A skill your agent uses when auditing an ACM RecSys submission before the deadline — routing between the Main, Reproducibility, Industry and Resource tracks, the ACM two-column content-page budgets…

MITAuto-check passedResearch & Science

Install Recsys Submission

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill recsys-submission -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills recsys-submission --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/RecSys-Skills/skills/recsys-submission .claude/skills/recsys-submission && 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
recsys-submission
GitHub stars
1.2k
Token cost
~1.5k tokens
SKILL.md length
628 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when auditing an ACM RecSys submission before the deadline — routing between the Main, Reproducibility, Industry and Resource tracks, the ACM two-column content-page budgets…

  • Works in 5 steps: Freeze the split: regenerate every… → Re-run baseline tuning last under an… → Compress into the content-page budget by… → …
  • Auditing an ACM RecSys submission before the deadline — routing between the Main
  • SKILL.md covers Pick the track before the format, Anonymization for recommender…, Blocking risks and Desk-reject and triage table, plus 3 more sections
  • Calls pdftotext

What it does

Recsys Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when auditing an ACM RecSys submission before the deadline — routing between the Main, Reproducibility, Industry and Resource tracks, the ACM two-column content-page budgets with appendices counted inside, double-blind anonymization for recommender papers, the anonymous-repository expectation, and desk-reject triage.

Its SKILL.md is about 1.5k 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

  • Auditing an ACM RecSys submission before the deadline — routing between the Main
  • Reproducibility
  • Industry and Resource tracks
  • The ACM two-column content-page budgets with appendices counted inside

Example prompts

  • “/recsys-submission”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Freeze the split: regenerate every ranking table from the versioned dataset and a temporal
  2. Re-run baseline tuning last under an equal budget; a stale, under-tuned baseline is the
  3. Compress into the content-page budget by demoting per-dataset analyses to the appendix or
  4. Anonymity sweep: PDF metadata, acknowledgements, log provenance, deployed-system name,
  5. Confirm the submission-form abstract matches the PDF abstract and the track is correct.

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

    Shell commands in SKILL.md call:

    • pdftotext

    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

Recsys Submission loads about 1.5k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 628 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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). 628 words, ~1,457 tokens.

Download SKILL.mdSave it as .claude/skills/recsys-submission/SKILL.md (or your agent's skills folder).
name
recsys-submission
description
Use when auditing an ACM RecSys submission before the deadline — routing between the Main, Reproducibility, Industry and Resource tracks, the ACM two-column content-page budgets with appendices counted inside, double-blind anonymization for recommender papers, the anonymous-repository expectation, and desk-reject triage.

RecSys Submission

Run this audit before anything is uploaded to the RecSys submission system. RecSys is a single-community but multi-track venue: the same manuscript can be legal in one track and desk-rejectable in another, so the audit begins with "which track is this PDF for?" and only then checks format. Reopen the current edition's Call for Contributions — every number below is a 2026-cycle anchor (verified 2026-07-09), not a permanent rule.

Pick the track before the format

For 2026 RecSys reorganized its lineup: it dropped the Late-Breaking Results (LBR) poster track and added Research & Practice (R&P) Notes. Route the contribution first.

Track2026 budgetWhat belongs here
Main - long paper8 content pagesA rounded recommendation contribution with offline (and ideally online) evidence
Main - short paper4 content pagesOne focused, complete finding
Main - Past, Present & Future4 content pagesReflective/forward-looking position on a recommendation topic
Reproducibilitysee current CFPRepeating, refuting, or re-scoping prior results; datasets/frameworks for future reproduction
Industrysee current CFPDeployed systems, production constraints, live A/B evidence
Resource / Datasetsee current CFPA community dataset or software resource with build methodology
R&P Notes (posters)see current CFPShort findings/experiences; replaces LBR for 2026

References are excluded from the page count; appendices count inside it. Use the ACM two-column template unmodified — no margin, font, or spacing surgery.

Anonymization for recommender papers specifically

Generic double-blind advice misses the leaks recommender papers actually carry:

  • Proprietary logs and platform. "Interaction logs from our video platform in region X" can name the company. Keep the statistics, genericize the source.
  • Deployed system names. If the ranker already runs in production under a public name, the name de-anonymizes; rename for review or argue from the current policy on preprints.
  • The anonymous repository. RecSys expects a code/data link inside the paper rather than a supplement upload — mirror it to an anonymized host and strip the owner, commit authors, and cluster paths from history.
  • Self-citations in third person; acknowledgements and funding removed; PDF metadata stripped.

