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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…
Sequential robustness checks in Stata with confounder blocks
Install Robustness Checks
$ npx skills add wentorai/research-plugins --skill robustness-checks -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wentorai/research-plugins robustness-checks --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/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analysis/econometrics/robustness-checks .claude/skills/robustness-checks && 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 "robustness-checks" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/analysis/econometrics/robustness-checks into .claude/skills/robustness-checks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "robustness-checks", 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/wentorai/research-plugins/tree/main/skills/analysis/econometrics/robustness-checksType 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 wentorai/research-plugins --skill robustness-checks -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wentorai/research-plugins robustness-checks --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/analysis/econometrics/robustness-checks .agents/skills/robustness-checks && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "robustness-checks" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/analysis/econometrics/robustness-checks into .agents/skills/robustness-checks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "robustness-checks", 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 wentorai/research-plugins --skill robustness-checks -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wentorai/research-plugins robustness-checks --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/analysis/econometrics/robustness-checks .cursor/skills/robustness-checks && 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 "robustness-checks" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/analysis/econometrics/robustness-checks into .cursor/skills/robustness-checks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "robustness-checks", 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/wentorai/research-plugins.git --path skills/analysis/econometrics/robustness-checks--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 wentorai/research-plugins --skill robustness-checks -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wentorai/research-plugins robustness-checks --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/analysis/econometrics/robustness-checks .gemini/skills/robustness-checks && 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 "robustness-checks" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/analysis/econometrics/robustness-checks into .gemini/skills/robustness-checks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "robustness-checks", 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 wentorai/research-plugins robustness-checksInstalls 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 wentorai/research-plugins --skill robustness-checks -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/analysis/econometrics/robustness-checks .github/skills/robustness-checks && 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 "robustness-checks" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/analysis/econometrics/robustness-checks into .github/skills/robustness-checks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "robustness-checks", 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 wentorai/research-plugins --skill robustness-checks -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wentorai/research-plugins robustness-checks --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/analysis/econometrics/robustness-checks .opencode/skills/robustness-checks && 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 "robustness-checks" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/analysis/econometrics/robustness-checks into .opencode/skills/robustness-checks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "robustness-checks", 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
robustness-checks- GitHub stars
- 298
- Used in
- 1 other repo
- Token cost
- ~1.7k tokens
- SKILL.md length
- 122 words
- Files
- 1
- Skills in repo
- 405
- Repo updated
- First seen
- Licence
- MIT
At a glance
Sequential robustness checks in Stata with confounder blocks
- Works in 6 steps: Sequential Model Building → Standard Robustness Check Template → Multiple Outcomes → …
- Tasks that involve Econometrics and empirical research
- SKILL.md covers Quick Start, Key Patterns, Interpretation Guide and Tips
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Robustness Checks is an agent skill from wentorai/research-plugins. Sequential robustness checks in Stata with confounder blocks
Its SKILL.md is about 1.7k 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 Research & Science, covering Econometrics and empirical research. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.
When your agent uses it
- Tasks that involve Econometrics and empirical research
Example prompts
- “/robustness-checks”
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit bf44b3c. 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 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
Robustness Checks loads about 1.7k tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 122 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 wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 122 words, ~1,700 tokens.
Download SKILL.mdSave it as
.claude/skills/robustness-checks/SKILL.md (or your agent's skills folder).- name
- robustness-checks
- description
- Sequential robustness checks in Stata with confounder blocks
Robustness Checks
A skill for conducting sequential robustness checks in Stata, systematically adding blocks of potential confounders to assess estimate stability.
