Exploratory Data Analysis
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
Use this skill before any data analysis, transformation, or modeling.
Install Data Validation First
$ npx skills add aiming-lab/MetaClaw --skill data-validation-first -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiming-lab/MetaClaw data-validation-first --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/aiming-lab/MetaClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/memory_data/skills/data-validation-first .claude/skills/data-validation-first && 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-validation-first" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/data-validation-first into .claude/skills/data-validation-first/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-validation-first", 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/aiming-lab/MetaClaw/tree/main/memory_data/skills/data-validation-firstType 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 aiming-lab/MetaClaw --skill data-validation-first -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiming-lab/MetaClaw data-validation-first --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/memory_data/skills/data-validation-first .agents/skills/data-validation-first && 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-validation-first" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/data-validation-first into .agents/skills/data-validation-first/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-validation-first", 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 aiming-lab/MetaClaw --skill data-validation-first -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiming-lab/MetaClaw data-validation-first --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/memory_data/skills/data-validation-first .cursor/skills/data-validation-first && 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-validation-first" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/data-validation-first into .cursor/skills/data-validation-first/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-validation-first", 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/aiming-lab/MetaClaw.git --path memory_data/skills/data-validation-first--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 aiming-lab/MetaClaw --skill data-validation-first -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiming-lab/MetaClaw data-validation-first --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/memory_data/skills/data-validation-first .gemini/skills/data-validation-first && 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-validation-first" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/data-validation-first into .gemini/skills/data-validation-first/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-validation-first", 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 aiming-lab/MetaClaw data-validation-firstInstalls 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 aiming-lab/MetaClaw --skill data-validation-first -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/memory_data/skills/data-validation-first .github/skills/data-validation-first && 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-validation-first" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/data-validation-first into .github/skills/data-validation-first/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-validation-first", 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 aiming-lab/MetaClaw --skill data-validation-first -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiming-lab/MetaClaw data-validation-first --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/memory_data/skills/data-validation-first .opencode/skills/data-validation-first && 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-validation-first" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/data-validation-first into .opencode/skills/data-validation-first/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-validation-first", 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-validation-first- GitHub stars
- 3.5k
- Token cost
- ~230 tokens
- SKILL.md length
- 61 words
- Files
- 1
- Skills in repo
- 36
- Repo updated
- First seen
- Licence
- MIT
At a glance
Use this skill before any data analysis, transformation, or modeling.
- Tasks that involve Data analysis
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Data Validation First is an agent skill from aiming-lab/MetaClaw. Use this skill before any data analysis, transformation, or modeling. Always inspect and validate the data before drawing conclusions or writing transformations.
Its SKILL.md is about 230 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 Data & Analytics, covering Data analysis. The repository describes itself as: 🦞 Just talk to your agent — it learns and EVOLVES 🧬. The licence is MIT.
When your agent uses it
- Tasks that involve Data analysis
Example prompts
- “/data-validation-first”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 922caf3. 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 (its code samples are python).
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 Validation First loads about 230 tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 61 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
The full file from aiming-lab/MetaClaw at commit 922caf3, republished under its MIT licence (© aiming-lab). 61 words, ~230 tokens.
Download SKILL.mdSave it as
.claude/skills/data-validation-first/SKILL.md (or your agent's skills folder).- name
- data-validation-first
- description
- Use this skill before any data analysis, transformation, or modeling. Always inspect and validate the data before drawing conclusions or writing transformations.
- category
- data_analysis
Data Validation First
Before writing any analysis code, understand the data:
# Always run these first
df.shape # rows x columns
df.dtypes # column types
df.isnull().sum() # missing values per column
df.describe() # statistics for numeric columns
df.head() # sample rowsKey questions:
- Are there nulls in columns you'll join or filter on?
- Are numeric columns stored as strings? (parse_dates, astype)
- Are there unexpected duplicates (check primary key uniqueness)?
- Does the row count match your expectation from the source?
Anti-pattern: Running .groupby().sum() without first checking for nulls in the groupby key.
© aiming-lab, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in memory_data/skills/data-validation-first of aiming-lab/MetaClaw.
Open the folder on GitHubat commit 922caf3
Compare with similar skills
Data Validation First 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 Validation First this skillaiming-lab/MetaClaw | 3.5k | — | ~230 | Automated safety check: Pass | MIT | |
| Exploratory Data Analysisspacering-net/codeg | 3.8k | 15 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Excel and CSV Data Analysisbytedance/deer-flow | 83k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Exploratory Data AnalysisOleafly/Oleafly | 205 | 2 repos | ~3.4k | Automated safety check: Notes | MIT | |
| Python Executorcortega26/chile-hub | 113 | 2 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Agentic Kaggle WorkflowFrankS-IntelLab/agentic-kaggle-skill | 188 | — | ~4k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Data Validation First
What does Data Validation First do?
Use this skill before any data analysis, transformation, or modeling. Data Validation First is an agent skill from aiming-lab/MetaClaw. Use this skill before any data analysis, transformation, or modeling.
When should I use Data Validation First?
Data Validation First fits situations like: tasks that involve Data analysis.
How do I install Data Validation First in Claude Code?
Run `npx skills add aiming-lab/MetaClaw --skill data-validation-first -a claude-code`. Or copy the skill folder (memory_data/skills/data-validation-first in aiming-lab/MetaClaw) into .claude/skills/data-validation-first in your project. Claude Code loads it when a task matches its description.
How do I install Data Validation First in Codex?
Run `npx skills add aiming-lab/MetaClaw --skill data-validation-first -a codex`. Or copy the skill folder (memory_data/skills/data-validation-first in aiming-lab/MetaClaw) into .agents/skills/data-validation-first in your project. Codex loads it when a task matches its description.
Can I use Data Validation First 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 aiming-lab/MetaClaw --skill data-validation-first -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-validation-first, .gemini/skills/data-validation-first, .github/skills/data-validation-first and .opencode/skills/data-validation-first in your project.
What does Data Validation First need to run?
SKILL.md names no scripts, command-line tools or credentials: Data Validation First is instructions for the agent only. Our summary lists: Python 3.
Does Data Validation First 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 Validation First 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 Validation First use?
Data Validation First is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Data Validation First use?
About 230 tokens (SKILL.md is roughly 920 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 Validation First?
Skills that share tags, products or a category with Data Validation First: Exploratory Data Analysis (spacering-net/codeg, 3.8k stars), Excel and CSV Data Analysis (bytedance/deer-flow, 83k stars), Exploratory Data Analysis (Oleafly/Oleafly, 205 stars) and Python Executor (cortega26/chile-hub, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Validation First?
aiming-lab (a GitHub organization) maintains it in aiming-lab/MetaClaw, which has 3,459 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on June 7, 2026.
Source: aiming-lab/MetaClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.