Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
Agent skill
Aistats Reproducibility
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when strengthening AISTATS reproducibility evidence, including the official reproducibility checklist, statistical assumptions, proofs, datasets, hyperparameters, random…
Install Aistats Reproducibility
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aistats-reproducibility --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-reproducibility .claude/skills/aistats-reproducibility && 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-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AISTATS-Skills/skills/aistats-reproducibility into .claude/skills/aistats-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aistats-reproducibility", 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-reproducibilityType 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-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aistats-reproducibility --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-reproducibility .agents/skills/aistats-reproducibility && 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-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AISTATS-Skills/skills/aistats-reproducibility into .agents/skills/aistats-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aistats-reproducibility", 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-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aistats-reproducibility --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-reproducibility .cursor/skills/aistats-reproducibility && 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-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AISTATS-Skills/skills/aistats-reproducibility into .cursor/skills/aistats-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aistats-reproducibility", 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-reproducibility--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-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aistats-reproducibility --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-reproducibility .gemini/skills/aistats-reproducibility && 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-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AISTATS-Skills/skills/aistats-reproducibility into .gemini/skills/aistats-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aistats-reproducibility", 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-reproducibilityInstalls 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-reproducibility -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-reproducibility .github/skills/aistats-reproducibility && 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-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AISTATS-Skills/skills/aistats-reproducibility into .github/skills/aistats-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aistats-reproducibility", 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-reproducibility -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-reproducibility --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-reproducibility .opencode/skills/aistats-reproducibility && 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-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AISTATS-Skills/skills/aistats-reproducibility into .opencode/skills/aistats-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aistats-reproducibility", 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-reproducibility- GitHub stars
- 1.2k
- Token cost
- ~880 tokens
- SKILL.md length
- 366 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when strengthening AISTATS reproducibility evidence, including the official reproducibility checklist, statistical assumptions, proofs, datasets, hyperparameters, random…
- Strengthening AISTATS reproducibility evidence
- SKILL.md covers Evidence map, Checklist-to-claim audit table, Vignette: a… and Degrees of reproducibility, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Including the official reproducibility checklist
What it does
Aistats Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when strengthening AISTATS reproducibility evidence, including the official reproducibility checklist, statistical assumptions, proofs, datasets, hyperparameters, random seeds, compute, uncertainty estimates, baselines, code/data release statements, and checklist-to-claim consistency audits.
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 Research & Science, covering Reproducible research. 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
- Strengthening AISTATS reproducibility evidence
- Including the official reproducibility checklist
- Statistical assumptions
- Hyperparameters
Example prompts
- “/aistats-reproducibility”
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 Reproducibility loads about 880 tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 366 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). 366 words, ~880 tokens.
Download SKILL.mdSave it as
.claude/skills/aistats-reproducibility/SKILL.md (or your agent's skills folder).- name
- aistats-reproducibility
- description
- Use when strengthening AISTATS reproducibility evidence, including the official reproducibility checklist, statistical assumptions, proofs, datasets, hyperparameters, random seeds, compute, uncertainty estimates, baselines, code/data release statements, and checklist-to-claim consistency audits.
AISTATS Reproducibility
Use this before submission and again before camera-ready. Reopen the current CFP and OpenReview forms to confirm whether a reproducibility checklist is required.
Evidence map
- Map each theorem, algorithmic claim, simulation claim, and empirical claim to a verifiable location in the paper, appendix, supplement, or artifact package.
- For theory, state assumptions, proof dependencies, convergence conditions, constants, and failure modes clearly enough for statistical readers.
- For experiments, report datasets, splits, preprocessing, evaluation metrics, baselines, hyperparameter ranges, final selected settings, seeds, repeated runs, compute, and runtime.
- For small performance differences, add uncertainty estimates: standard errors, confidence intervals, paired tests, bootstrap intervals, or repeated trials as appropriate.
- Explain missing code/data honestly and describe how a reader could reproduce the analysis in principle.
- Keep the checklist consistent with the manuscript; contradictions between checklist and paper are review-risk multipliers.
Checklist-to-claim audit table
| Checklist item | Pure-theory answer | Theory-plus-experiments answer |
|---|---|---|
| Code availability | NA only if there is literally no computation | Anonymous archive, or an honest stated reason |
| Assumptions stated | Every theorem lists its conditions inline | Plus a note on which experiments satisfy them |
| Error bars | NA for deterministic results | Required for every stochastic figure and table |
| Compute resources | NA | Hardware, runtime, and total number of runs |
Marking NA on an item the paper actually triggers is a recognizable AISTATS red flag, because reviewers cross-check checklist answers against the PDF and read contradictions as carelessness about the rest of the paper.