Quick Start
* Base model
svy: regress outcome controls treatment
estimates store m1
* Add confounder block
svy: regress outcome controls treatment confounder1 confounder2
estimates store m2
* Compare
esttab m1 m2, se star(+ 0.1 * 0.05 ** 0.01)Key Patterns
1. Sequential Model Building
* Define base controls
local control_var i.batch age i.race i.gender i.education
estimates clear
* Model 1: Base model
svy: regress outcome `control_var' treatment
margins, dydx(treatment) post
estimates store m1
* Model 2: Add contextual factors
svy: regress outcome `control_var' treatment covid health_insurance
margins, dydx(treatment) post
estimates store m2
* Model 3: Add health factors
svy: regress outcome `control_var' treatment cci_charlson any_encounter
margins, dydx(treatment) post
estimates store m3
* Model 4: Add psychological factors
svy: regress outcome `control_var' treatment depression anxiety
margins, dydx(treatment) post
estimates store m4
* Model 5: Add behavioral factors
svy: regress outcome `control_var' treatment i.smoke_status bmi
margins, dydx(treatment) post
estimates store m52. Standard Robustness Check Template
*------------------------------------------------------------
* Table: Robustness Checks
*------------------------------------------------------------
version 17
clear all
use "analysis_data.dta", clear
svyset cluster [pweight = weight]
* Base controls (always included)
local control_var i.batch leukocytes age i.race i.gender i.education i.marital
estimates clear
*--- Model 1: Baseline ---
svy: regress outcome `control_var' treatment
margins, dydx(treatment) post
estimates store m1
*--- Model 2: + COVID & Insurance ---
svy: regress outcome `control_var' treatment covid health_insurance
margins, dydx(treatment) post
estimates store m2
*--- Model 3: + Healthcare utilization ---
svy: regress outcome `control_var' treatment cci_charlson any_encounter_3years
margins, dydx(treatment) post
estimates store m3
*--- Model 4: + Multimorbidity ---
svy: regress outcome `control_var' treatment multi_morbidity
margins, dydx(treatment) post
estimates store m4
*--- Model 5: + Psychosocial factors ---
svy: regress outcome `control_var' treatment matter_important matter_depend
margins, dydx(treatment) post
estimates store m5
*--- Model 6: + Occupation ---
svy: regress outcome `control_var' treatment i.occ_group
margins, dydx(treatment) post
estimates store m6
*--- Model 7: + Smoking ---
svy: regress outcome `control_var' treatment i.smoke_status
margins, dydx(treatment) post
estimates store m7
*--- Model 8: + Childhood adversity ---
svy: regress outcome `control_var' treatment c.aces_sum_std
margins, dydx(treatment) post
estimates store m8
*--- Export ---
esttab m1 m2 m3 m4 m5 m6 m7 m8 using "robustness.csv", csv se ///
mtitle("Base" "+COVID" "+Health" "+Morbid" "+Psych" "+Occ" "+Smoke" "+ACE") ///
nogap label replace star(+ 0.1 * 0.05 ** 0.01)3. Multiple Outcomes
* Repeat for each outcome
foreach outcome in pace grimage2 phenoage {
estimates clear
svy: regress `outcome' `control_var' treatment
margins, dydx(treatment) post
estimates store `outcome'_m1
svy: regress `outcome' `control_var' treatment covid health_insurance
margins, dydx(treatment) post
estimates store `outcome'_m2
svy: regress `outcome' `control_var' treatment cci_charlson any_encounter
margins, dydx(treatment) post
estimates store `outcome'_m3
}
* Export all
esttab pace_m1 pace_m2 pace_m3 grimage2_m1 grimage2_m2 grimage2_m3 ///
using "robustness_all.csv", csv se nogap label replace4. Model Specification Checks
estimates clear
* Linear specification
svy: regress outcome `control_var' treatment
estimates store linear
* Logged outcome
gen log_outcome = ln(outcome + 1)
svy: regress log_outcome `control_var' treatment
estimates store log_linear
* Categorical treatment
svy: regress outcome `control_var' i.treatment_cat
estimates store categorical
* With squared term
svy: regress outcome `control_var' c.treatment##c.treatment
estimates store quadratic
esttab linear log_linear categorical quadratic using "spec_checks.csv", ///
csv se nogap label replace5. Sample Restriction Checks
estimates clear
* Full sample
svy: regress outcome `control_var' treatment
estimates store full
* Exclude outliers
svy: regress outcome `control_var' treatment if outcome < p99_outcome
estimates store no_outliers
* Complete cases only
svy: regress outcome `control_var' treatment if complete_case == 1
estimates store complete
* Subpopulation
svy, subpop(if age >= 50): regress outcome `control_var' treatment
estimates store age50plus
esttab full no_outliers complete age50plus using "sample_checks.csv", ///
csv se nogap label replace6. Alternative Variable Definitions
estimates clear
* Binary treatment
svy: regress outcome `control_var' treatment_binary
margins, dydx(treatment_binary) post
