A skill your agent uses when a main specification has produced a result, when preparing a paper appendix, when a reviewer requests robustness, or before declaring any empirical finding final.

Custom licenceAuto-check passedResearch & Science

Install Robustness Checks

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill robustness-checks -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills robustness-checks --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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/60-regisely-superpapers/skills/robustness-checks .claude/skills/robustness-checks && rm -rf skills-src

Use ~/.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/

Facts

Skill name
robustness-checks
GitHub stars
4.5k
Token cost
~1.7k tokens
SKILL.md length
740 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses when a main specification has produced a result, when preparing a paper appendix, when a reviewer requests robustness, or before declaring any empirical finding final.

  • Works in 3 steps: Canonical for the design — the standard… → Plausibly challenging — the check probes… → Specifically requested — a reviewer…
  • A main specification has produced a result
  • SKILL.md covers Overview, When to Use, The YAGNI Principle and Mandatory Steps, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Robustness Checks is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Use when a main specification has produced a result, when preparing a paper appendix, when a reviewer requests robustness, or before declaring any empirical finding final. Guides selection of design-appropriate checks without mandating a fixed checklist.

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: 🔬 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

  • A main specification has produced a result
  • Preparing a paper appendix
  • A reviewer requests robustness
  • Before declaring any empirical finding final

Example prompts

  • “/robustness-checks”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Canonical for the design — the standard literature expects them (e.g., pre-trends for DiD, McCrary density for RD)
  2. Plausibly challenging — the check probes an assumption that could realistically fail
  3. Specifically requested — a reviewer asked for it

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 markdown).

    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 68 tokens; SKILL.md has 740 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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 740 words (~1,697 tokens).

“This skill applies canonical robustness checks appropriate to the research design. It is open-ended — the skill suggests checks that fit the specific identification strategy, not a blanket checklist. YAGNI applies aggressively: a paper with 5 well-chosen robustness checks is…”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
robustness-checks

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/60-regisely-superpapers/skills/robustness-checks of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

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.

Robustness Checks compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Robustness Checks this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~1.7kAutomated safety check: PassCustom licence
Statadylantmoore/stata-skill2911 repos~4.2kAutomated safety check: PassCustom licence
Stata C Pluginsdylantmoore/stata-skill2911 repos~5.8kAutomated safety check: PassCustom licence
Example Datasetspymc-labs/CausalPy1.2k—~587Automated safety check: PassApache-2.0
Stata AuditSepineTam/mcp-for-stata264—~1.2kAutomated safety check: PassAGPL-3.0
Stata Skill Contributordylantmoore/stata-skill2911 repos~2.4kAutomated safety check: PassCustom licence

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Questions about Robustness Checks

What does Robustness Checks do?

A skill your agent uses when a main specification has produced a result, when preparing a paper appendix, when a reviewer requests robustness, or before declaring any empirical finding final. Robustness Checks is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Use when a main specification has produced a result, when preparing a paper appendix, when a reviewer requests robustness, or before declaring any empirical finding final.

When should I use Robustness Checks?

Robustness Checks fits situations like: A main specification has produced a result; preparing a paper appendix; A reviewer requests robustness; before declaring any empirical finding final.

How do I install Robustness Checks in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill robustness-checks -a claude-code`. Or copy the skill folder (skills/60-regisely-superpapers/skills/robustness-checks in brycewang-stanford/Auto-Empirical-Research-Skills) 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill robustness-checks -a codex`. Or copy the skill folder (skills/60-regisely-superpapers/skills/robustness-checks in brycewang-stanford/Auto-Empirical-Research-Skills) 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 brycewang-stanford/Auto-Empirical-Research-Skills --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 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 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?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,542 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.