Agent skill

Neurips Artifact Evaluation

by franklee16 in franklee16/academic-research-skills

A skill your agent uses when packaging NeurIPS code, data, models, demos, benchmarks, or other research artifacts for anonymous review, reproducibility, public release, or MLRC-style artifact…

No licenceAuto-check passedResearch & Science

Install Neurips Artifact Evaluation

skills CLI
$ npx skills add franklee16/academic-research-skills --skill neurips-artifact-evaluation -a claude-code

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

GitHub CLI
$ gh skill install franklee16/academic-research-skills neurips-artifact-evaluation --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/franklee16/academic-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Awesome-Journal-Skills-main/NeurIPS-Skills/skills/neurips-artifact-evaluation .claude/skills/neurips-artifact-evaluation && 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
neurips-artifact-evaluation
GitHub stars
223
Used in
1 other repo
Token cost
~595 tokens
SKILL.md length
247 words
Files
1
Skills in repo
1,617
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses when packaging NeurIPS code, data, models, demos, benchmarks, or other research artifacts for anonymous review, reproducibility, public release, or MLRC-style artifact…

  • Packaging NeurIPS code
  • SKILL.md covers Artifact decision, Anonymous review package, Public release package and Output format
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Other research artifacts for anonymous review

What it does

Neurips Artifact Evaluation is an agent skill from franklee16/academic-research-skills. Use when packaging NeurIPS code, data, models, demos, benchmarks, or other research artifacts for anonymous review, reproducibility, public release, or MLRC-style artifact scrutiny.

Its SKILL.md is about 600 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: Comprehensive collection of Claude Code skills for academic research in economics, finance, and social sciences.

When your agent uses it

  • Packaging NeurIPS code
  • Other research artifacts for anonymous review
  • Reproducibility
  • MLRC-style artifact scrutiny

Example prompts

  • “/neurips-artifact-evaluation”

What it can do on your machine

Read from SKILL.md and the folder at commit 9a4b2db. 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

Neurips Artifact Evaluation loads about 595 tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 247 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~595

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 247 words (~595 tokens).

“NeurIPS main track does not reduce artifact quality to a generic badge workflow. It expects code, data, and execution details when they are needed to support the scientific claim, and its checklist and code/data guidance make artifact quality visible to…”

— opening of SKILL.md by franklee16
name
neurips-artifact-evaluation

Read the full SKILL.md on GitHub

Files

Just SKILL.md in Awesome-Journal-Skills-main/NeurIPS-Skills/skills/neurips-artifact-evaluation of franklee16/academic-research-skills.

Open the folder on GitHubat commit 9a4b2db

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in franklee16/academic-research-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Neurips 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.

Neurips Artifact Evaluation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Neurips Artifact Evaluation this skillfranklee16/academic-research-skills2231 repos~595Automated safety check: PassNone
Peer ReviewK-Dense-AI/claude-scientific-writer2.4k2 repos~3.1kAutomated safety check: NotesMIT
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 Neurips Artifact Evaluation

What does Neurips Artifact Evaluation do?

A skill your agent uses when packaging NeurIPS code, data, models, demos, benchmarks, or other research artifacts for anonymous review, reproducibility, public release, or MLRC-style artifact…. Neurips Artifact Evaluation is an agent skill from franklee16/academic-research-skills. Use when packaging NeurIPS code, data, models, demos, benchmarks, or other research artifacts for anonymous review, reproducibility, public release, or MLRC-style artifact scrutiny.

When should I use Neurips Artifact Evaluation?

Neurips Artifact Evaluation fits situations like: packaging NeurIPS code; other research artifacts for anonymous review; reproducibility; MLRC-style artifact scrutiny.

How do I install Neurips Artifact Evaluation in Claude Code?

Run `npx skills add franklee16/academic-research-skills --skill neurips-artifact-evaluation -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/NeurIPS-Skills/skills/neurips-artifact-evaluation in franklee16/academic-research-skills) into .claude/skills/neurips-artifact-evaluation in your project. Claude Code loads it when a task matches its description.

How do I install Neurips Artifact Evaluation in Codex?

Run `npx skills add franklee16/academic-research-skills --skill neurips-artifact-evaluation -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/NeurIPS-Skills/skills/neurips-artifact-evaluation in franklee16/academic-research-skills) into .agents/skills/neurips-artifact-evaluation in your project. Codex loads it when a task matches its description.

Can I use Neurips 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 franklee16/academic-research-skills --skill neurips-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/neurips-artifact-evaluation, .gemini/skills/neurips-artifact-evaluation, .github/skills/neurips-artifact-evaluation and .opencode/skills/neurips-artifact-evaluation in your project.

What does Neurips Artifact Evaluation need to run?

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

Does Neurips 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 Neurips 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 Neurips Artifact Evaluation use?

No licence was found for Neurips Artifact Evaluation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Neurips Artifact Evaluation use?

About 595 tokens (SKILL.md is roughly 2.4k 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 Neurips Artifact Evaluation?

Skills that share tags, products or a category with Neurips Artifact Evaluation: 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 Neurips Artifact Evaluation?

franklee16 (a GitHub user) maintains it in franklee16/academic-research-skills, which has 223 GitHub stars. The repository holds 1,617 skills in this directory. The repository was last updated on September 18, 2026.

Source: franklee16/academic-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.