Checklist of empirical robustness tests for finance/economics papers

Custom licenceAuto-check passedResearch & Science

Install Robustness

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills robustness --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/30-zirui-song-claude-skills/robustness .claude/skills/robustness && 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
GitHub stars
4.5k
Token cost
~1.4k tokens
SKILL.md length
499 words
Files
1
Skills in repo
364
Repo updated
First seen
Licence
Custom licence

At a glance

Checklist of empirical robustness tests for finance/economics papers

  • Works in 5 steps: Alternative Samples → Alternative Specifications → Alternative Measures → …
  • Research & Science work in your project
  • SKILL.md covers Core Robustness Categories, DiD-Specific Tests, IV-Specific Tests and Quick Commands, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Robustness is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Checklist of empirical robustness tests for finance/economics papers

Its SKILL.md is about 1.4k 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. 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

  • Research & Science work in your project

Example prompts

  • “/robustness”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Alternative Samples
  2. Alternative Specifications
  3. Alternative Measures
  4. Identification Tests
  5. Inference Robustness

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.

    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 loads about 1.4k tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 499 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~20
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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 499 words (~1,354 tokens).

“Systematic checklist of robustness tests for empirical research. Use this to ensure comprehensive testing before submission.”

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

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/30-zirui-song-claude-skills/robustness of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Robustness 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 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Robustness this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~1.4kAutomated safety check: PassCustom licence
Hypothesis Generationspacering-net/codeg3.8k15 repos~3.6kAutomated safety check: NotesMIT
GitHub Deep Researchbytedance/deer-flow83k5 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills46k2 repos~2.1kAutomated safety check: PassApache-2.0
Read arXiv Paperkarpathy/nanochat58k2 repos~494Automated safety check: PassMIT
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT

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Questions about Robustness

What does Robustness do?

Checklist of empirical robustness tests for finance/economics papers. Robustness is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

When should I use Robustness?

Robustness fits situations like: research & Science work in your project.

How do I install Robustness in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill robustness -a claude-code`. Or copy the skill folder (skills/30-zirui-song-claude-skills/robustness in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/robustness in your project. Claude Code loads it when a task matches its description.

How do I install Robustness in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill robustness -a codex`. Or copy the skill folder (skills/30-zirui-song-claude-skills/robustness in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/robustness in your project. Codex loads it when a task matches its description.

Can I use Robustness 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 -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, .gemini/skills/robustness, .github/skills/robustness and .opencode/skills/robustness in your project.

What does Robustness need to run?

SKILL.md names no scripts, command-line tools or credentials: Robustness is instructions for the agent only.

Does Robustness 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 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 use?

Robustness 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 use?

About 1.4k tokens (SKILL.md is roughly 5.4k 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?

Skills that share tags, products or a category with Robustness: Hypothesis Generation (spacering-net/codeg, 3.8k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars), Nature Paper Card (Yuan1z0825/nature-skills, 46k stars) and Read arXiv Paper (karpathy/nanochat, 58k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Robustness?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,529 GitHub stars. The repository holds 364 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.