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A skill your agent uses when designing or auditing AISTATS experiments, simulations, baselines, statistical tests, uncertainty estimates, ablations, random seeds, hyperparameters, compute, dataset…
Install Aistats Experiments
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-experiments -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aistats-experiments --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/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/AISTATS-Skills/skills/aistats-experiments .claude/skills/aistats-experiments && 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 "aistats-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AISTATS-Skills/skills/aistats-experiments into .claude/skills/aistats-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aistats-experiments", 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/Awesome-Journal-Skills/tree/main/AISTATS-Skills/skills/aistats-experimentsType 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/Awesome-Journal-Skills --skill aistats-experiments -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aistats-experiments --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/AISTATS-Skills/skills/aistats-experiments .agents/skills/aistats-experiments && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aistats-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AISTATS-Skills/skills/aistats-experiments into .agents/skills/aistats-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aistats-experiments", 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/Awesome-Journal-Skills --skill aistats-experiments -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aistats-experiments --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/AISTATS-Skills/skills/aistats-experiments .cursor/skills/aistats-experiments && 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 "aistats-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AISTATS-Skills/skills/aistats-experiments into .cursor/skills/aistats-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aistats-experiments", 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/Awesome-Journal-Skills.git --path AISTATS-Skills/skills/aistats-experiments--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/Awesome-Journal-Skills --skill aistats-experiments -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aistats-experiments --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/AISTATS-Skills/skills/aistats-experiments .gemini/skills/aistats-experiments && 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 "aistats-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AISTATS-Skills/skills/aistats-experiments into .gemini/skills/aistats-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aistats-experiments", 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/Awesome-Journal-Skills aistats-experimentsInstalls 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/Awesome-Journal-Skills --skill aistats-experiments -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/AISTATS-Skills/skills/aistats-experiments .github/skills/aistats-experiments && 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 "aistats-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AISTATS-Skills/skills/aistats-experiments into .github/skills/aistats-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aistats-experiments", 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/Awesome-Journal-Skills --skill aistats-experiments -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/Awesome-Journal-Skills aistats-experiments --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/AISTATS-Skills/skills/aistats-experiments .opencode/skills/aistats-experiments && 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 "aistats-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AISTATS-Skills/skills/aistats-experiments into .opencode/skills/aistats-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aistats-experiments", 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
aistats-experiments- GitHub stars
- 1.2k
- Token cost
- ~880 tokens
- SKILL.md length
- 367 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when designing or auditing AISTATS experiments, simulations, baselines, statistical tests, uncertainty estimates, ablations, random seeds, hyperparameters, compute, dataset…
- Auditing AISTATS experiments
- SKILL.md covers Experiment audit, What experiments are for at…, Theory-validation design table and Vignette: a kernel conditional…, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Statistical tests
What it does
Aistats Experiments is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing or auditing AISTATS experiments, simulations, baselines, statistical tests, uncertainty estimates, ablations, random seeds, hyperparameters, compute, dataset handling, and claim-to-evidence fit, with emphasis on experiments that validate theorems rather than chase leaderboards.
Its SKILL.md is about 880 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 Data & Analytics, covering Statistics. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.
When your agent uses it
- Auditing AISTATS experiments
- Statistical tests
- Uncertainty estimates
- Hyperparameters
Example prompts
- “/aistats-experiments”
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. 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
Aistats Experiments loads about 880 tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 367 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
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 367 words, ~880 tokens.
Download SKILL.mdSave it as
.claude/skills/aistats-experiments/SKILL.md (or your agent's skills folder).- name
- aistats-experiments
- description
- Use when designing or auditing AISTATS experiments, simulations, baselines, statistical tests, uncertainty estimates, ablations, random seeds, hyperparameters, compute, dataset handling, and claim-to-evidence fit, with emphasis on experiments that validate theorems rather than chase leaderboards.
AISTATS Experiments
Use this before submission when the empirical or simulation story is not yet locked.
Experiment audit
- Map each empirical claim to a table, figure, simulation, ablation, or robustness check.
- Include baselines that represent both ML practice and relevant statistical methods.
- Separate synthetic simulations that validate assumptions from real-data experiments that show practical relevance.
- Report uncertainty for stochastic results: repeated runs, standard errors, confidence intervals, paired tests, or bootstrap intervals when appropriate.
- Report dataset splits, preprocessing, metrics, hyperparameter search ranges, final chosen settings, selection criteria, random seeds, hardware, software versions, and runtime.
- Add ablations for the mechanism, not just cosmetic variants.
- Audit for leakage, selection bias, multiple-comparison issues, and mismatch between theoretical assumptions and empirical setup.
