A skill your agent uses when auditing a KDD submission for readiness in either cycle, covering Research vs ADS track declaration, OpenReview profile completeness for all authors, the ACM sigconf…

MITAuto-check passed

Install Kdd Submission

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills kdd-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/KDD-Skills/skills/kdd-submission .claude/skills/kdd-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
kdd-submission
GitHub stars
1.2k
Token cost
~1.8k tokens
SKILL.md length
891 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when auditing a KDD submission for readiness in either cycle, covering Research vs ADS track declaration, OpenReview profile completeness for all authors, the ACM sigconf…

  • Works in 6 steps: Freeze the track and cycle declaration;… → Sweep all co-author profiles against the… → Rebuild the PDF from a clean acmart… → …
  • Auditing a KDD submission for readiness in either cycle
  • SKILL.md covers Track and cycle declaration, OpenReview profile gate, Format audit and Desk-reject and severity table, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Kdd Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when auditing a KDD submission for readiness in either cycle, covering Research vs ADS track declaration, OpenReview profile completeness for all authors, the ACM sigconf 8-content-page budget, double-blind checks, in-paper artifact references, resubmission declarations, and desk-reject triggers specific to ACM SIGKDD.

Its SKILL.md is about 1.8k 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

  • Auditing a KDD submission for readiness in either cycle
  • Covering Research vs ADS track declaration
  • OpenReview profile completeness for all authors
  • The ACM sigconf 8-content-page budget

Example prompts

  • “/kdd-submission”

Workflow steps

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

  1. Freeze the track and cycle declaration; verify the OpenReview group id matches
  2. Sweep all co-author profiles against the completeness list above.
  3. Rebuild the PDF from a clean acmart checkout; confirm 8 content pages and that the
  4. Anonymize the artifact: fresh repo without history, no institutional paths, README
  5. For ADS: point at the exact section and table quantifying post-launch performance —
  6. Register the abstract early in the week; upload the paper with hours, not minutes,

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 (its code samples are latex).

    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

Kdd Submission loads about 1.8k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 891 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
~1.8k

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). 891 words, ~1,795 tokens.

Download SKILL.mdSave it as .claude/skills/kdd-submission/SKILL.md (or your agent's skills folder).
name
kdd-submission
description
Use when auditing a KDD submission for readiness in either cycle, covering Research vs ADS track declaration, OpenReview profile completeness for all authors, the ACM sigconf 8-content-page budget, double-blind checks, in-paper artifact references, resubmission declarations, and desk-reject triggers specific to ACM SIGKDD.

KDD Submission

Run this audit twice: once when the abstract is registered, once before the full-paper deadline. KDD's abstract and paper deadlines are about a week apart in each cycle (2026 Cycle 1: July 24 / July 31, 2025; Cycle 2: February 1 / February 8, 2026, all AoE), and several failure modes below are only fixable in that gap. Reopen the current track CFP first — every number here is a 2026-cycle anchor, not a permanent rule.

Track and cycle declaration

  • One paper, one track: the same work may not go to the Research Track and the Applied Data Science Track simultaneously. If the team is still arguing about track choice at submission week, run kdd-topic-selection before anything else.
  • Confirm which cycle the deadline belongs to. A team planning around "the KDD deadline" without naming the cycle is planning around the wrong date half the time.
  • Resubmissions from a prior cycle's Resubmit decision must be flagged in the form, must carry the previous OpenReview forum id, and must prepend a one-page summary of changes as the first page of the PDF. Omitting the summary page wastes the resubmission advantage.

OpenReview profile gate

KDD 2026 required a complete OpenReview profile for every listed author, not just the submitter: institutional affiliations covering at least the past five years, homepage, DBLP link where prior publications exist, ORCID, advisors, and recent publications. Incomplete co-author profiles are a pre-deadline blocker that no one person can fix alone — chase them at abstract time, not on deadline night.

Format audit

The Research Track submission is 8 content pages, followed by references and an optional appendix, in the double-column ACM format:

latex
% KDD 2026 Research Track recommended setting (verify against the current CFP)
\documentclass[sigconf,anonymous,review]{acmart}
% - sigconf: ACM conference two-column layout
% - anonymous: strips author block for double-blind review
% - review: adds line numbers reviewers cite in their reports
% Do NOT tweak \baselineskip, margins, or font sizes; ACM/TAPS tooling and
% chairs both detect a modified acmart.
  • Content beyond page 8 that is not references or appendix is a desk-level risk; move it or cut it, never squeeze it.
  • Anonymity must survive the appendix and the referenced repository: author names, affiliations, acknowledgements, grant numbers, institutional dataset names, and git history are all leak surfaces.
  • Reference the code/data repository inside the PDF: KDD's rebuttal and discussion phases forbid hyperlinks, so a repository not cited at submission time is invisible to reviewers forever.
  • Complete the generative-AI disclosure in the submission form if any such tool touched the text or the work; ACM's authorship policy also governs who may appear as an author.

