Map the garden of forking paths for a concrete econometric design and turn it into a machine-readable design card that the specification-search engine can walk.

Custom licenceAuto-check passedResearch & Science

Install Forking Paths

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills forking-paths --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/73-brycewang-p-hacking-skills/skills/02-forking-paths .claude/skills/forking-paths && 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
forking-paths
GitHub stars
4.5k
Token cost
~2.4k tokens
SKILL.md length
985 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Map the garden of forking paths for a concrete econometric design and turn it into a machine-readable design card that the specification-search engine can walk.

  • Works in 4 steps: read the design-specific map → write a design card → size it before you walk it → …
  • Asked how many defensible analyses a dataset
  • SKILL.md covers Step 1 — read the…, Step 2 — write a design card, Step 3 — size it before you… and Step 4 — mark the…, plus 3 more sections
  • Calls python

What it does

Forking Paths is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Map the garden of forking paths for a concrete econometric design and turn it into a machine-readable design card that the specification-search engine can walk. Use when asked how many defensible analyses a dataset or research design admits, to enumerate researcher degrees of freedom for a specific DiD, IV, RDD, staggered-adoption, panel or cross-sectional study, to build or validate a design card, to encode a pre-registered specification, or to size a multiverse before running it.

Its SKILL.md is about 2.4k 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, 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

  • Asked how many defensible analyses a dataset
  • Research design admits
  • Enumerate researcher degrees of freedom for a specific DiD
  • Staggered-adoption

Example prompts

  • “/forking-paths”

Requirements

  • Python 3

Workflow steps

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

  1. read the design-specific map
  2. write a design card
  3. size it before you walk it
  4. mark the pre-registered path

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

    Shell commands in SKILL.md call:

    • 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

Forking Paths loads about 2.4k tokens when it runs. Until then it costs about 125 tokens; SKILL.md has 985 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~125
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k

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 985 words (~2,356 tokens).

“Before anything is estimated, work out how large the space of defensible analyses is. That number is the multiplicity that honest inference has to pay for, and it is almost always larger than researchers expect.”

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

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/73-brycewang-p-hacking-skills/skills/02-forking-paths of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Forking Paths 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.

Forking Paths compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Forking Paths this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~2.4kAutomated 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 Forking Paths

What does Forking Paths do?

Map the garden of forking paths for a concrete econometric design and turn it into a machine-readable design card that the specification-search engine can walk. Forking Paths is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Map the garden of forking paths for a concrete econometric design and turn it into a machine-readable design card that the specification-search engine can walk.

When should I use Forking Paths?

Forking Paths fits situations like: asked how many defensible analyses a dataset; research design admits; enumerate researcher degrees of freedom for a specific DiD; staggered-adoption.

How do I install Forking Paths in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill forking-paths -a claude-code`. Or copy the skill folder (skills/73-brycewang-p-hacking-skills/skills/02-forking-paths in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/forking-paths in your project. Claude Code loads it when a task matches its description.

How do I install Forking Paths in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill forking-paths -a codex`. Or copy the skill folder (skills/73-brycewang-p-hacking-skills/skills/02-forking-paths in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/forking-paths in your project. Codex loads it when a task matches its description.

Can I use Forking Paths 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 forking-paths -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/forking-paths, .gemini/skills/forking-paths, .github/skills/forking-paths and .opencode/skills/forking-paths in your project.

What does Forking Paths need to run?

Going by SKILL.md and its folder, Forking Paths needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Forking Paths 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 Forking Paths 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 Forking Paths use?

Forking Paths 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 Forking Paths use?

About 2.4k tokens (SKILL.md is roughly 9.4k 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 Forking Paths?

Skills that share tags, products or a category with Forking Paths: 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 Forking Paths?

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.