Statistical Data Analysis
lingzhi227/agent-research-skills
Writes statistical analysis code for experimental data, runs it through a four-round review, and reports effect sizes, p-values and confidence intervals.
Econometrics skill for descriptive statistics and summary tables.
Install Stats
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stats -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills stats --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/67-econfin-workflow-toolkit/stats .claude/skills/stats && 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 "stats" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/67-econfin-workflow-toolkit/stats into .claude/skills/stats/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stats", 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/67-econfin-workflow-toolkit/statsType 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 stats -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills stats --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/67-econfin-workflow-toolkit/stats .agents/skills/stats && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "stats" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/67-econfin-workflow-toolkit/stats into .agents/skills/stats/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stats", 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 stats -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills stats --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/67-econfin-workflow-toolkit/stats .cursor/skills/stats && 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 "stats" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/67-econfin-workflow-toolkit/stats into .cursor/skills/stats/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stats", 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/67-econfin-workflow-toolkit/stats--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 stats -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills stats --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/67-econfin-workflow-toolkit/stats .gemini/skills/stats && 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 "stats" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/67-econfin-workflow-toolkit/stats into .gemini/skills/stats/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stats", 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 statsInstalls 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 stats -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/67-econfin-workflow-toolkit/stats .github/skills/stats && 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 "stats" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/67-econfin-workflow-toolkit/stats into .github/skills/stats/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stats", 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 stats -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 stats --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/67-econfin-workflow-toolkit/stats .opencode/skills/stats && 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 "stats" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/67-econfin-workflow-toolkit/stats into .opencode/skills/stats/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stats", 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
stats- GitHub stars
- 4.5k
- Token cost
- ~2k tokens
- SKILL.md length
- 337 words
- Files
- 1
- Skills in repo
- 364
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Econometrics skill for descriptive statistics and summary tables.
- Works in 5 steps: Table 1: N, Mean, SD (and optionally… → Panel structure: If panel data, report N… → Balance table: If treatment/control… → …
- Asks about: descriptive statistics
- SKILL.md covers When to Use, Summary Statistics Table…, Balance Tables (Treatment vs… and Correlation Matrix, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Stats is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Econometrics skill for descriptive statistics and summary tables. Activates when the user asks about: "descriptive statistics", "summary statistics", "summary table", "Table 1", "balance table", "means and standard deviations", "correlation matrix", "data summary", "sample characteristics", "variable distributions", "描述性统计", "描述统计", "汇总统计", "统计表", "均值标准差", "平衡性检验", "相关矩阵", "样本特征", "变量分布"
Its SKILL.md is about 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 Data & Analytics, covering Data analysis, Statistics and Econometrics and empirical research. 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
- Asks about: descriptive statistics
- Summary statistics
- Means and standard deviations
- Correlation matrix
Example prompts
- “descriptive statistics”
- “summary statistics”
- “summary table”
- “/stats”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Table 1: N, Mean, SD (and optionally Min, Max, Median) for all variables used in analysis
- Panel structure: If panel data, report N units, T periods, and total N×T
- Balance table: If treatment/control design, show balance with t-tests or normalized differences
- Sample construction: Note any sample restrictions (e.g., "dropped observations with missing income")
- Winsorization: If applied, note percentiles (e.g., "winsorized at 1st and 99th percentiles")
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 (its code samples are python, r and stata).
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
Stats loads about 2k tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 337 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 337 words (~1,983 tokens).
“This skill generates publication-quality summary statistics tables, balance tables, and correlation matrices — the essential "Table 1" found in every empirical economics paper.”
- name
- stats
Files
Just SKILL.md in skills/67-econfin-workflow-toolkit/stats of brycewang-stanford/Auto-Empirical-Research-Skills.
Open the folder on GitHubat commit 9fa87d8
Compare with similar skills
Stats 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 |
|---|---|---|---|---|---|---|
| Stats this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~2k | Automated safety check: Pass | Custom licence | |
| Statistical Data Analysislingzhi227/agent-research-skills | 384 | — | ~886 | Automated safety check: Pass | None | |
| Q-EDA Exploratory AnalysisTyrealQ/q-skills | 108 | — | ~1.1k | Automated safety check: Pass | MIT | |
| PyMC Bayesian Modelingdavila7/claude-code-templates | 32k | 12 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Framing Research QuestionsK-Dense-AI/science-superpowers | 348 | — | ~2.5k | Automated safety check: Pass | Custom licence | |
| Gwas Databasedavila7/claude-code-templates | 32k | 10 repos | ~5k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Stats
What does Stats do?
Econometrics skill for descriptive statistics and summary tables. Stats is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Econometrics skill for descriptive statistics and summary tables.
When should I use Stats?
Stats fits situations like: asks about: descriptive statistics; summary statistics; means and standard deviations; correlation matrix.
How do I install Stats in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stats -a claude-code`. Or copy the skill folder (skills/67-econfin-workflow-toolkit/stats in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/stats in your project. Claude Code loads it when a task matches its description.
How do I install Stats in Codex?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stats -a codex`. Or copy the skill folder (skills/67-econfin-workflow-toolkit/stats in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/stats in your project. Codex loads it when a task matches its description.
Can I use Stats 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 stats -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/stats, .gemini/skills/stats, .github/skills/stats and .opencode/skills/stats in your project.
What does Stats need to run?
SKILL.md names no scripts, command-line tools or credentials: Stats is instructions for the agent only. Our summary lists: Python 3.
Does Stats 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 Stats 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 Stats use?
Stats 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 Stats use?
About 2k tokens (SKILL.md is roughly 7.9k 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 Stats?
Skills that share tags, products or a category with Stats: Statistical Data Analysis (lingzhi227/agent-research-skills, 384 stars), Q-EDA Exploratory Analysis (TyrealQ/q-skills, 108 stars), PyMC Bayesian Modeling (davila7/claude-code-templates, 32k stars) and Framing Research Questions (K-Dense-AI/science-superpowers, 348 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Stats?
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.