Blocking risks

  • Wrong track for the contribution (a deployed-system paper squeezed into a Main long paper, or a reproduction study submitted as a novel-method paper).
  • Over budget once appendices are counted inside the limit.
  • Identity leak via logs, platform, deployed system name, or repository owner.
  • Untuned baselines or a random split on sequential data — not a format desk reject, but the fastest route to a low score (see recsys-experiments).
  • Parallel submission of the same work to another venue.
Show full SKILL.md (221 more words)Show less

Desk-reject and triage table

TriggerSeverity at RecSysRepair window
Over budget (appendix counted in)Desk rejectNone after the deadline
Template tamperingDesk reject or chair flagNone
Identity leak in PDF, logs, or repositoryDesk rejectNone
Wrong track's submission formDesk reject or forced moveUsually none
Parallel/dual submissionDesk reject at any timeNone
Baselines untuned; random split on session dataReview-stage damageOnly before the deadline

Final-week sequence for an offline-evaluation paper

  1. Freeze the split: regenerate every ranking table from the versioned dataset and a temporal split so the PDF and the anonymous repository agree.
  2. Re-run baseline tuning last under an equal budget; a stale, under-tuned baseline is the classic reviewer catch when the numbers move.
  3. Compress into the content-page budget by demoting per-dataset analyses to the appendix or repository, never by shrinking floats.
  4. Anonymity sweep: PDF metadata, acknowledgements, log provenance, deployed-system name, repository owner.
  5. Confirm the submission-form abstract matches the PDF abstract and the track is correct.
bash
# Pre-upload checks that catch the silent killers
pdfinfo paper.pdf | grep -iE "author|creator"                 # metadata identity leak
grep -inE "acknowledg|our (platform|service|company)" *.tex   # textual / platform leaks
pdftotext paper.pdf - | grep -icE "tuned|grid search|equal budget"  # baseline tuning stated?
pdftotext paper.pdf - | grep -icE "temporal split|leave-one-last"   # leakage-aware split?

Format anchors

  • RecSys uses the ACM two-column proceedings template; dense ranking tables and multi-panel offline/online figures overflow columns fast, so compress early rather than on deadline night.
  • The page counts above describe the 2026 cycle; treat every number as provisional and recheck the current Call for Contributions before relying on it.

Output format

text
[RecSys readiness] Ready / Needs fixes / Wrong track / Not ready
[Track] main-long / main-short / past-present-future / reproducibility / industry / resource / R&P-note
[Budget check] <pages used>/<budget>, appendix-inside-budget confirmed yes-no
[Anonymity risks] <logs / platform / deployed name / repository owner / metadata>
[Evidence risk] <baseline tuning / split leakage / offline-only claim>
[Fix order] <ordered blocking fixes>

© 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 RecSys-Skills/skills/recsys-submission of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Recsys Submission 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.

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Recsys Submission this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.5kAutomated safety check: PassMIT
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CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw6171 repos~1.8kAutomated safety check: PassNone
Compute Environment Setupaipoch/open-science5.5k—~2.6kAutomated safety check: PassApache-2.0
Figure Styleaipoch/open-science5.5k—~5.1kAutomated safety check: PassApache-2.0
Add Bactopia Toolbactopia/bactopia522—~4.1kAutomated safety check: PassMIT

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Questions about Recsys Submission

What does Recsys Submission do?

A skill your agent uses when auditing an ACM RecSys submission before the deadline — routing between the Main, Reproducibility, Industry and Resource tracks, the ACM two-column content-page budgets…. Recsys Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when auditing an ACM RecSys submission before the deadline — routing between the Main, Reproducibility, Industry and Resource tracks, the ACM two-column content-page budgets with appendices counted inside, double-blind anonymization for recommender papers, the anonymous-repository expectation, and desk-reject triage.

When should I use Recsys Submission?

Recsys Submission fits situations like: auditing an ACM RecSys submission before the deadline — routing between the Main; reproducibility; industry and Resource tracks; the ACM two-column content-page budgets with appendices counted inside.

How do I install Recsys Submission in Claude Code?

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

How do I install Recsys Submission in Codex?

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

Can I use Recsys Submission 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 recsys-submission -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/recsys-submission, .gemini/skills/recsys-submission, .github/skills/recsys-submission and .opencode/skills/recsys-submission in your project.

What does Recsys Submission need to run?

Going by SKILL.md and its folder, Recsys Submission needs the command-line tools its instructions call (pdftotext).

Does Recsys Submission 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 Recsys Submission 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 Recsys Submission use?

Recsys Submission 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 Recsys Submission use?

About 1.5k tokens (SKILL.md is roughly 5.8k 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 Recsys Submission?

Skills that share tags, products or a category with Recsys Submission: 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 Recsys Submission?

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.