Show full SKILL.md (131 more words)Show less
Vignette: a rates-plus-simulation paper
Consider a submission proving posterior contraction rates for a Bayesian nonparametric model, validated by MCMC simulation. Its reproducibility spine: prior hyperparameters and their selection rule, chain length, burn-in, convergence diagnostics, replication seeds, and a statement of which contraction-theorem conditions the simulated model satisfies — plus one honest sentence about the condition it does not.
Degrees of reproducibility
- Turnkey: one command regenerates each figure from logged seeds.
- Scripted: scripts exist but require documented manual steps or external data access.
- Descriptive: prose detailed enough that a competent reader could rebuild the pipeline.
For AISTATS, simulations should be turnkey because statistician reviewers actually rerun them; large real-data pipelines may stay scripted with deviations documented. Stating the achieved level honestly beats overpromising turnkey behavior that fails on a clean machine.
Output format
[Claim inventory] <claim -> evidence location>
[Checklist status] complete / inconsistent / missing
[Statistical reproducibility gaps] <assumptions/seeds/uncertainty/hyperparameters/compute>
[Paper fixes] <must appear in main PDF>
[Supplement fixes] <appendix or artifact additions>© 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-reproducibility of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Aistats Reproducibility 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 Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~880 | Automated safety check: Pass | MIT | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT | |
| CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw | 617 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Compute Environment Setupaipoch/open-science | 5.5k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Figure Styleaipoch/open-science | 5.5k | — | ~5.1k | Automated safety check: Pass | Apache-2.0 | |
| Add Bactopia Toolbactopia/bactopia | 522 | — | ~4.1k | Automated safety check: Pass | MIT |
Similar skills
CHARLS Paper Reproduction Guide
xjtulyc/MedgeClaw
Guides an agent through reproducing papers built on the CHARLS health and retirement survey, from variable mapping to cognition, depression and isolation scores.
Compute Environment Setup
aipoch/open-science
Prepares setup instructions and a named activation file for a user-managed software environment on an Open-Science SSH or Slurm compute host.
Figure Style
aipoch/open-science
Publication-grade correctness and legibility rules for final-deliverable scientific figures, not exploratory plots.
Add Bactopia Tool
bactopia/bactopia
Scaffold a complete Bactopia Tool across all three tiers -- module, subworkflow, and workflow entry point under workflows/bactopia-tools/.
Modeling Code and Result Contracts
yushui2022/MathModel-Skill
Generates result-evidence contracts, tables and runnable q1 to q3 modeling code scaffolds for a math modeling paper from a model route, a data plan and cleaned data.
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Related
Categories
Questions about Aistats Reproducibility
What does Aistats Reproducibility do?
A skill your agent uses when strengthening AISTATS reproducibility evidence, including the official reproducibility checklist, statistical assumptions, proofs, datasets, hyperparameters, random…. Aistats Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when strengthening AISTATS reproducibility evidence, including the official reproducibility checklist, statistical assumptions, proofs, datasets, hyperparameters, random seeds, compute, uncertainty estimates, baselines, code/data release statements, and checklist-to-claim consistency audits.
When should I use Aistats Reproducibility?
Aistats Reproducibility fits situations like: strengthening AISTATS reproducibility evidence; including the official reproducibility checklist; statistical assumptions; hyperparameters.
How do I install Aistats Reproducibility in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-reproducibility -a claude-code`. Or copy the skill folder (AISTATS-Skills/skills/aistats-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aistats-reproducibility in your project. Claude Code loads it when a task matches its description.
How do I install Aistats Reproducibility in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-reproducibility -a codex`. Or copy the skill folder (AISTATS-Skills/skills/aistats-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aistats-reproducibility in your project. Codex loads it when a task matches its description.
Can I use Aistats Reproducibility 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-reproducibility -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-reproducibility, .gemini/skills/aistats-reproducibility, .github/skills/aistats-reproducibility and .opencode/skills/aistats-reproducibility in your project.
What does Aistats Reproducibility need to run?
SKILL.md names no scripts, command-line tools or credentials: Aistats Reproducibility is instructions for the agent only.
Does Aistats Reproducibility 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 Reproducibility 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 Reproducibility use?
Aistats Reproducibility 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 Reproducibility 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 Reproducibility?
Skills that share tags, products or a category with Aistats Reproducibility: Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Compute Environment Setup (aipoch/open-science, 5.5k stars) and Figure Style (aipoch/open-science, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aistats Reproducibility?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 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.