Proof Point Packager
aaron-he-zhu/aaron-marketing-skills
A skill your agent uses when the user asks to "package our proof points", "build reusable stat cards and case snippets", or "put proof where each pillar makes its claim"; turns…
Agent skill
Aistats Artifact Evaluation
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when packaging AISTATS code, data, proofs, simulation scripts, notebooks, random seeds, and logs as anonymous supplementary evidence or public post-acceptance artifacts, even…
MITAuto-check passed
Install Aistats Artifact Evaluation
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-artifact-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aistats-artifact-evaluation --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-artifact-evaluation .claude/skills/aistats-artifact-evaluation && 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-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AISTATS-Skills/skills/aistats-artifact-evaluation into .claude/skills/aistats-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aistats-artifact-evaluation", 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-artifact-evaluationType 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-artifact-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aistats-artifact-evaluation --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-artifact-evaluation .agents/skills/aistats-artifact-evaluation && 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-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AISTATS-Skills/skills/aistats-artifact-evaluation into .agents/skills/aistats-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aistats-artifact-evaluation", 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-artifact-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aistats-artifact-evaluation --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-artifact-evaluation .cursor/skills/aistats-artifact-evaluation && 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-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AISTATS-Skills/skills/aistats-artifact-evaluation into .cursor/skills/aistats-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aistats-artifact-evaluation", 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-artifact-evaluation--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-artifact-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aistats-artifact-evaluation --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-artifact-evaluation .gemini/skills/aistats-artifact-evaluation && 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-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AISTATS-Skills/skills/aistats-artifact-evaluation into .gemini/skills/aistats-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aistats-artifact-evaluation", 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-artifact-evaluationInstalls 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-artifact-evaluation -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-artifact-evaluation .github/skills/aistats-artifact-evaluation && 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-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AISTATS-Skills/skills/aistats-artifact-evaluation into .github/skills/aistats-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aistats-artifact-evaluation", 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-artifact-evaluation -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-artifact-evaluation --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-artifact-evaluation .opencode/skills/aistats-artifact-evaluation && 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-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AISTATS-Skills/skills/aistats-artifact-evaluation into .opencode/skills/aistats-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aistats-artifact-evaluation", 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-artifact-evaluation- GitHub stars
- 1.2k
- Token cost
- ~943 tokens
- SKILL.md length
- 401 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when packaging AISTATS code, data, proofs, simulation scripts, notebooks, random seeds, and logs as anonymous supplementary evidence or public post-acceptance artifacts, even…
- Packaging AISTATS code
- SKILL.md covers Artifact plan, What AISTATS evidence…, Worked vignette: packaging a… and Calibration anchors, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Simulation scripts
What it does
Aistats Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when packaging AISTATS code, data, proofs, simulation scripts, notebooks, random seeds, and logs as anonymous supplementary evidence or public post-acceptance artifacts, even when there is no separate artifact badge. Covers what statistically minded AISTATS reviewers inspect first and how to make Monte Carlo studies turnkey.
Its SKILL.md is about 940 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: 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
- Packaging AISTATS code
- Simulation scripts
- Logs as anonymous supplementary evidence
- Public post-acceptance artifacts
Example prompts
- “/aistats-artifact-evaluation”
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 Artifact Evaluation loads about 943 tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 401 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). 401 words, ~943 tokens.
Download SKILL.mdSave it as
.claude/skills/aistats-artifact-evaluation/SKILL.md (or your agent's skills folder).- name
- aistats-artifact-evaluation
- description
- Use when packaging AISTATS code, data, proofs, simulation scripts, notebooks, random seeds, and logs as anonymous supplementary evidence or public post-acceptance artifacts, even when there is no separate artifact badge. Covers what statistically minded AISTATS reviewers inspect first and how to make Monte Carlo studies turnkey.
AISTATS Artifact Evaluation
Use this for evidence packaging around AISTATS. The venue centers on artificial intelligence, statistics, and machine learning, so artifacts should make statistical and computational claims inspectable.
Artifact plan
- Decide what evidence reviewers need: proof details, derivations, simulation scripts, benchmark code, datasets, preprocessing, hyperparameter sweeps, random seeds, logs, or qualitative examples.
- Keep decision-critical evidence in the main paper or appendix; optional run files can live in supplementary material.
- Anonymize repository history, paths, notebook metadata, license headers, organization names, cluster paths, grants, and commit authors.
- Include a minimal reproduction map: environment, dependencies, hardware, commands, expected outputs, runtime, seeds, and known nondeterminism.
- For restricted data, give enough provenance and processing detail for credible reproduction without violating data-use terms.
- After acceptance, replace anonymous archives with public, licensed, citable artifacts when feasible.
