Agent Skillsbrycewang-stanford/Awesome-Journal-Skills › iclr-artifact-evaluation

iclr-artifact-evaluation

GitHub

用于准备ICLR论文的复现材料,包括代码、数据、检查点及演示,确保匿名性和可验证性。涵盖打包规范、去隐私处理、审稿人快速测试脚本生成及公开发布转换,旨在提升论文评审效率和透明度。

ICLR-Skills/skills/iclr-artifact-evaluation/SKILL.md brycewang-stanford/Awesome-Journal-Skills

Trigger Scenarios

需要为ICLR论文打包代码和数据以供审稿 审稿人要求提供缺失的复现路径 将匿名补充材料转换为永久公开的接受后版本

Install

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iclr-artifact-evaluation -g -y
More Options

Non-standard path

npx skills add https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICLR-Skills/skills/iclr-artifact-evaluation -g -y

Use without installing

npx skills use brycewang-stanford/Awesome-Journal-Skills@iclr-artifact-evaluation

指定 Agent (Claude Code)

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iclr-artifact-evaluation -a claude-code -g -y

安装 repo 全部 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --all -g -y

预览 repo 内 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --list

SKILL.md

Frontmatter
{
    "name": "iclr-artifact-evaluation",
    "description": "Use when packaging ICLR code, data, checkpoints, demos, logs, and reproduction instructions for reviewers or post-acceptance release, including anonymized links and private OpenReview discussion-period sharing. Use when a reviewer asks for a missing repro path, when a public comment questions whether claims can be verified, or when converting an anonymous supplement into a durable post-acceptance release for the permanent ICLR record."
}

ICLR Artifact Evaluation

Use this to prepare artifacts that make an ICLR paper reproducible and reviewable. ICLR may not run a separate artifact-badge process for every paper, so the practical bar is whether reviewers and ACs can verify the claims without identity leakage or excessive setup.

Artifact package

  • Provide a minimal reproduction path for every central table or figure: command, config, seed, expected runtime, hardware, and expected output file.
  • Include data provenance, preprocessing scripts, licenses, and any access restrictions.
  • Separate heavy checkpoints or datasets from the core anonymized supplement when file-size limits require it; document private reviewer links clearly.
  • Remove usernames, organization names, cloud buckets, Git history, API keys, and metadata that can deanonymize authors.
  • Add a smoke-test script that runs in minutes and confirms environment integrity.
  • Mark any unreleasable component and give a defensible reason, not a vague "proprietary" note.

ICLR-specific handling

  • Submit supplementary material by the paper deadline when the current Author Guide requires it.
  • During discussion, use private links or revised supplements only within current OpenReview rules.
  • If a demo is useful, make it anonymous and robust to reviewer traffic, and avoid analytics that identify visitors.
  • After acceptance, replace anonymous links with durable public archives or project pages.

What reviewers actually open

ICLR reviewers sample the supplement under time pressure during an open discussion everyone can read later. Optimize for the first ten minutes.

Reviewer signal Strong artifact Weak artifact
"Rerun the headline table?" run_main.sh with seed, config, log "See repo", no entry point
"Is this anonymous?" Stripped remotes, no analytics Demo that logs reviewer IPs
"Checkpoint matches paper?" Hash-pinned weights + eval command Unlabeled .pt files
"What is not covered?" "Cannot release X, license Y" Silent gaps read as hiding

Worked vignette

A submission proposes a self-supervised contrastive objective for graph encoders and ships a 9 GB checkpoint but no eval command. A public review asks how to reproduce Table 2 without retraining. The fix: add eval_table2.sh that loads the checkpoint, runs the frozen-encoder probe, prints the exact numbers, pin the checkpoint hash, and note in the thread that it runs in minutes on one GPU. The clean path stays public forever and reassures every later reader of the accepted paper.

Reviewer-pushback patterns

  • "Anonymous link is dead." Host static files in the OpenReview supplement ZIP, not an external service that can expire mid-discussion.
  • "Smoke test passes but the real run does not." Ship a longer reference log so reviewers can diff intermediate values, not only final scores.
  • "Proprietary, cannot share." Replace the vague label with a synthetic-data substitute.

Output format

[Artifact status] complete / partial / risky / unavailable
[Reviewer path] <fastest route to reproduce main claim>
[Anonymity risks] <metadata, links, logs, demos>
[Release plan] anonymous review / post-acceptance public / cannot release
[Missing evidence] <commands, seeds, data, checkpoints, licenses>

Version History

  • 1839142 Current 2026-07-05 13:19

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Metadata

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