Question2report
refraction-ray/xalpha
Turn a natural-language financial question into a polished, self-contained HTML report.
Run declarative data quality checks and generate a codebook.
Install Data Validate
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-validate -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-validate --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/61-phdemotions-research-methods/skills/data-validate .claude/skills/data-validate && 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-validate" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/61-phdemotions-research-methods/skills/data-validate into .claude/skills/data-validate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-validate", 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/61-phdemotions-research-methods/skills/data-validateType 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-validate -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-validate --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/61-phdemotions-research-methods/skills/data-validate .agents/skills/data-validate && 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-validate" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/61-phdemotions-research-methods/skills/data-validate into .agents/skills/data-validate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-validate", 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-validate -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-validate --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/61-phdemotions-research-methods/skills/data-validate .cursor/skills/data-validate && 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-validate" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/61-phdemotions-research-methods/skills/data-validate into .cursor/skills/data-validate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-validate", 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/61-phdemotions-research-methods/skills/data-validate--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-validate -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-validate --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/61-phdemotions-research-methods/skills/data-validate .gemini/skills/data-validate && 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-validate" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/61-phdemotions-research-methods/skills/data-validate into .gemini/skills/data-validate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-validate", 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-validateInstalls 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-validate -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/61-phdemotions-research-methods/skills/data-validate .github/skills/data-validate && 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-validate" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/61-phdemotions-research-methods/skills/data-validate into .github/skills/data-validate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-validate", 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-validate -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-validate --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/61-phdemotions-research-methods/skills/data-validate .opencode/skills/data-validate && 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-validate" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/61-phdemotions-research-methods/skills/data-validate into .opencode/skills/data-validate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-validate", 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-validate- GitHub stars
- 4.5k
- Token cost
- ~1k tokens
- SKILL.md length
- 439 words
- Files
- 3 (incl. references)
- Skills in repo
- 364
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Run declarative data quality checks and generate a codebook.
- Works in 6 steps: Locate and read the data → Load rubric and run checks → Generate codebook → …
- The user says validate data
- SKILL.md covers How to run validation, Voice and Argument handling
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Data Validate is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Run declarative data quality checks and generate a codebook. Checks completeness, distributions, impossible values, duplicates, outliers, encoding issues, attention check failures, and manipulation check results. Produces a pointblank/pandera validation report and an auto-generated codebook. Use when the user says "validate data," "check data quality," "generate codebook," "what's wrong with my data," "data audit," "check my dataset," or when /research-intake identifies missing validation. Triggers on "validate,"…
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/criteria.md` and `references/principles.md`).
It sits in Data & Analytics, covering Data cleaning. 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
- The user says validate data
- Check data quality
- Generate codebook
- Whats wrong with my data
Example prompts
- “validate data,”
- “check data quality,”
- “generate codebook,”
- “/data-validate”
Requirements
- Python 3
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- Locate and read the data
- Load rubric and run checks
- Generate codebook
- Generate validation report
- Summarize findings
- Next steps
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 nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
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 Validate loads about 1k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 144 tokens; SKILL.md has 439 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 passed
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.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 439 words (~1,012 tokens).
“You are the first line of defense against bad data. Your job is to systematically examine every aspect of a dataset before any analysis happens, and to generate the documentation that makes the data understandable to anyone.”
- name
- data-validate
- argument-hint
- <path to data file or data/raw/ directory — defaults to data/raw/>
Files
SKILL.md and 2 other files (references) in skills/61-phdemotions-research-methods/skills/data-validate of brycewang-stanford/Auto-Empirical-Research-Skills.
- SKILL.md
- references/criteria.md
- references/principles.md
Open the folder on GitHubat commit 9fa87d8
Compare with similar skills
Data Validate 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 Validate this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~1k | Automated safety check: Pass | Custom licence | |
| Question2reportrefraction-ray/xalpha | 2.7k | — | ~3.2k | Automated safety check: Pass | MIT | |
| Dingo VerifyMigoXLab/dingo | 757 | — | ~741 | Automated safety check: Notes | Apache-2.0 | |
| Data Validationplatonai/Browser4 | 1.2k | — | ~896 | Automated safety check: Pass | Apache-2.0 | |
| Issues DeduplicationJetBrains/ideavim | 10k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Pandas ProJeffallan/claude-skills | 12k | 1 repos | ~1.5k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Data Validate
What does Data Validate do?
Run declarative data quality checks and generate a codebook. Data Validate is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Run declarative data quality checks and generate a codebook.
When should I use Data Validate?
Data Validate fits situations like: the user says validate data; check data quality; generate codebook; whats wrong with my data.
How do I install Data Validate in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-validate -a claude-code`. Or copy the skill folder (skills/61-phdemotions-research-methods/skills/data-validate in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/data-validate in your project. Claude Code loads it when a task matches its description.
How do I install Data Validate in Codex?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-validate -a codex`. Or copy the skill folder (skills/61-phdemotions-research-methods/skills/data-validate in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/data-validate in your project. Codex loads it when a task matches its description.
Can I use Data Validate 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-validate -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-validate, .gemini/skills/data-validate, .github/skills/data-validate and .opencode/skills/data-validate in your project.
What does Data Validate need to run?
SKILL.md names no scripts, command-line tools or credentials: Data Validate is instructions for the agent only. Our summary lists: Python 3.
Does Data Validate 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 Validate safe to install?
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.
What licence does Data Validate use?
Data Validate 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 Validate use?
About 1k tokens (SKILL.md is roughly 4k 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 1.8k tokens, read only when the agent opens those files.
What are the alternatives to Data Validate?
Skills that share tags, products or a category with Data Validate: Question2report (refraction-ray/xalpha, 2.7k stars), Dingo Verify (MigoXLab/dingo, 757 stars), Data Validation (platonai/Browser4, 1.2k stars) and Issues Deduplication (JetBrains/ideavim, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Validate?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,529 GitHub stars. The repository holds 364 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.