What AISTATS evidence reviewers open first
| Claim type | First artifact inspected | Common failure caught |
|---|---|---|
| Convergence rate or regret bound | Proof appendix and constants | Condition used in the proof but missing from the theorem statement |
| Monte Carlo simulation | Seeded simulation script | Plots cannot be regenerated because seeds and replication counts are absent |
| Benchmark comparison | Training and evaluation configs | Baseline tuning budget undocumented |
| Bayesian or MCMC method | Sampler diagnostics and chain logs | No convergence statistics or trace evidence anywhere |
Because AISTATS reviewers are often statisticians, they will rerun a small simulation far more readily than they will retrain a deep model, so make synthetic studies turnkey before polishing anything else.
Show full SKILL.md (163 more words)Show less
Worked vignette: packaging a Monte Carlo study
A hypothetical submission proposes a doubly robust treatment-effect estimator with a root-n normality guarantee, validated on synthetic causal data plus two real benchmarks.
- Ship the data-generating process as one parameterized script rather than constants buried in notebooks, so reviewers can vary n, dimension, and confounding strength.
- Record the replication count and the exact seed sequence used for every coverage and bias table; AISTATS-style claims about interval coverage are meaningless without them.
- Emit tables directly from logged results so the PDF numbers and artifact numbers cannot drift apart.
- State explicitly where the simulated regime satisfies the theorem assumptions and where it deliberately violates them, since that mapping is what statistical reviewers grade.
Calibration anchors
- Supplementary inspection at AISTATS is at reviewer discretion; assume only the README and one entry script get opened, and design accordingly.
- Upload size limits and accepted formats vary by cycle; verify against the current OpenReview submission form rather than past years.
Output format
[Artifact role] anonymous supplement / camera-ready release / public archive
[Contents] <code/data/proofs/logs/notebooks>
[Anonymity risks] <paths/metadata/licenses/URLs>
[Reproduction level] turnkey / scripted / descriptive / weak
[Fixes before upload] <ordered list>© 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-artifact-evaluation of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Aistats Artifact Evaluation 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 Artifact Evaluation this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~943 | Automated safety check: Pass | MIT | |
| Proof Point Packageraaron-he-zhu/aaron-marketing-skills | 2.9k | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| Arize Evaluatorgithub/awesome-copilot | 40k | 1 repos | ~8.1k | Automated safety check: Notes | MIT | |
| Artifacts Buildernexu-io/open-design | 100k | — | ~347 | Automated safety check: Pass | Apache-2.0 | |
| Ccs Artifact Evaluationbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~969 | Automated safety check: Pass | MIT | |
| Micro Artifact Evaluationbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT |
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Questions about Aistats Artifact Evaluation
What does Aistats Artifact Evaluation do?
A skill your agent uses when packaging AISTATS code, data, proofs, simulation scripts, notebooks, random seeds, and logs as anonymous supplementary evidence or public post-acceptance artifacts, even…. Aistats Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when packaging AISTATS code, data, proofs, simulation scripts, notebooks, random seeds, and logs as anonymous supplementary evidence or public post-acceptance artifacts, even when there is no separate artifact badge.
When should I use Aistats Artifact Evaluation?
Aistats Artifact Evaluation fits situations like: packaging AISTATS code; simulation scripts; logs as anonymous supplementary evidence; public post-acceptance artifacts.
How do I install Aistats Artifact Evaluation in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-artifact-evaluation -a claude-code`. Or copy the skill folder (AISTATS-Skills/skills/aistats-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aistats-artifact-evaluation in your project. Claude Code loads it when a task matches its description.
How do I install Aistats Artifact Evaluation in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-artifact-evaluation -a codex`. Or copy the skill folder (AISTATS-Skills/skills/aistats-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aistats-artifact-evaluation in your project. Codex loads it when a task matches its description.
Can I use Aistats Artifact Evaluation 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-artifact-evaluation -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-artifact-evaluation, .gemini/skills/aistats-artifact-evaluation, .github/skills/aistats-artifact-evaluation and .opencode/skills/aistats-artifact-evaluation in your project.
What does Aistats Artifact Evaluation need to run?
SKILL.md names no scripts, command-line tools or credentials: Aistats Artifact Evaluation is instructions for the agent only.
Does Aistats Artifact Evaluation 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 Artifact Evaluation 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 Artifact Evaluation use?
Aistats Artifact Evaluation 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 Artifact Evaluation use?
About 943 tokens (SKILL.md is roughly 3.8k 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 Artifact Evaluation?
Skills that share tags, products or a category with Aistats Artifact Evaluation: Proof Point Packager (aaron-he-zhu/aaron-marketing-skills, 2.9k stars), Arize Evaluator (github/awesome-copilot, 40k stars), Artifacts Builder (nexu-io/open-design, 100k stars) and Ccs Artifact Evaluation (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aistats Artifact Evaluation?
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.