Model how a specification universe is actually walked, rather than assuming it is enumerated.

Custom licenceAuto-check passed

Install Search Procedures

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills search-procedures --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/09-search-procedures .claude/skills/search-procedures && 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
search-procedures
GitHub stars
4.6k
Token cost
~3k tokens
SKILL.md length
1,411 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Model how a specification universe is actually walked, rather than assuming it is enumerated.

  • Asked what a realistic p-hacking session looks like
  • SKILL.md covers Why the procedure matters, The procedures, Running and The stopwatch: phack race, plus 4 more sections
  • Calls python
  • How likely a given way of searching is to manufacture significance on a specific design

What it does

Search Procedures is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Model how a specification universe is actually walked, rather than assuming it is enumerated. Implements the search procedures a p-hacker or a pressured agent uses (first-significant stopping, random trial within a budget, greedy coordinate descent from the pre-registered analysis, random hill-climbing, and the two-stage split-sample walk with an optional continuation rule, after Adda, Decker and Ottaviani 2020), replays each on null data to measure its false-positive rate and the inflation of what it reports…

Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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 what a realistic p-hacking session looks like
  • How likely a given way of searching is to manufacture significance on a specific design
  • How to calibrate a result that came from a sequential rather than exhaustive search
  • Simulate an agents search behaviour on known-null data

Example prompts

  • “/search-procedures”

Requirements

  • Python 3

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

Search Procedures loads about 3k tokens when it runs. Until then it costs about 224 tokens; SKILL.md has 1,411 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~224
When it runs · the whole SKILL.md, loaded when a task matches
~3k

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 1,411 words (~3,044 tokens).

“Exhaustive enumeration is what a multiverse analysis does. It is not what a p-hacker does, and it is not what an agent under significance pressure does. They walk sequentially, with a stopping rule, along a path shaped by which knobs…”

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

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/73-brycewang-p-hacking-skills/skills/09-search-procedures of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Search Procedures 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.

Search Procedures compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Search Procedures this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~3kAutomated safety check: PassCustom licence
Agent Specificationruvnet/ruflo74k2 repos~1.8kAutomated safety check: PassMIT
Canvas Procedural Animationcalesthio/OpenMontage66k—~323Automated safety check: PassMIT
Specificity Managementthedaviddias/Front-End-Checklist74k—~477Automated safety check: PassMIT
Create Specificationgithub/awesome-copilot40k1 repos~1.4kAutomated safety check: PassMIT
Update Specificationgithub/awesome-copilot40k1 repos~1.4kAutomated safety check: PassMIT

Similar skills

  • Agent skill for specification - invoke with $agent-specification

    74k GitHub starsUsed in 2 repos~1.8k tokens
    Product & Project ManagementAuto-check passed
  • Canvas Procedural Animation

    calesthio/OpenMontage

    Use p5.js/canvas for local procedural character effects: particles, weather, squash/stretch, walk cycles, and environmental motion.

    66k GitHub stars~323 tokensUpdated 6 days ago
    Media & CreativeAuto-check passed
  • Specificity Management

    thedaviddias/Front-End-Checklist

    A skill your agent uses when reviewing stylesheets, component styles, and responsive behavior related to Keep CSS specificity low and flat.

    74k GitHub stars~477 tokensUpdated 4 days ago
    Frontend & DesignAuto-check passed
  • Create Specification

    github/awesome-copilot

    Official

    Create a new specification file for the solution, optimized for Generative AI consumption.

    40k GitHub starsUsed in 1 repo~1.4k tokens
    Auto-check passed
  • Update Specification

    github/awesome-copilot

    Official

    Update an existing specification file for the solution, optimized for Generative AI consumption based on new requirements or updates to any existing code.

    40k GitHub starsUsed in 1 repo~1.4k tokens
    Auto-check passed
  • A skill your agent uses when authoring or repairing a coordinate-explicit JSON specification for an editable PPTX deck.

    40k GitHub stars~489 tokensUpdated 5 days ago
    Documents & OfficeAuto-check passed

More from brycewang-stanford/Auto-Empirical-Research-Skills

All 383 skills in this repo
  • Aer Consistency

    brycewang-stanford/Auto-Empirical-Research-Skills

    A skill your agent uses when auditing a finished or near-finished AER, AER:Insights, or AEJ manuscript for internal consistency: headline numbers across abstract, introduction, results, and tables…

    4.6k GitHub starsUsed in 1 repo~2.6k tokens
    Auto-check passed
  • Latex Paper En

    brycewang-stanford/Auto-Empirical-Research-Skills

    English LaTeX academic paper assistant for existing .tex projects.

    4.6k GitHub starsUsed in 1 repo~2.2k tokens
    Auto-check passed
  • Bayesian Workflow

    brycewang-stanford/Auto-Empirical-Research-Skills

    Opinionated Bayesian modeling workflow with PyMC and ArviZ. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

    4.6k GitHub stars~3.5k tokensUpdated 4 days ago
    Auto-check passed
  • Daily Paper Generator

    brycewang-stanford/Auto-Empirical-Research-Skills

    A skill your agent uses when the user asks to "generate daily paper", "search arXiv for EEG papers", "find EEG decoding papers", "review brain-computer interface papers", or wants to create paper…

    4.6k GitHub stars~2.2k tokensUpdated 4 days ago
    Auto-check passed
  • Five Questions

    brycewang-stanford/Auto-Empirical-Research-Skills

    Deeply analyze any empirical economics PDF using the five-question framework (五问框架): research question, identification strategy, core estimand, robustness logic, and scholarly contribution.

    4.6k GitHub stars~1.7k tokensUpdated 4 days ago
    Auto-check: notes
  • Kaggle Research

    brycewang-stanford/Auto-Empirical-Research-Skills

    A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…

    4.6k GitHub stars~868 tokensUpdated 4 days ago
    Auto-check passed

Questions about Search Procedures

What does Search Procedures do?

Model how a specification universe is actually walked, rather than assuming it is enumerated. Search Procedures is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Model how a specification universe is actually walked, rather than assuming it is enumerated.

When should I use Search Procedures?

Search Procedures fits situations like: asked what a realistic p-hacking session looks like; how likely a given way of searching is to manufacture significance on a specific design; how to calibrate a result that came from a sequential rather than exhaustive search; simulate an agents search behaviour on known-null data.

How do I install Search Procedures in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill search-procedures -a claude-code`. Or copy the skill folder (skills/73-brycewang-p-hacking-skills/skills/09-search-procedures in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/search-procedures in your project. Claude Code loads it when a task matches its description.

How do I install Search Procedures in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill search-procedures -a codex`. Or copy the skill folder (skills/73-brycewang-p-hacking-skills/skills/09-search-procedures in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/search-procedures in your project. Codex loads it when a task matches its description.

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

What does Search Procedures need to run?

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

Does Search Procedures 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 Search Procedures 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 Search Procedures use?

Search Procedures 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 Search Procedures use?

About 3k tokens (SKILL.md is roughly 12k 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 Search Procedures?

Skills that share tags, products or a category with Search Procedures: Agent Specification (ruvnet/ruflo, 74k stars), Canvas Procedural Animation (calesthio/OpenMontage, 66k stars), Specificity Management (thedaviddias/Front-End-Checklist, 74k stars) and Create Specification (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Search Procedures?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 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.