A skill your agent uses when positioning an AISTATS submission against AI, machine-learning, statistics, and uncertainty literature, including arXiv preprints, workshop versions, concurrent…

MITAuto-check passedResearch & Science

Install Aistats Related Work

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-related-work -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aistats-related-work --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/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/AISTATS-Skills/skills/aistats-related-work .claude/skills/aistats-related-work && 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
aistats-related-work
GitHub stars
1.2k
Token cost
~855 tokens
SKILL.md length
364 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when positioning an AISTATS submission against AI, machine-learning, statistics, and uncertainty literature, including arXiv preprints, workshop versions, concurrent…

  • Positioning an AISTATS submission against AI
  • SKILL.md covers Positioning checks, Two-community coverage table, Positioning vignette and Concurrent-work judgment calls, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Machine-learning

What it does

Aistats Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning an AISTATS submission against AI, machine-learning, statistics, and uncertainty literature, including arXiv preprints, workshop versions, concurrent submissions, prior conference versions, PMLR archival status, and the two-community citation coverage that AISTATS reviewers expect.

Its SKILL.md is about 860 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 Academic paper search, Literature review and Statistics. It works with arXiv. 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

  • Positioning an AISTATS submission against AI
  • Machine-learning
  • Uncertainty literature
  • Including arXiv preprints

Example prompts

  • “/aistats-related-work”

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 Related Work loads about 855 tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 364 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~855

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). 364 words, ~855 tokens.

Download SKILL.mdSave it as .claude/skills/aistats-related-work/SKILL.md (or your agent's skills folder).
name
aistats-related-work
description
Use when positioning an AISTATS submission against AI, machine-learning, statistics, and uncertainty literature, including arXiv preprints, workshop versions, concurrent submissions, prior conference versions, PMLR archival status, and the two-community citation coverage that AISTATS reviewers expect.

Use this to audit novelty and eligibility. Reopen the current CFP for dual-submission, anonymity, and prior-publication rules before advising authors.

Positioning checks

  • Separate statistical novelty from engineering improvement: new estimator, bound, inference procedure, optimization analysis, uncertainty method, or empirical insight.
  • Compare to both ML conference work and statistics literature; AISTATS reviewers often expect both communities to be represented.
  • Treat PMLR, journal, and formal conference proceedings as archival unless current rules say otherwise.
  • Cite arXiv and workshop versions in a way that preserves double-blind review. Do not point reviewers to identity-revealing pages.
  • Explain overlap with any concurrent or prior version, and do not submit duplicate archival work.
  • Use related work to sharpen what is new: assumption weakening, finite-sample behavior, computational efficiency, uncertainty calibration, robustness, or empirical regime.

Two-community coverage table

Literature laneTypical sourcesWhat AISTATS reviewers check
ML conferencesNeurIPS, ICML, ICLR, UAI, COLT, prior AISTATS volumes in PMLRWhether the nearest ML method is compared or explicitly distinguished
Statistics journalsAnnals of Statistics, JMLR, JASA, Biometrika, EJSWhether classical estimators and known rates are acknowledged
Applied statistical fieldsEconometrics, biostatistics, epidemiologyWhether identification and inference assumptions follow standard usage

A bibliography citing only ML venues tells a statistician reviewer that known statistical results may be getting rediscovered — a recognizable AISTATS reject pattern that no amount of benchmark strength repairs.

Show full SKILL.md (141 more words)Show less

Positioning vignette

Imagine the paper proposes a variance-reduced off-policy evaluation estimator with an asymptotic normality result. Its nearest neighbors: a NeurIPS estimator with no inference guarantee, a JASA semiparametric efficiency bound, and a prior AISTATS paper with a slower rate. The novelty sentence should name all three contrasts — inference where the ML line had none, computational tractability where the statistics line stayed abstract, and a sharper rate than the direct predecessor.

Concurrent-work judgment calls

  • Independently concurrent arXiv work: cite neutrally, state the technical difference, and avoid priority claims that reviewers cannot verify.
  • Your own workshop version: typically non-archival and citable, but verify against the current CFP wording and keep the citation phrased so double-blind review survives.
  • When in doubt about archival status of a venue, declare the overlap in the submission form rather than gambling on a chair's interpretation.

Output format

text
[Eligibility] clear / needs declaration / risky
[Closest literatures] <ML/statistics/application>
[Nearest 3 works] <work -> distinction>
[Archival-overlap risk] <none/issues>
[Novelty sentence] <AISTATS-ready contribution contrast>

© 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-related-work of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Aistats Related Work 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.

Aistats Related Work compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Aistats Related Work this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~855Automated safety check: PassMIT
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Systematic Literature Review Builderbytedance/deer-flow84k2 repos~4.3kAutomated safety check: PassMIT
Paper Research on arXivXiaomiMiMo/MiMo-Code14k—~1.5kAutomated safety check: PassMIT
Literature Review AgentAr9av/PaperOrchestra6791 repos~5.2kAutomated safety check: PassCustom licence
Arxiv MCP Serverblazickjp/arxiv-mcp-server3.2k—~353Automated safety check: PassApache-2.0

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Works with

Questions about Aistats Related Work

What does Aistats Related Work do?

A skill your agent uses when positioning an AISTATS submission against AI, machine-learning, statistics, and uncertainty literature, including arXiv preprints, workshop versions, concurrent…. Aistats Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning an AISTATS submission against AI, machine-learning, statistics, and uncertainty literature, including arXiv preprints, workshop versions, concurrent submissions, prior conference versions, PMLR archival status, and the two-community citation coverage that AISTATS reviewers expect.

When should I use Aistats Related Work?

Aistats Related Work fits situations like: positioning an AISTATS submission against AI; machine-learning; uncertainty literature; including arXiv preprints.

How do I install Aistats Related Work in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-related-work -a claude-code`. Or copy the skill folder (AISTATS-Skills/skills/aistats-related-work in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aistats-related-work in your project. Claude Code loads it when a task matches its description.

How do I install Aistats Related Work in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-related-work -a codex`. Or copy the skill folder (AISTATS-Skills/skills/aistats-related-work in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aistats-related-work in your project. Codex loads it when a task matches its description.

Can I use Aistats Related Work 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-related-work -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-related-work, .gemini/skills/aistats-related-work, .github/skills/aistats-related-work and .opencode/skills/aistats-related-work in your project.

What does Aistats Related Work need to run?

SKILL.md names no scripts, command-line tools or credentials: Aistats Related Work is instructions for the agent only.

Does Aistats Related Work 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 Related Work 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 Related Work use?

Aistats Related Work 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 Related Work use?

About 855 tokens (SKILL.md is roughly 3.4k 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 Related Work?

Skills that share tags, products or a category with Aistats Related Work: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Systematic Literature Review Builder (bytedance/deer-flow, 84k stars), Paper Research on arXiv (XiaomiMiMo/MiMo-Code, 14k stars) and Literature Review Agent (Ar9av/PaperOrchestra, 679 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aistats Related Work?

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.