Arize Evaluator
github/awesome-copilot
Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and…
Agent skill
Icml Artifact Evaluation
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when packaging ICML artifacts - code, data, model weights, simulators, benchmarks, proof scripts, notebooks, anonymous repositories, and supplementary code/data ZIPs - for…
MITAuto-check passed
Install Icml Artifact Evaluation
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icml-artifact-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icml-artifact-evaluation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ICML-Skills/skills/icml-artifact-evaluation .claude/skills/icml-artifact-evaluation && rm -rf skills-srcUse ~/.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/
Install the "icml-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICML-Skills/skills/icml-artifact-evaluation into .claude/skills/icml-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icml-artifact-evaluation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICML-Skills/skills/icml-artifact-evaluationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icml-artifact-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icml-artifact-evaluation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ICML-Skills/skills/icml-artifact-evaluation .agents/skills/icml-artifact-evaluation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "icml-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICML-Skills/skills/icml-artifact-evaluation into .agents/skills/icml-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icml-artifact-evaluation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icml-artifact-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icml-artifact-evaluation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ICML-Skills/skills/icml-artifact-evaluation .cursor/skills/icml-artifact-evaluation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "icml-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICML-Skills/skills/icml-artifact-evaluation into .cursor/skills/icml-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icml-artifact-evaluation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path ICML-Skills/skills/icml-artifact-evaluation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icml-artifact-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icml-artifact-evaluation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ICML-Skills/skills/icml-artifact-evaluation .gemini/skills/icml-artifact-evaluation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "icml-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICML-Skills/skills/icml-artifact-evaluation into .gemini/skills/icml-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icml-artifact-evaluation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icml-artifact-evaluationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icml-artifact-evaluation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/ICML-Skills/skills/icml-artifact-evaluation .github/skills/icml-artifact-evaluation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "icml-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICML-Skills/skills/icml-artifact-evaluation into .github/skills/icml-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icml-artifact-evaluation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icml-artifact-evaluation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icml-artifact-evaluation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ICML-Skills/skills/icml-artifact-evaluation .opencode/skills/icml-artifact-evaluation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "icml-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICML-Skills/skills/icml-artifact-evaluation into .opencode/skills/icml-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icml-artifact-evaluation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
icml-artifact-evaluation- GitHub stars
- 1.2k
- Token cost
- ~857 tokens
- SKILL.md length
- 356 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when packaging ICML artifacts - code, data, model weights, simulators, benchmarks, proof scripts, notebooks, anonymous repositories, and supplementary code/data ZIPs - for…
- Packaging ICML artifacts - code
- SKILL.md covers Review-stage package, Public-release package, Anonymity leak checklist and Worked vignette: optimizer…, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Anonymous repositories
What it does
Icml Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when packaging ICML artifacts - code, data, model weights, simulators, benchmarks, proof scripts, notebooks, anonymous repositories, and supplementary code/data ZIPs - for both the double-blind review package and the public release that accompanies accepted PMLR papers. Use when checking anonymity, decision relevance, licensing, and the OpenReview code URL field under current ICML rules.
Its SKILL.md is about 860 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
- Packaging ICML artifacts - code
- Anonymous repositories
- Supplementary code/data ZIPs - for both the double-blind review package and the public release that accompanies accepted PMLR papers
- Checking anonymity
Example prompts
- “/icml-artifact-evaluation”
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.
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
Icml Artifact Evaluation loads about 857 tokens when it runs. Until then it costs about 105 tokens; SKILL.md has 356 words of instructions outside code blocks.
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). 356 words, ~857 tokens.
Download SKILL.mdSave it as
.claude/skills/icml-artifact-evaluation/SKILL.md (or your agent's skills folder).- name
- icml-artifact-evaluation
- description
- Use when packaging ICML artifacts - code, data, model weights, simulators, benchmarks, proof scripts, notebooks, anonymous repositories, and supplementary code/data ZIPs - for both the double-blind review package and the public release that accompanies accepted PMLR papers. Use when checking anonymity, decision relevance, licensing, and the OpenReview code URL field under current ICML rules.
ICML Artifact Evaluation
ICML does not let artifacts sit outside the paper's scientific argument. Reproducibility and code availability are explicitly considered in decision-making, and accepted submissions may publish the original supplementary material on OpenReview.
Review-stage package
- Decide whether the artifact is code, data, model weights, simulator, benchmark, proof script, notebook, or supplementary manuscript.
- Anonymize authors, repository ownership, filenames, commit history, logs, model cards, dataset cards, licenses, and personal paths.
- If using an anonymous repository, put it on a branch that will not change after the submission deadline.
- Put critical evaluation material in the paper body, not only in supplement. Reviewers decide whether to consult appendices or supplementary material.
