit -a codex`. Or copy the skill folder (skills/41-sticerd-eee-sewage-econometrics-check/skills/data-deposit in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/data-deposit in your project. Codex loads it when a task matches its description.

Can I use Data Deposit 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 data-deposit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-deposit, .gemini/skills/data-deposit, .github/skills/data-deposit and .opencode/skills/data-deposit in your project.

What does Data Deposit need to run?

SKILL.md names no scripts, command-line tools or credentials: Data Deposit is instructions for the agent only. Our summary lists: Python 3; Docker. Its frontmatter pre-approves these tools: Read, Grep, Glob, Write, Edit, Bash, Agent.

Does Data Deposit access the network?

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.

Is Data Deposit safe to install?

Our automated static check of SKILL.md found notes only (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 Data Deposit use?

Data Deposit 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 Data Deposit use?

About 1.2k tokens (SKILL.md is roughly 4.7k 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 Data Deposit?

Skills that share tags, products or a category with Data Deposit: Qe Replication And Data Policy (franklee16/academic-research-skills, 223 stars), Eer Replication Package (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Jle Replication Package (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Audit Reproducibility (pedrohcgs/claude-code-my-workflow, 1.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Data Deposit?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,542 GitHub stars. The repository holds 383 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.