Generate Codebook
Aperivue/medsci-skills
A skill your agent uses when a tabular dataset (CSV, Excel, Parquet, Stata, SAS) needs a data dictionary.
Scans notebooks for data file references and verifies each file exists on disk.
Install Data Audit
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-audit -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-audit --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/29-quarcs-lab-project20XXy/dot-claude/skills/data-audit .claude/skills/data-audit && 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 "data-audit" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/29-quarcs-lab-project20XXy/dot-claude/skills/data-audit into .claude/skills/data-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-audit", 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/29-quarcs-lab-project20XXy/dot-claude/skills/data-auditType 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 data-audit -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-audit --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/29-quarcs-lab-project20XXy/dot-claude/skills/data-audit .agents/skills/data-audit && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "data-audit" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/29-quarcs-lab-project20XXy/dot-claude/skills/data-audit into .agents/skills/data-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-audit", 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 data-audit -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-audit --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/29-quarcs-lab-project20XXy/dot-claude/skills/data-audit .cursor/skills/data-audit && 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 "data-audit" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/29-quarcs-lab-project20XXy/dot-claude/skills/data-audit into .cursor/skills/data-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-audit", 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/29-quarcs-lab-project20XXy/dot-claude/skills/data-audit--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 data-audit -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-audit --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/29-quarcs-lab-project20XXy/dot-claude/skills/data-audit .gemini/skills/data-audit && 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 "data-audit" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/29-quarcs-lab-project20XXy/dot-claude/skills/data-audit into .gemini/skills/data-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-audit", 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 data-auditInstalls 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 data-audit -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/29-quarcs-lab-project20XXy/dot-claude/skills/data-audit .github/skills/data-audit && 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 "data-audit" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/29-quarcs-lab-project20XXy/dot-claude/skills/data-audit into .github/skills/data-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-audit", 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 data-audit -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 data-audit --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/29-quarcs-lab-project20XXy/dot-claude/skills/data-audit .opencode/skills/data-audit && 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 "data-audit" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/29-quarcs-lab-project20XXy/dot-claude/skills/data-audit into .opencode/skills/data-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-audit", 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.
Facts
- Skill name
data-audit- GitHub stars
- 4.5k
- Token cost
- ~460 tokens
- SKILL.md length
- 202 words
- Files
- 1
- Skills in repo
- 383
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Scans notebooks for data file references and verifies each file exists on disk.
- Works in 6 steps: Scan all .ipynb files in notebooks/ for… → Extract every referenced file path and… → Check that each referenced file exists… → …
- Checking for broken data paths
- SKILL.md covers Steps and Error handling
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Data Audit is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Scans notebooks for data file references and verifies each file exists on disk. Use when checking for broken data paths.
Its SKILL.md is about 460 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 Documents & Office. It works with Microsoft Excel. 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
- Checking for broken data paths
Example prompts
- “Use the data-audit skill to scan notebooks for data file references and verifies each file exists on disk”
- “/data-audit”
Requirements
- Pre-approved tools (allowed-tools): Bash, Read, Glob, Grep
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Scan all .ipynb files in notebooks/ for data loading patterns
- Extract every referenced file path and normalize it
- Check that each referenced file exists in data/rawData/ or data/
- Scan data/rawData/ and data/ for all data files present on disk
- Report three categories
- Print a summary: total references, resolved, broken, undocumented files
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:
BashReadGlobGrep
From allowed-tools in the SKILL.md frontmatter.
Runs code
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.
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 Audit loads about 460 tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 202 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.
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: Bash, Read, Glob, Grep
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 202 words (~460 tokens).
“Scan all notebooks for data file references and verify they exist on disk.”
- name
- data-audit
- allowed-tools
- Bash, Read, Glob, Grep
Files
Just SKILL.md in skills/29-quarcs-lab-project20XXy/dot-claude/skills/data-audit of brycewang-stanford/Auto-Empirical-Research-Skills.
Open the folder on GitHubat commit 9fa87d8
Compare with similar skills
Data Audit 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 |
|---|---|---|---|---|---|---|
| Data Audit this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~460 | Automated safety check: Notes | Custom licence | |
| Generate CodebookAperivue/medsci-skills | 331 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Xiaobei Skill Image To Vbaxiao24bei/xiaobei-skill | 584 | — | ~6.9k | Automated safety check: Pass | Apache-2.0 | |
| Document Converterwentorai/Research-Claw | 858 | — | ~1.3k | Automated safety check: Pass | Custom licence | |
| Officecli Skillsmingchen666/Reviva | 241 | — | ~2k | Automated safety check: Pass | None | |
| MarkitdownImCa0/just-laws | 782 | 14 repos | ~3.2k | Automated safety check: Notes | MIT |
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Related
Works with
Categories
Questions about Data Audit
What does Data Audit do?
Scans notebooks for data file references and verifies each file exists on disk. Data Audit is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Scans notebooks for data file references and verifies each file exists on disk.
When should I use Data Audit?
Data Audit fits situations like: checking for broken data paths.
How do I install Data Audit in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-audit -a claude-code`. Or copy the skill folder (skills/29-quarcs-lab-project20XXy/dot-claude/skills/data-audit in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/data-audit in your project. Claude Code loads it when a task matches its description.
How do I install Data Audit in Codex?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-audit -a codex`. Or copy the skill folder (skills/29-quarcs-lab-project20XXy/dot-claude/skills/data-audit in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/data-audit in your project. Codex loads it when a task matches its description.
Can I use Data Audit 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-audit -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-audit, .gemini/skills/data-audit, .github/skills/data-audit and .opencode/skills/data-audit in your project.
What does Data Audit need to run?
SKILL.md names no scripts, command-line tools or credentials: Data Audit is instructions for the agent only. Its frontmatter pre-approves these tools: Bash, Read, Glob, Grep.
Does Data Audit 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 Audit 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 Audit use?
Data Audit 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 Audit use?
About 460 tokens (SKILL.md is roughly 1.8k 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 Audit?
Skills that share tags, products or a category with Data Audit: Generate Codebook (Aperivue/medsci-skills, 331 stars), Xiaobei Skill Image To Vba (xiao24bei/xiaobei-skill, 584 stars), Document Converter (wentorai/Research-Claw, 858 stars) and Officecli Skills (mingchen666/Reviva, 241 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Audit?
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.