Statsmodels
zLanqing/codex-claude-academic-skills
Statistical models library for Python. An agent skill from zLanqing/codex-claude-academic-skills.
Panel data, IV/GMM, system regression. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
Install Linearmodels
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill linearmodels -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills linearmodels --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/17-DAAF-Contribution-Community-daaf/dot-claude/skills/linearmodels .claude/skills/linearmodels && 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 "linearmodels" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/linearmodels into .claude/skills/linearmodels/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linearmodels", 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/17-DAAF-Contribution-Community-daaf/dot-claude/skills/linearmodelsType 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 linearmodels -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills linearmodels --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/17-DAAF-Contribution-Community-daaf/dot-claude/skills/linearmodels .agents/skills/linearmodels && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linearmodels" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/linearmodels into .agents/skills/linearmodels/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linearmodels", 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 linearmodels -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills linearmodels --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/17-DAAF-Contribution-Community-daaf/dot-claude/skills/linearmodels .cursor/skills/linearmodels && 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 "linearmodels" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/linearmodels into .cursor/skills/linearmodels/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linearmodels", 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/17-DAAF-Contribution-Community-daaf/dot-claude/skills/linearmodels--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 linearmodels -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills linearmodels --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/17-DAAF-Contribution-Community-daaf/dot-claude/skills/linearmodels .gemini/skills/linearmodels && 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 "linearmodels" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/linearmodels into .gemini/skills/linearmodels/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linearmodels", 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 linearmodelsInstalls 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 linearmodels -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/17-DAAF-Contribution-Community-daaf/dot-claude/skills/linearmodels .github/skills/linearmodels && 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 "linearmodels" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/linearmodels into .github/skills/linearmodels/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linearmodels", 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 linearmodels -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 linearmodels --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/17-DAAF-Contribution-Community-daaf/dot-claude/skills/linearmodels .opencode/skills/linearmodels && 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 "linearmodels" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/linearmodels into .opencode/skills/linearmodels/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linearmodels", 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
linearmodels- GitHub stars
- 4.5k
- Token cost
- ~3.2k tokens
- SKILL.md length
- 841 words
- Files
- 8 (incl. references)
- Skills in repo
- 369
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Panel data, IV/GMM, system regression. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
- Works in 6 steps: New to linearmodels? Start with… → Need IV/GMM? Read quickstart.md then… → System estimation (SUR/3SLS)? Read… → …
- System estimation
- SKILL.md covers What is linearmodels?, How to Use This Skill, Related Skills and Quick Decision Trees, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Linearmodels is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Panel data, IV/GMM, system regression. PanelOLS (FE/RE), BetweenOLS, Fama-MacBeth, IV2SLS/LIML/GMM, SUR, 3SLS, Driscoll-Kraay SEs. Use for RE/between, system estimation, or GMM. Complements pyfixest (FE + DiD) and statsmodels (GLM + time series).
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `references/asset-pricing.md`, `references/covariance-inference.md` and `references/gotchas.md`).
It sits in Data & Analytics, covering Statistics, Forecasting and time series and Econometrics and empirical research. It works with statsmodels. 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
- System estimation
- Tasks that involve Statistics
- Tasks that involve Forecasting and time series
Example prompts
- “/linearmodels”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- New to linearmodels? Start with quickstart.md then panel-models.md
- Need IV/GMM? Read quickstart.md then iv-models.md
- System estimation (SUR/3SLS)? Read quickstart.md then system-models.md
- Asset pricing? Read quickstart.md then asset-pricing.md
- Choosing SEs? Read covariance-inference.md
- Coming from pyfixest? Read quickstart.md then gotchas.md
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).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
bashtage.github.io
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
Linearmodels loads about 3.2k tokens when it runs, and up to ~26k if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 841 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 841 words (~3,161 tokens).
“linearmodels: panel data, IV/GMM, system regression, and asset pricing models in Python. Covers PanelOLS (FE/RE), BetweenOLS, FirstDifferenceOLS, Fama-MacBeth, IV2SLS/LIML/GMM, SUR, IV3SLS, and Driscoll-Kraay SEs. Use for random effects estimation, between or first-difference panel models, system estimation (SUR, 3SLS), LIML/GMM instrumental…”
- name
- linearmodels
- metadata.audience
- research-coders
- metadata.domain
- python-library
- metadata.library-version
- 7.0
- metadata.skill-last-updated
- 2026-03-27
Files
SKILL.md and 7 other files (references) in skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/linearmodels of brycewang-stanford/Auto-Empirical-Research-Skills.
- SKILL.md
- references/asset-pricing.md
- references/covariance-inference.md
- references/gotchas.md
- references/iv-models.md
- references/panel-models.md
- references/quickstart.md
- references/system-models.md
Open the folder on GitHubat commit 9fa87d8
Compare with similar skills
Linearmodels 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 |
|---|---|---|---|---|---|---|
| Linearmodels this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~3.2k | Automated safety check: Pass | Custom licence | |
| StatsmodelszLanqing/codex-claude-academic-skills | 4.6k | 16 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| Quant Statistical MethodsHKUDS/Vibe-Trading | 35k | — | ~4k | Automated safety check: Pass | MIT | |
| StatsmodelsK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.2k | Automated safety check: Notes | BSD-3-Clause | |
| Automl SkillLeoYeAI/openclaw-master-skills | 2.2k | — | ~3.6k | Automated safety check: Pass | MIT | |
| Statsmodels Statistical Modelingmajiayu000/claude-skill-registry | 666 | 2 repos | ~4.2k | Automated safety check: Pass | BSD-3-Clause |
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Related
Works with
Categories
Questions about Linearmodels
What does Linearmodels do?
Panel data, IV/GMM, system regression. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Linearmodels is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Panel data, IV/GMM, system regression.
When should I use Linearmodels?
Linearmodels fits situations like: system estimation; tasks that involve Statistics; tasks that involve Forecasting and time series.
How do I install Linearmodels in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill linearmodels -a claude-code`. Or copy the skill folder (skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/linearmodels in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/linearmodels in your project. Claude Code loads it when a task matches its description.
How do I install Linearmodels in Codex?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill linearmodels -a codex`. Or copy the skill folder (skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/linearmodels in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/linearmodels in your project. Codex loads it when a task matches its description.
Can I use Linearmodels 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 linearmodels -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linearmodels, .gemini/skills/linearmodels, .github/skills/linearmodels and .opencode/skills/linearmodels in your project.
What does Linearmodels need to run?
SKILL.md names no scripts, command-line tools or credentials: Linearmodels is instructions for the agent only. Our summary lists: Python 3.
Does Linearmodels access the network?
SKILL.md names 1 domain. As links in the text: bashtage.github.io. This is read from the text; nothing was executed.
Is Linearmodels 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 Linearmodels use?
Linearmodels 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 Linearmodels use?
About 3.2k tokens (SKILL.md is roughly 13k 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 23k tokens, read only when the agent opens those files.
What are the alternatives to Linearmodels?
Skills that share tags, products or a category with Linearmodels: Statsmodels (zLanqing/codex-claude-academic-skills, 4.6k stars), Quant Statistical Methods (HKUDS/Vibe-Trading, 35k stars), Statsmodels (K-Dense-AI/scientific-agent-skills, 48k stars) and Automl Skill (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linearmodels?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,517 GitHub stars. The repository holds 369 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.