ase-submission

ase-submission is a skill for Claude Code from brycewang-stanford/Awesome-Journal-Skills. It costs 74 tokens per session (1,601 once invoked), scanned A, original, MIT.

A submission-readiness checklist for an ASE research paper. ASE is the IEEE/ACM conference on automating software-engineering work, and HotCRP is the website used to submit and review papers.

In plain words
What is it for?
Use it to check an ASE paper against the current research-track rules, including the 10-page body limit plus references, double-anonymous review, Data Availability Statement, and early-rejection process.
Why use it?
It helps catch format, anonymity, page-limit, required-statement, and track-selection problems before upload. These mistakes can cause desk rejection even when the research is sound.

Skill for Claude Code

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

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

Good fit Use it to check an ASE paper against the current research-track rules, including the 10-page body limit plus references, double-anonymous review, Data Availability Statement, and early-rejection process.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/brycewang-stanford/awesome-journal-skills/ase-submission
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 · 1,289 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 ase-submission
Clone the repo
git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills

Made for: Claude Code.

Or install ase-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 ase-submission

README.md
[![agentmods](https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/ase-submission/github.svg)](https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/ase-submission)
Your own site
<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/ase-submission"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/ase-submission/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 ase-submission

Your own site · 80×15
<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/ase-submission"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/ase-submission.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,601 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 $0.00074 $0.01601
Opus 5.5 $0.00030 $0.00640
Sonnet 5.5 $0.00015 $0.00320
Haiku 4.5 $0.00007 $0.00160

Measured 1mo ago against content hash b9c4b92f0d30, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ase-submission 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.

ASE-Skills/skills/ase-submission/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ASE Submission

Run this audit before uploading to ase26.hotcrp.com. ASE research papers are published in the proceedings of the IEEE/ACM International Conference on Automated Software Engineering, indexed in both IEEE Xplore and the ACM Digital Library. Every number below was read from the ASE 2026 research-track call on 2026-07-09 via search renderings of the conf.researchr.org URLs (see resources/official-source-map.md); treat them as a one-cycle snapshot and reopen the live call first.

Calendar and portal

  • Portal: HotCRP at ase26.hotcrp.com. NIER, Tools-and-Datasets, and Journal-First each have their own site/track — do not upload a research paper to the wrong one.
  • ASE 2026 research dates: submission 26 March 2026, notification 25 May 2026 (Munich, Oct 12-16 2026). The exact abstract-registration deadline that precedes the full-paper deadline is 待核实 — confirm it, because a missed abstract registration can forfeit the submission slot.
  • As of 2026-07-09 the ASE 2026 notification has passed; the next submission target is ASE 2027 (host/dates 待核实). Reverify the whole calendar before acting.

Format and page budget

  • Template: for ASE 2026, the ACM Primary Article (Proceedings) Template — \documentclass[sigconf,review,anonymous]{acmart}. Note the ASE nuance: because the conference is dual IEEE/ACM sponsored, the mandated template has varied across editions (an IEEE two-column format in some years, ACM acmart sigconf for 2026). Confirm which the current call requires before you format anything — carrying an old IEEEtran or acmart habit forward is a classic ASE mistake.
  • Page budget: 10 pages for all content — text, figures, tables, and appendices — plus 2 pages for references only. There is no unlimited appendix inside the paper; anything a reviewer must read to judge the work lives inside the 10 pages.
  • Mandatory Data Availability Statement: placed after the Conclusions and inside the 10-page limit. It is not optional and it is not free space — budget for it.
  • Accepted papers are typically allowed one additional content page for revisions; do not pre-spend it in the submission.

Read the full file on GitHub · 110 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 · 110 lines · 74 tokens per session scan A b9c4b92f0d30

Subscribe to this mod's changes

ase-submission is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,289 stars, last pushed 26d ago), licensed MIT. It adds 74 tokens to every session and 1,601 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.

Related

Other skills, from other repositories

research-manager

Use this when starting a new research project or managing a complex, multi-step research workflow.

poemswe/co-researcher · 21 tokens

alterlab-qiime2-amplicon

Runs 16S/ITS amplicon (microbiome) analysis with the QIIME 2 distribution (2026.7; the "amplicon" distribution was renamed "qiime2" in 2026.4) in the correct order: manifest import, cutadapt trim-paired primer removal BEFORE dada2 denoise-paired (trunc-len chosen from the demux quality .qzv), feature-classifier…

AlterLab-IEU/AlterLab-Academic-Skills · 270 tokens

alterlab-pyhealth

Develops, tests, and validates clinical machine learning models with the PyHealth 2.x healthcare AI toolkit. Use when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, length of stay, drug recommendation), medical coding systems (ICD, NDC, ATC, CCS), physiological signals…

AlterLab-IEU/AlterLab-Academic-Skills · 132 tokens

alterlab-citation-verifier

Verifies that every bibliography entry actually exists by cross-checking Crossref, OpenAlex, Semantic Scholar, and arXiv (no API key required) plus doi.org DOI registration, fuzzy-matching title and authors (difflib ratio >= 0.70), flagging retractions recorded by Crossref (including Retraction Watch data) or…

AlterLab-IEU/AlterLab-Academic-Skills · 219 tokens

alterlab-timesfm

Forecasts time series zero-shot with Google's TimesFM foundation models — TimesFM 2.5 (200M, Apache-2.0 weights; ForecastConfig API, XReg covariates) and TimesFM 3.0 (330M, multivariate with native past/future covariates; non-commercial weights) — producing point forecasts and quantile prediction intervals from…

AlterLab-IEU/AlterLab-Academic-Skills · 150 tokens

alterlab-anndata

Build, slice, concatenate, read, and write AnnData annotated data matrices (obs, var, X, layers, obsm, uns) — the scverse data STRUCTURE, not an analysis pipeline. Use when creating or wrangling .h5ad/zarr files, managing cell and gene annotations, concatenating batches, or handling layers/obsm/backed-mode; for the…

AlterLab-IEU/AlterLab-Academic-Skills · 133 tokens