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Agent skill

Statistical Method Design

by aiming-lab in aiming-lab/AutoResearchClaw

Design statistical methods, baselines, diagnostics, variants, and ablations that directly address a formal problem formulation.

MITAuto-check passed

Install Statistical Method Design

skills CLI
$ npx skills add aiming-lab/AutoResearchClaw --skill statistical-method-design -a claude-code

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

GitHub CLI
$ gh skill install aiming-lab/AutoResearchClaw statistical-method-design --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/aiming-lab/AutoResearchClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/external/agents/stat_research_agent/skills/statistical-method-design .claude/skills/statistical-method-design && 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
statistical-method-design
GitHub stars
15k
Token cost
~330 tokens
SKILL.md length
98 words
Files
1
Skills in repo
34
Repo updated
First seen
Licence
MIT

At a glance

Design statistical methods, baselines, diagnostics, variants, and ablations that directly address a formal problem formulation.

  • SKILL.md covers Overview, Required Method Proposal, Baselines and Ablations and Method-to-Claim Map
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Statistical Method Design is an agent skill from aiming-lab/AutoResearchClaw. Design statistical methods, baselines, diagnostics, variants, and ablations that directly address a formal problem formulation.

Its SKILL.md is about 330 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: Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞. The licence is MIT.

Example prompts

  • “/statistical-method-design”

What it can do on your machine

Read from SKILL.md and the folder at commit be4ba47. 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 yaml).

    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

Statistical Method Design loads about 330 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 98 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
When it runs · the whole SKILL.md, loaded when a task matches
~330

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 aiming-lab/AutoResearchClaw at commit be4ba47, republished under its MIT licence (© aiming-lab). 98 words, ~330 tokens.

Download SKILL.mdSave it as .claude/skills/statistical-method-design/SKILL.md (or your agent's skills folder).
name
statistical-method-design
description
Design statistical methods, baselines, diagnostics, variants, and ablations that directly address a formal problem formulation.
metadata.category
domain
metadata.trigger-keywords
method proposal,estimator,algorithm,baseline,ablation,diagnostic,statistical method
metadata.applicable-stages
3,4,5,6,7,8
metadata.priority
1

Statistical Method Design

Overview

Use this skill after formal problem formulation. The method should be a response to the formal target and assumptions, not a generic collection of techniques.

Required Method Proposal

For each method:

  • Name
  • Problem it solves
  • Formula or algorithm
  • Inputs and outputs
  • Tuning parameters
  • Required assumptions
  • Diagnostics
  • Expected failure modes
  • Computational cost
  • Relation to baselines

Baselines and Ablations

Always define meaningful baselines:

  • Classical or standard method
  • Naive or unadjusted method
  • Oracle or idealized reference when available
  • Robust variant
  • Ablation removing the key design feature

Method-to-Claim Map

Every method must connect to at least one claim:

yaml
method_to_claim_map:
  proposed_method:
    claims: [C1, C2]
    expected_evidence: "lower risk under stress condition"
    theory_target: "consistency under assumptions A1-A3"

© aiming-lab, 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 external/agents/stat_research_agent/skills/statistical-method-design of aiming-lab/AutoResearchClaw.

Open the folder on GitHubat commit be4ba47

Compare with similar skills

Statistical Method Design 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.

Statistical Method Design compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Statistical Method Design this skillaiming-lab/AutoResearchClaw15k—~330Automated safety check: PassMIT
Quant Statistical MethodsHKUDS/Vibe-Trading35k—~4kAutomated safety check: PassMIT
Statistical PowerK-Dense-AI/scientific-agent-skills48k1 repos~4.4kAutomated safety check: NotesMIT
Implementing Network Traffic Baseliningmukul975/Anthropic-Cybersecurity-Skills34k—~652Automated safety check: PassApache-2.0
Manuscript Statistics AuditYuan1z0825/nature-skills46k2 repos~2.1kAutomated safety check: PassApache-2.0
Statistical Analystalirezarezvani/claude-skills28k1 repos~2.5kAutomated safety check: PassMIT

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Questions about Statistical Method Design

What does Statistical Method Design do?

Design statistical methods, baselines, diagnostics, variants, and ablations that directly address a formal problem formulation. Statistical Method Design is an agent skill from aiming-lab/AutoResearchClaw. Design statistical methods, baselines, diagnostics, variants, and ablations that directly address a formal problem formulation.

How do I install Statistical Method Design in Claude Code?

Run `npx skills add aiming-lab/AutoResearchClaw --skill statistical-method-design -a claude-code`. Or copy the skill folder (external/agents/stat_research_agent/skills/statistical-method-design in aiming-lab/AutoResearchClaw) into .claude/skills/statistical-method-design in your project. Claude Code loads it when a task matches its description.

How do I install Statistical Method Design in Codex?

Run `npx skills add aiming-lab/AutoResearchClaw --skill statistical-method-design -a codex`. Or copy the skill folder (external/agents/stat_research_agent/skills/statistical-method-design in aiming-lab/AutoResearchClaw) into .agents/skills/statistical-method-design in your project. Codex loads it when a task matches its description.

Can I use Statistical Method Design 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 aiming-lab/AutoResearchClaw --skill statistical-method-design -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/statistical-method-design, .gemini/skills/statistical-method-design, .github/skills/statistical-method-design and .opencode/skills/statistical-method-design in your project.

What does Statistical Method Design need to run?

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

Does Statistical Method Design 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 Statistical Method Design 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 Statistical Method Design use?

Statistical Method Design 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 Statistical Method Design use?

About 330 tokens (SKILL.md is roughly 1.3k 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 Statistical Method Design?

Skills that share tags, products or a category with Statistical Method Design: Quant Statistical Methods (HKUDS/Vibe-Trading, 35k stars), Statistical Power (K-Dense-AI/scientific-agent-skills, 48k stars), Implementing Network Traffic Baselining (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and Manuscript Statistics Audit (Yuan1z0825/nature-skills, 46k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Statistical Method Design?

aiming-lab (a GitHub organization) maintains it in aiming-lab/AutoResearchClaw, which has 14,587 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on August 19, 2026.

Source: aiming-lab/AutoResearchClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.