Statistical Method Design
aiming-lab/AutoResearchClaw
Design statistical methods, baselines, diagnostics, variants, and ablations that directly address a formal problem formulation.
Agent skill
Computational Inference
by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills
Computational methods for statistical inference and optimization
Custom licenceAuto-check passed
Install Computational Inference
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill computational-inference -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills computational-inference --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/26-Data-Wise-scholar/skills/implementation/computational-inference .claude/skills/computational-inference && rm -rf skills-srcUse ~/.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/
Install the "computational-inference" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/26-Data-Wise-scholar/skills/implementation/computational-inference into .claude/skills/computational-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "computational-inference", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/26-Data-Wise-scholar/skills/implementation/computational-inferenceType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill computational-inference -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills computational-inference --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/26-Data-Wise-scholar/skills/implementation/computational-inference .agents/skills/computational-inference && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "computational-inference" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/26-Data-Wise-scholar/skills/implementation/computational-inference into .agents/skills/computational-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "computational-inference", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill computational-inference -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills computational-inference --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/26-Data-Wise-scholar/skills/implementation/computational-inference .cursor/skills/computational-inference && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "computational-inference" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/26-Data-Wise-scholar/skills/implementation/computational-inference into .cursor/skills/computational-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "computational-inference", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git --path skills/26-Data-Wise-scholar/skills/implementation/computational-inference--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill computational-inference -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills computational-inference --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/26-Data-Wise-scholar/skills/implementation/computational-inference .gemini/skills/computational-inference && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "computational-inference" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/26-Data-Wise-scholar/skills/implementation/computational-inference into .gemini/skills/computational-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "computational-inference", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills computational-inferenceInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill computational-inference -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/26-Data-Wise-scholar/skills/implementation/computational-inference .github/skills/computational-inference && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "computational-inference" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/26-Data-Wise-scholar/skills/implementation/computational-inference into .github/skills/computational-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "computational-inference", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill computational-inference -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills computational-inference --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/26-Data-Wise-scholar/skills/implementation/computational-inference .opencode/skills/computational-inference && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "computational-inference" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/26-Data-Wise-scholar/skills/implementation/computational-inference into .opencode/skills/computational-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "computational-inference", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
computational-inference- GitHub stars
- 4.5k
- Token cost
- ~3.8k tokens
- SKILL.md length
- 545 words
- Files
- 1
- Skills in repo
- 364
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Computational methods for statistical inference and optimization
- Works in 2 steps: Initialize $\theta^{(0)}$ → For $t = 1, \ldots, T$
- SKILL.md covers Monte Carlo Methods, Importance Sampling, MCMC Methods and Hamiltonian Monte Carlo, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Computational Inference is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Computational methods for statistical inference and optimization
Its SKILL.md is about 3.8k 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…
Example prompts
- “/computational-inference”
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- Initialize $\theta^{(0)}$
- For $t = 1, \ldots, T$
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 r).
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
Computational Inference loads about 3.8k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 545 words of instructions outside code blocks.
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 545 words (~3,800 tokens).
“Advanced computational methods for statistical inference in complex models”
- name
- computational-inference
Files
Just SKILL.md in skills/26-Data-Wise-scholar/skills/implementation/computational-inference of brycewang-stanford/Auto-Empirical-Research-Skills.
Open the folder on GitHubat commit 9fa87d8
Compare with similar skills
Computational Inference 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Computational Inference this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~3.8k | Automated safety check: Pass | Custom licence | |
| Statistical Method Designaiming-lab/AutoResearchClaw | 15k | — | ~330 | Automated safety check: Pass | MIT | |
| Quant Statistical MethodsHKUDS/Vibe-Trading | 35k | — | ~4k | Automated safety check: Pass | MIT | |
| Ito Inferenceaffaan-m/ECC | 275k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Statistical PowerK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~4.4k | Automated safety check: Notes | MIT | |
| Ito Computeaffaan-m/ECC | 275k | 1 repos | ~1.7k | Automated safety check: Pass | MIT |
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Questions about Computational Inference
What does Computational Inference do?
Computational methods for statistical inference and optimization. Computational Inference is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
How do I install Computational Inference in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill computational-inference -a claude-code`. Or copy the skill folder (skills/26-Data-Wise-scholar/skills/implementation/computational-inference in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/computational-inference in your project. Claude Code loads it when a task matches its description.
How do I install Computational Inference in Codex?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill computational-inference -a codex`. Or copy the skill folder (skills/26-Data-Wise-scholar/skills/implementation/computational-inference in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/computational-inference in your project. Codex loads it when a task matches its description.
Can I use Computational Inference 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 computational-inference -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/computational-inference, .gemini/skills/computational-inference, .github/skills/computational-inference and .opencode/skills/computational-inference in your project.
What does Computational Inference need to run?
SKILL.md names no scripts, command-line tools or credentials: Computational Inference is instructions for the agent only.
Does Computational Inference 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 Computational Inference 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 Computational Inference use?
Computational Inference 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 Computational Inference use?
About 3.8k tokens (SKILL.md is roughly 15k 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 Computational Inference?
Skills that share tags, products or a category with Computational Inference: Statistical Method Design (aiming-lab/AutoResearchClaw, 15k stars), Quant Statistical Methods (HKUDS/Vibe-Trading, 35k stars), Ito Inference (affaan-m/ECC, 275k stars) and Statistical Power (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Computational Inference?
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.