What experiments are for at this venue
- AISTATS experiments exist to validate theory, not to win leaderboards. One focused simulation confirming a predicted rate outweighs five extra benchmark datasets.
- The strongest design triad: a synthetic study where assumptions hold exactly, a study where they are deliberately violated, and a real-data study showing practical behavior.
- Reviewers, frequently statisticians, check whether the empirical regime — sample size, dimension, noise level — matches the asymptotic regime of the theorems. A bound proven as n grows but tested only at n = 500 invites the question of relevance.
Show full SKILL.md (159 more words)Show less
Theory-validation design table
| Theoretical claim | Matching experiment | Reject pattern avoided |
|---|---|---|
| Convergence rate in n | Log-log error versus n with fitted slope | "Rates asserted but never plotted" |
| Confidence-interval coverage | Empirical coverage across many replications | "Nominal 95 percent never verified" |
| Regret bound | Cumulative regret versus horizon, with the bound curve overlaid | "Bound and trajectory never compared" |
| Robustness to misspecification | Violation-severity sweep | "Guarantees hold under assumptions the experiments quietly break" |
Vignette: a kernel conditional independence test
Suppose the paper proves finite-sample type-I error control under a boundedness assumption. The matching plan: simulate under the null at several sample sizes to verify size, sweep dependence strength for power curves, then inject heavy-tailed noise that breaks boundedness to map degradation — every panel tied to a numbered theorem or remark.
Statistical reporting floor
- Replication counts and seeds for every stochastic figure; captions must say whether bars are standard errors, confidence intervals, or quantiles.
- Report the compute actually consumed rather than vague feasibility language.
Output format
[Experiment readiness] strong / adequate / weak
[Claim -> evidence map] <claim: table/figure/simulation>
[Missing statistical evidence] <uncertainty/test/seed/baseline>
[Reproducibility gaps] <hyperparameters/compute/data/code>
[Decision-critical next run] <one experiment or simulation>© brycewang-stanford, 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 AISTATS-Skills/skills/aistats-experiments of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Aistats Experiments 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 |
|---|---|---|---|---|---|---|
| Aistats Experiments this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~880 | Automated safety check: Pass | MIT | |
| Sandbox Benchvercel/next.js | 143k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Statistical Analysisspacering-net/codeg | 3.9k | 3 repos | ~5k | Automated safety check: Pass | MIT | |
| StatsmodelszLanqing/codex-claude-academic-skills | 4.7k | 15 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| AI Daily DigestvigorX777/ai-daily-digest | 1.6k | — | ~1.3k | Automated safety check: Pass | None | |
| Statistical Powerspacering-net/codeg | 3.9k | 1 repos | ~3.6k | Automated safety check: Notes | MIT |
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Categories
Questions about Aistats Experiments
What does Aistats Experiments do?
A skill your agent uses when designing or auditing AISTATS experiments, simulations, baselines, statistical tests, uncertainty estimates, ablations, random seeds, hyperparameters, compute, dataset…. Aistats Experiments is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing or auditing AISTATS experiments, simulations, baselines, statistical tests, uncertainty estimates, ablations, random seeds, hyperparameters, compute, dataset handling, and claim-to-evidence fit, with emphasis on experiments that validate theorems rather than chase leaderboards.
When should I use Aistats Experiments?
Aistats Experiments fits situations like: auditing AISTATS experiments; statistical tests; uncertainty estimates; hyperparameters.
How do I install Aistats Experiments in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-experiments -a claude-code`. Or copy the skill folder (AISTATS-Skills/skills/aistats-experiments in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aistats-experiments in your project. Claude Code loads it when a task matches its description.
How do I install Aistats Experiments in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-experiments -a codex`. Or copy the skill folder (AISTATS-Skills/skills/aistats-experiments in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aistats-experiments in your project. Codex loads it when a task matches its description.
Can I use Aistats Experiments 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/Awesome-Journal-Skills --skill aistats-experiments -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aistats-experiments, .gemini/skills/aistats-experiments, .github/skills/aistats-experiments and .opencode/skills/aistats-experiments in your project.
What does Aistats Experiments need to run?
SKILL.md names no scripts, command-line tools or credentials: Aistats Experiments is instructions for the agent only.
Does Aistats Experiments 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 Aistats Experiments 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 Aistats Experiments use?
Aistats Experiments 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 Aistats Experiments use?
About 880 tokens (SKILL.md is roughly 3.5k 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 Aistats Experiments?
Skills that share tags, products or a category with Aistats Experiments: Sandbox Bench (vercel/next.js, 143k stars), Statistical Analysis (spacering-net/codeg, 3.9k stars), Statsmodels (zLanqing/codex-claude-academic-skills, 4.7k stars) and AI Daily Digest (vigorX777/ai-daily-digest, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aistats Experiments?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.