aistats-workflow

aistats-workflow is a skill for Claude Code from brycewang-stanford/Awesome-Journal-Skills. It costs 68 tokens per session (833 once invoked), scanned A, original, MIT.

A project timeline guide for an AISTATS submission, from checking venue fit through review, decision, final paper, presentation, and artifact release. AISTATS is a conference on work linking artificial intelligence, machine learning, and statistics.

In plain words
What is it for?
Use it to sequence experiments, paper writing, abstract and full-paper uploads, supplementary files, author discussion, camera-ready work, registration, and release tasks.
Why use it?
It turns many separate deadlines and review stages into a schedule that can be planned backwards from official OpenReview cutoffs.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the aistats-skills plugin — 12 skills shipped together

Good fit Use it to sequence experiments, paper writing, abstract and full-paper uploads, supplementary files, author discussion, camera-ready work, registration, and release tasks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/brycewang-stanford/awesome-journal-skills/aistats-workflow
About the project

Awesome Journal Skills is a collection of agent skill packs tailored to hundreds of academic journals across fields including economics, social science, medicine, science, and engineering. Researchers use the packs for tasks such as choosing topics, designing empirical strategies, preparing tables and figures, submitting papers, and responding to reviewers. The catalogue entries are the project's journal-specific skills and related plugins.

brycewang-stanford/Awesome-Journal-Skills · 1,259 stars · on GitHub · copaper.ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aistats-workflow
Clone the repo
git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills

Made for: Claude Code.

Or install aistats-skills, the plugin that ships this one along with the rest of its 12 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for aistats-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aistats-workflow/github.svg)](https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aistats-workflow)
Your own site
<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aistats-workflow"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aistats-workflow/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for aistats-workflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aistats-workflow"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aistats-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 833 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00068 $0.00833
Opus 5.5 $0.00027 $0.00333
Sonnet 5.5 $0.00014 $0.00167
Haiku 4.5 $0.00007 $0.00083

Measured 1mo ago against content hash e049bdd1cee5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aistats-workflow scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AISTATS-Skills/skills/aistats-workflow/SKILL.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AISTATS Workflow

Use this as the project-management skill for an AISTATS submission. Replace all dates with the current official timetable and work backwards from OpenReview cutoffs.

AISTATS is a conference, not a journal: it has no standing editor-in-chief and no article-processing charge. The rotating leadership is the per-edition General Chairs and Program Chairs (2026 General Chairs: Emtiyaz Khan and Yingzhen Li; Program Chairs: Arno Solin and Aaditya Ramdas, verified 2026-06-22), and the cost model is registration fees, not APCs — PMLR proceedings are open-access with no author fee. Conference organizers rotate yearly, so re-check the current CFP and organization page rather than carrying a name forward.

Milestones

  • Venue fit: confirm the contribution is genuinely at the AI, ML, and statistics interface.
  • Evidence lock: freeze theorem statements, assumptions, experiments, simulations, baselines, reproducibility checklist, and supplement contents.
  • Abstract deadline: submit real title, abstract, authors, subject areas, and conflicts.
  • Full-paper deadline: upload anonymous PDF and required OpenReview fields.
  • Supplement deadline: upload anonymized appendix/code/data if current cycle allows or requires separate supplementary material.
  • Review release: triage correctness, statistical validity, novelty, clarity, and reproducibility concerns.
  • Discussion period: draft concise anonymous text-only clarifications; avoid forbidden links or unsupported new results.
  • Decision: archive reviews, discussion, meta-review, decision, and submitted versions.
  • Acceptance: prepare PMLR camera-ready files, registration, in-person presentation, and public artifact release.

Backward plan from the paper deadline

Weeks out (heuristic) Theory-plus-experiments milestone
8+ Theorems proved, assumption set frozen
6 Simulations designed against each theorem
4 Real-data runs complete, seeds logged
3 Full draft sitting in AISTATS two-column format
2 Internal mock review by a statistics-minded reader
1 Checklist pass, anonymity sweep, supplement assembly
0 Abstract then full paper on OpenReview; supplement by its own cutoff

Read the full file on GitHub · 77 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 77 lines · 68 tokens per session scan A e049bdd1cee5

Subscribe to this mod's changes

aistats-workflow is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,259 stars, last pushed 19d ago), licensed MIT. It adds 68 tokens to every session and 833 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-15.

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