estimates store binary
* Continuous treatment
svy: regress outcome `control_var' treatment_continuous
margins, dydx(treatment_continuous) post
estimates store continuous
* Categorical treatment
svy: regress outcome `control_var' i.treatment_cat
margins, dydx(treatment_cat) post
estimates store categorical
* Standardized treatment
svy: regress outcome `control_var' c.treatment_std
margins, dydx(treatment_std) post
estimates store standardized
esttab binary continuous categorical standardized using "alt_definitions.csv", ///
csv se nogap label replaceInterpretation Guide
| Result | Interpretation |
|---|---|
| Estimate stable across models | Robust to confounding |
| Estimate attenuates with additions | Confounding present |
| Estimate reverses sign | Serious confounding concern |
| Estimate strengthens | Suppression effect |
| SE increases substantially | Multicollinearity |
Tips
- Start with theoretically-motivated confounder blocks
- Order blocks from most to least plausible confounders
- Document the rationale for each block
- Present all models, not just the "best" one
- Watch for substantial increases in standard errors (multicollinearity)
- Consider pre-registering the robustness check plan
© wentorai, 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 skills/analysis/econometrics/robustness-checks of wentorai/research-plugins.
Open the folder on GitHubat commit bf44b3c
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Robustness Checks 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 |
|---|---|---|---|---|---|---|
| Robustness Checks this skillwentorai/research-plugins | 298 | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| 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 | 264 | — | ~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 |
Similar skills
Stata C Plugins
dylantmoore/stata-skill
Develop high-performance C/C++ plugins for Stata using the stplugin.h SDK.
Example Datasets
pymc-labs/CausalPy
Load built-in CausalPy example datasets for demos, tutorials, tests, and quick causal-analysis prototypes.
Stata Audit
SepineTam/mcp-for-stata
Inspect, validate, summarize, and render local Stata-MCP audit evidence under .statamcp.
Stata Skill Contributor
dylantmoore/stata-skill
Guide for contributing to the stata-skill project. An agent skill from dylantmoore/stata-skill.
Diagnostic Dofile
SepineTam/mcp-for-stata
A skill your agent uses when the user needs to inspect, audit, or diagnose the safety of a Stata do-file.
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Related
Categories
Questions about Robustness Checks
What does Robustness Checks do?
Sequential robustness checks in Stata with confounder blocks. Robustness Checks is an agent skill from wentorai/research-plugins.
When should I use Robustness Checks?
Robustness Checks fits situations like: tasks that involve Econometrics and empirical research.
How do I install Robustness Checks in Claude Code?
Run `npx skills add wentorai/research-plugins --skill robustness-checks -a claude-code`. Or copy the skill folder (skills/analysis/econometrics/robustness-checks in wentorai/research-plugins) into .claude/skills/robustness-checks in your project. Claude Code loads it when a task matches its description.
How do I install Robustness Checks in Codex?
Run `npx skills add wentorai/research-plugins --skill robustness-checks -a codex`. Or copy the skill folder (skills/analysis/econometrics/robustness-checks in wentorai/research-plugins) into .agents/skills/robustness-checks in your project. Codex loads it when a task matches its description.
Can I use Robustness Checks 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 wentorai/research-plugins --skill robustness-checks -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/robustness-checks, .gemini/skills/robustness-checks, .github/skills/robustness-checks and .opencode/skills/robustness-checks in your project.
What does Robustness Checks need to run?
SKILL.md names no scripts, command-line tools or credentials: Robustness Checks is instructions for the agent only.
Does Robustness Checks 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 Robustness Checks 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 Robustness Checks use?
Robustness Checks 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 Robustness Checks use?
About 1.7k tokens (SKILL.md is roughly 6.8k 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 Robustness Checks?
Skills that share tags, products or a category with Robustness Checks: 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, 264 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Robustness Checks?
wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.
Source: wentorai/research-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.