Econml Causal Guide
wentorai/research-plugins
Apply EconML for causal inference combining machine learning and econometrics
Econometrics skill for OLS regression and linear models. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
Install Ols Regression
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill ols-regression -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills ols-regression --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/ols-regression .claude/skills/ols-regression && 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 "ols-regression" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/67-econfin-workflow-toolkit/ols-regression into .claude/skills/ols-regression/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ols-regression", 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/ols-regressionType 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 ols-regression -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills ols-regression --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/ols-regression .agents/skills/ols-regression && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ols-regression" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/67-econfin-workflow-toolkit/ols-regression into .agents/skills/ols-regression/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ols-regression", 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 ols-regression -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills ols-regression --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/ols-regression .cursor/skills/ols-regression && 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 "ols-regression" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/67-econfin-workflow-toolkit/ols-regression into .cursor/skills/ols-regression/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ols-regression", 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/ols-regression--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 ols-regression -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills ols-regression --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/ols-regression .gemini/skills/ols-regression && 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 "ols-regression" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/67-econfin-workflow-toolkit/ols-regression into .gemini/skills/ols-regression/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ols-regression", 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 ols-regressionInstalls 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 ols-regression -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/ols-regression .github/skills/ols-regression && 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 "ols-regression" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/67-econfin-workflow-toolkit/ols-regression into .github/skills/ols-regression/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ols-regression", 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 ols-regression -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 ols-regression --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/ols-regression .opencode/skills/ols-regression && 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 "ols-regression" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/67-econfin-workflow-toolkit/ols-regression into .opencode/skills/ols-regression/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ols-regression", 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
ols-regression- GitHub stars
- 4.6k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 491 words
- Files
- 2 (incl. references)
- Skills in repo
- 383
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Econometrics skill for OLS regression and linear models. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
- Works in 5 steps: Clarify the research question and data —… → Specify the model — choose functional… → Run the regression — provide code in the… → …
- Asks about: run OLS
- SKILL.md covers Core Workflow, Key Concepts, Quick Code Templates and Diagnostics Checklist, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Ols Regression is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Econometrics skill for OLS regression and linear models. Activates when the user asks about: "run OLS", "linear regression", "ordinary least squares", "interpret regression results", "heteroskedasticity", "multicollinearity", "regression assumptions", "robust standard errors", "GLS", "WLS", "fit a regression model", "check regression diagnostics", "OLS假设", "最小二乘法", "线性回归", "回归系数", "残差检验", "异方差", "多重共线性", "普通最小二乘", "稳健标准误", "回归诊断"
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/ols-reference.md`).
It sits in Research & Science, covering Econometrics and empirical research and Machine learning. 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: run OLS
- Linear regression
- Ordinary least squares
- Interpret regression results
Example prompts
- “run OLS”
- “linear regression”
- “ordinary least squares”
- “/ols-regression”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Clarify the research question and data — understand dependent variable, key regressors, and sample
- Specify the model — choose functional form, control variables, fixed effects if needed
- Run the regression — provide code in the user's preferred language
- Check assumptions — run diagnostics systematically (see references)
- Interpret and report — explain coefficients, significance, fit, and caveats
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
Ols Regression loads about 1.2k tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 112 tokens; SKILL.md has 491 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 491 words (~1,210 tokens).
“This skill provides comprehensive guidance for OLS regression and linear models in empirical research. It covers model specification, assumption testing, diagnostic checks, and result interpretation, with code examples in Python, R, and Stata.”
- name
- ols-regression
Files
SKILL.md and 1 other file (references) in skills/67-econfin-workflow-toolkit/ols-regression of brycewang-stanford/Auto-Empirical-Research-Skills.
- SKILL.md
- references/ols-reference.md
Open the folder on GitHubat commit 9fa87d8
Compare with similar skills
Ols Regression 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 |
|---|---|---|---|---|---|---|
| Ols Regression this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Econml Causal Guidewentorai/research-plugins | 298 | 1 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Modeling Strategy Guidewentorai/research-plugins | 298 | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Ectj Literature Positioningbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Senior Data Scientistborghei/Claude-Skills | 891 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Qiskit 2.x Quantum ML Referenceaiming-lab/AutoResearchClaw | 15k | — | ~4.7k | Automated safety check: Pass | MIT |
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Senior Data Scientist
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Qiskit 2.x Quantum ML Reference
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Reference patterns for writing qiskit 2.x code for variational quantum machine learning: feature maps, VQC training, VQE for chemistry, MPS circuits and noise models.
Example Datasets
pymc-labs/CausalPy
Load built-in CausalPy example datasets for demos, tutorials, tests, and quick causal-analysis prototypes.
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Related
Categories
Questions about Ols Regression
What does Ols Regression do?
Econometrics skill for OLS regression and linear models. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Ols Regression is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Econometrics skill for OLS regression and linear models.
When should I use Ols Regression?
Ols Regression fits situations like: asks about: run OLS; linear regression; ordinary least squares; interpret regression results.
How do I install Ols Regression in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill ols-regression -a claude-code`. Or copy the skill folder (skills/67-econfin-workflow-toolkit/ols-regression in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/ols-regression in your project. Claude Code loads it when a task matches its description.
How do I install Ols Regression in Codex?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill ols-regression -a codex`. Or copy the skill folder (skills/67-econfin-workflow-toolkit/ols-regression in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/ols-regression in your project. Codex loads it when a task matches its description.
Can I use Ols Regression 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 ols-regression -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ols-regression, .gemini/skills/ols-regression, .github/skills/ols-regression and .opencode/skills/ols-regression in your project.
What does Ols Regression need to run?
SKILL.md names no scripts, command-line tools or credentials: Ols Regression is instructions for the agent only. Our summary lists: Python 3.
Does Ols Regression 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 Ols Regression 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 Ols Regression use?
Ols Regression 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 Ols Regression use?
About 1.2k tokens (SKILL.md is roughly 4.8k 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 1.3k tokens, read only when the agent opens those files.
What are the alternatives to Ols Regression?
Skills that share tags, products or a category with Ols Regression: Econml Causal Guide (wentorai/research-plugins, 298 stars), Modeling Strategy Guide (wentorai/research-plugins, 298 stars), Ectj Literature Positioning (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Senior Data Scientist (borghei/Claude-Skills, 891 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ols Regression?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 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.