Stata
dylantmoore/stata-skill
Comprehensive Stata reference for writing correct .do files, data management, econometrics, causal inference, graphics, Mata programming, and 20 community packages (reghdfe, estout, did, rdrobust…
Agent skill
Structural Modeling
by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills
This skill covers structural econometric models. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
Install Structural Modeling
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill structural-modeling -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills structural-modeling --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/11-James-Traina-compound-science/skills/structural-modeling .claude/skills/structural-modeling && 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 "structural-modeling" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/structural-modeling into .claude/skills/structural-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structural-modeling", 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/11-James-Traina-compound-science/skills/structural-modelingType 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 structural-modeling -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills structural-modeling --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/11-James-Traina-compound-science/skills/structural-modeling .agents/skills/structural-modeling && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "structural-modeling" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/structural-modeling into .agents/skills/structural-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structural-modeling", 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 structural-modeling -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills structural-modeling --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/11-James-Traina-compound-science/skills/structural-modeling .cursor/skills/structural-modeling && 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 "structural-modeling" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/structural-modeling into .cursor/skills/structural-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structural-modeling", 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/11-James-Traina-compound-science/skills/structural-modeling--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 structural-modeling -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills structural-modeling --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/11-James-Traina-compound-science/skills/structural-modeling .gemini/skills/structural-modeling && 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 "structural-modeling" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/structural-modeling into .gemini/skills/structural-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structural-modeling", 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 structural-modelingInstalls 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 structural-modeling -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/11-James-Traina-compound-science/skills/structural-modeling .github/skills/structural-modeling && 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 "structural-modeling" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/structural-modeling into .github/skills/structural-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structural-modeling", 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 structural-modeling -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 structural-modeling --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/11-James-Traina-compound-science/skills/structural-modeling .opencode/skills/structural-modeling && 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 "structural-modeling" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/structural-modeling into .opencode/skills/structural-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structural-modeling", 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
structural-modeling- GitHub stars
- 4.5k
- Token cost
- ~2.6k tokens
- SKILL.md length
- 978 words
- Files
- 4 (incl. references)
- Skills in repo
- 369
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
This skill covers structural econometric models. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
- Works in 2 steps: Model Specification → Derive Moment Conditions
- The user is building
- SKILL.md covers When to Use This Skill, Quick Reference: Structural…, The Structural Estimation… and NFXP vs MPEC, plus 8 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Structural Modeling is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. This skill covers structural econometric models. Use when the user is building, estimating, or debugging structural models — including BLP demand estimation, dynamic discrete choice, auction models, or any workflow involving moment conditions, nested fixed-point algorithms, or MPEC formulations. Triggers on "structural model", "moment conditions", "NFXP", "MPEC", "BLP", "random coefficients", "dynamic discrete choice", "CCP", "Rust model", "auction estimation", "GMM objective", "inner loop", "contraction…
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/diagnostics-and-se.md`, `references/estimation-methods.md` and `references/jax-guide.md`).
It sits in Research & Science, covering Econometrics and empirical research. It works with Rust. 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 is building
- Debugging structural models — including BLP demand estimation
- Dynamic discrete choice
- Any workflow involving moment conditions
Example prompts
- “structural model”
- “moment conditions”
- “random coefficients”
- “/structural-modeling”
Requirements
- Python 3
Workflow steps
2 steps, taken from the step headings in SKILL.md.
- Model Specification
- Derive Moment Conditions
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
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
Structural Modeling loads about 2.6k tokens when it runs, and up to ~7.7k if it reads all its reference files. Until then it costs about 153 tokens; SKILL.md has 978 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 978 words (~2,643 tokens).
“Reference for implementing structural econometric models: from economic model to moment conditions to estimated parameters. Covers the full workflow of taking a theoretical model, deriving its empirical content, and recovering structural parameters from data.”
- name
- structural-modeling
- argument-hint
- <model type or estimation problem>
Files
SKILL.md and 3 other files (references) in skills/11-James-Traina-compound-science/skills/structural-modeling of brycewang-stanford/Auto-Empirical-Research-Skills.
- SKILL.md
- references/diagnostics-and-se.md
- references/estimation-methods.md
- references/jax-guide.md
Open the folder on GitHubat commit 9fa87d8
Compare with similar skills
Structural Modeling 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 |
|---|---|---|---|---|---|---|
| Structural Modeling this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~2.6k | Automated safety check: Pass | Custom licence | |
| Statadylantmoore/stata-skill | 291 | 1 repos | ~4.2k | Automated safety check: Pass | Custom licence | |
| Stata C Pluginsdylantmoore/stata-skill | 291 | 1 repos | ~5.8k | Automated safety check: Pass | Custom licence | |
| Example Datasetspymc-labs/CausalPy | 1.2k | — | ~587 | Automated safety check: Pass | Apache-2.0 | |
| Stata AuditSepineTam/mcp-for-stata | 263 | — | ~1.2k | Automated safety check: Pass | AGPL-3.0 | |
| Stata Skill Contributordylantmoore/stata-skill | 291 | 1 repos | ~2.4k | Automated safety check: Pass | Custom licence |
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Related
Works with
Categories
Questions about Structural Modeling
What does Structural Modeling do?
This skill covers structural econometric models. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Structural Modeling is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. This skill covers structural econometric models.
When should I use Structural Modeling?
Structural Modeling fits situations like: the user is building; debugging structural models — including BLP demand estimation; dynamic discrete choice; any workflow involving moment conditions.
How do I install Structural Modeling in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill structural-modeling -a claude-code`. Or copy the skill folder (skills/11-James-Traina-compound-science/skills/structural-modeling in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/structural-modeling in your project. Claude Code loads it when a task matches its description.
How do I install Structural Modeling in Codex?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill structural-modeling -a codex`. Or copy the skill folder (skills/11-James-Traina-compound-science/skills/structural-modeling in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/structural-modeling in your project. Codex loads it when a task matches its description.
Can I use Structural Modeling 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 structural-modeling -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/structural-modeling, .gemini/skills/structural-modeling, .github/skills/structural-modeling and .opencode/skills/structural-modeling in your project.
What does Structural Modeling need to run?
SKILL.md names no scripts, command-line tools or credentials: Structural Modeling is instructions for the agent only. Our summary lists: Python 3.
Does Structural Modeling 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 Structural Modeling 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 Structural Modeling use?
Structural Modeling 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 Structural Modeling use?
About 2.6k tokens (SKILL.md is roughly 11k 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 5.1k tokens, read only when the agent opens those files.
What are the alternatives to Structural Modeling?
Skills that share tags, products or a category with Structural Modeling: Stata (dylantmoore/stata-skill, 291 stars), Stata C Plugins (dylantmoore/stata-skill, 291 stars), Example Datasets (pymc-labs/CausalPy, 1.2k stars) and Stata Audit (SepineTam/mcp-for-stata, 263 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Structural Modeling?
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.