- Provide minimal commands, environment details, expected runtime, hardware assumptions, and result mapping.
Public-release package
- Because accepted original supplementary material may become public, review-stage artifacts should not contain private, illegal, or unreleasable content.
- For camera-ready, final supplementary material is not uploaded separately; code/data should move to a public repository or archive and be linked in the paper/OpenReview code URL field.
- Add clear licenses and persistent identifiers when possible.
Show full SKILL.md (181 more words)Show less
Anonymity leak checklist
ICML double-blind review means a single deanonymizing artifact can trigger a desk reject, so audit the package the way an adversarial reviewer would.
| Leak vector | Where it hides | Mitigation |
|---|---|---|
| Repo ownership | Anonymous-repo account name, commit author | Use a fresh anonymized host, strip git history |
| File metadata | PDF author field, notebook kernel, model card | Clear metadata, rename author paths |
| Hard-coded paths | Cluster usernames in scripts and logs | Replace with placeholders before zipping |
| External links | Personal site, non-anonymous URL, shortener | Remove or route through an anonymous mirror |
Worked vignette: optimizer artifact package
A paper shipping an adaptive optimizer includes training scripts, a pretrained checkpoint, and a proof-checking notebook. The review package gives minimal commands, expected runtime, and the hardware assumption so a reviewer can map a command to a benchmark number, while the checkpoint filename and the notebook kernel are scrubbed of the lab name. Because accepted ICML supplements can become public, the team confirms the checkpoint is releasable and the license is stated before the deadline, then plans the public repository and OpenReview code URL for camera-ready.
Output format
[Artifact role] code / data / model / benchmark / proof / none
[Review package] sufficient / incomplete / unsafe
[Anonymity risks] <metadata, repo, filenames, links>
[Decision relevance] <why reviewers need it>
[Public release plan] <repo/archive/license/code URL>© 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 ICML-Skills/skills/icml-artifact-evaluation of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Icml Artifact Evaluation 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Icml Artifact Evaluation this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~857 | Automated safety check: Pass | MIT | |
| Arize Evaluatorgithub/awesome-copilot | 40k | 1 repos | ~8.1k | Automated safety check: Notes | MIT | |
| Artifacts Buildernexu-io/open-design | 100k | — | ~347 | Automated safety check: Pass | Apache-2.0 | |
| Ccs Artifact Evaluationbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~969 | Automated safety check: Pass | MIT | |
| Mobisys Artifact Evaluationbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1k | Automated safety check: Pass | MIT | |
| Fast Artifact Evaluationbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT |
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Questions about Icml Artifact Evaluation
What does Icml Artifact Evaluation do?
A skill your agent uses when packaging ICML artifacts - code, data, model weights, simulators, benchmarks, proof scripts, notebooks, anonymous repositories, and supplementary code/data ZIPs - for…. Icml Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when packaging ICML artifacts - code, data, model weights, simulators, benchmarks, proof scripts, notebooks, anonymous repositories, and supplementary code/data ZIPs - for both the double-blind review package and the public release that accompanies accepted PMLR papers.
When should I use Icml Artifact Evaluation?
Icml Artifact Evaluation fits situations like: packaging ICML artifacts - code; anonymous repositories; supplementary code/data ZIPs - for both the double-blind review package and the public release that accompanies accepted PMLR papers; checking anonymity.
How do I install Icml Artifact Evaluation in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icml-artifact-evaluation -a claude-code`. Or copy the skill folder (ICML-Skills/skills/icml-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/icml-artifact-evaluation in your project. Claude Code loads it when a task matches its description.
How do I install Icml Artifact Evaluation in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icml-artifact-evaluation -a codex`. Or copy the skill folder (ICML-Skills/skills/icml-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/icml-artifact-evaluation in your project. Codex loads it when a task matches its description.
Can I use Icml Artifact Evaluation 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 icml-artifact-evaluation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/icml-artifact-evaluation, .gemini/skills/icml-artifact-evaluation, .github/skills/icml-artifact-evaluation and .opencode/skills/icml-artifact-evaluation in your project.
What does Icml Artifact Evaluation need to run?
SKILL.md names no scripts, command-line tools or credentials: Icml Artifact Evaluation is instructions for the agent only.
Does Icml Artifact Evaluation 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 Icml Artifact Evaluation 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 Icml Artifact Evaluation use?
Icml Artifact Evaluation 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 Icml Artifact Evaluation use?
About 857 tokens (SKILL.md is roughly 3.4k 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 Icml Artifact Evaluation?
Skills that share tags, products or a category with Icml Artifact Evaluation: Arize Evaluator (github/awesome-copilot, 40k stars), Artifacts Builder (nexu-io/open-design, 100k stars), Ccs Artifact Evaluation (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Mobisys Artifact Evaluation (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Icml Artifact Evaluation?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.