Desk-reject and severity table

TriggerTrack affectedSeverityFixable after deadline?
Missing post-launch performance quantificationADSDesk reject per the 2026 CFPNo
Content pages over the budgetBothDesk-levelNo
Identity leak in PDF, appendix, or repoBothDesk-level or chair flagNo
Incomplete co-author OpenReview profileBothSubmission blocked or flaggedOnly before deadline
Undeclared resubmission of a Resubmit paperBothLoses resubmission standingNo
Same paper in Research and ADSBothRejection of bothNo
Repository link absent from PDFBothNot fatal, but unrepairable in rebuttalNo

Final-week sequence

  1. Freeze the track and cycle declaration; verify the OpenReview group id matches (e.g., a Research_Track_Cycle_2 group is not the ADS group).
  2. Sweep all co-author profiles against the completeness list above.
  3. Rebuild the PDF from a clean acmart checkout; confirm 8 content pages and that the appendix starts after the references.
  4. Anonymize the artifact: fresh repo without history, no institutional paths, README free of names; cite it in the paper body.
  5. For ADS: point at the exact section and table quantifying post-launch performance — if a reviewer cannot find it in 30 seconds, neither will the desk check.
  6. Register the abstract early in the week; upload the paper with hours, not minutes, of margin against AoE.
Show full SKILL.md (304 more words)Show less

Vignette: an ADS submission that nearly desk-rejected itself

A payments team submits their deployed risk model to the ADS track. The draft's evaluation section leads with offline AUC across four benchmark datasets — strong work, but the post-launch numbers sit in a single sentence inside the conclusion ("since launch, chargebacks decreased"). Under the 2026 ADS rule this reads as unquantified deployment evidence: no metric definition, no window, no baseline period. The audit fix costs one evening, not one experiment:

  • Promote the production measurement to its own section with a table: metric definition, measurement window, traffic share, before/after or A/B values.
  • Demote two of the four offline benchmarks to the appendix; ADS reviewers weight the online table far above the third and fourth offline dataset.
  • Add one paragraph on what the offline metrics failed to predict about online behavior — the lessons-learned register the track exists for.

The general lesson: at submission time, audit findability of the track's gate evidence, not just its existence.

Cross-cycle edge cases

  • A paper rejected (not Resubmitted) in Cycle 1 and substantially rewritten may return in Cycle 2 as a fresh submission — but if the overlap with the old forum is obvious, silence is riskier than a voluntary note; check the current CFP's wording on prior-cycle papers before deciding.
  • A Resubmit paper whose authors switch tracks (Research → ADS) is effectively a new submission: the Resubmit standing attaches to the reviewed paper, not to the project. Re-read the current rules before assuming the change summary carries over.
  • Adding authors between abstract and paper deadlines can trip the profile gate again at the worst moment: every new name needs a complete OpenReview profile too.
  • The abstract registered at the abstract deadline should match the final framing; bait-and-switch abstracts (registered as graph mining, submitted as LLM prompting) risk mis-bidding and hostile expert assignment.

Output format

text
[KDD readiness] Ready / Needs fixes / Not ready
[Track x cycle] Research|ADS x Cycle 1|Cycle 2 (source: current CFP)
[Blocking checks] <profiles/pages/anonymity/track duplication/resubmission flag>
[ADS deployment gate] quantified post-launch evidence: present / absent / N-A (Research)
[Artifact visibility] repo cited in PDF: yes / no
[Fix order] <ordered fixes before the AoE deadline>

© 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 KDD-Skills/skills/kdd-submission of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Kdd Submission

What does Kdd Submission do?

A skill your agent uses when auditing a KDD submission for readiness in either cycle, covering Research vs ADS track declaration, OpenReview profile completeness for all authors, the ACM sigconf…. Kdd Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when auditing a KDD submission for readiness in either cycle, covering Research vs ADS track declaration, OpenReview profile completeness for all authors, the ACM sigconf 8-content-page budget, double-blind checks, in-paper artifact references, resubmission declarations, and desk-reject triggers specific to ACM SIGKDD.

When should I use Kdd Submission?

Kdd Submission fits situations like: auditing a KDD submission for readiness in either cycle; covering Research vs ADS track declaration; openReview profile completeness for all authors; the ACM sigconf 8-content-page budget.

How do I install Kdd Submission in Claude Code?

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

How do I install Kdd Submission in Codex?

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

Can I use Kdd 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 kdd-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/kdd-submission, .gemini/skills/kdd-submission, .github/skills/kdd-submission and .opencode/skills/kdd-submission in your project.

What does Kdd Submission need to run?

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

Does Kdd 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 Kdd 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 Kdd Submission use?

Kdd 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 Kdd Submission use?

About 1.8k tokens (SKILL.md is roughly 7.2k 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 Kdd Submission?

Skills that share tags, products or a category with Kdd Submission: Iso27001 Audit Prep (alirezarezvani/claude-skills, 28k stars), Production Audit (affaan-m/ECC, 277k stars), Aims Audit (alirezarezvani/claude-skills, 28k stars) and OmniRoute Audit and Policy CLI (diegosouzapw/OmniRoute, 75k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Kdd 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.