Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
A skill your agent uses when strengthening ICML reproducibility evidence, including code/data availability, random seeds, compute disclosure, appendix evidence, impact-statement support, and…
Install Icml Reproducibility
$ npx skills add franklee16/academic-research-skills --skill icml-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install franklee16/academic-research-skills icml-reproducibility --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/franklee16/academic-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Awesome-Journal-Skills-main/ICML-Skills/skills/icml-reproducibility .claude/skills/icml-reproducibility && 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-reproducibility" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/ICML-Skills/skills/icml-reproducibility into .claude/skills/icml-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icml-reproducibility", 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/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/ICML-Skills/skills/icml-reproducibilityType 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 franklee16/academic-research-skills --skill icml-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install franklee16/academic-research-skills icml-reproducibility --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Awesome-Journal-Skills-main/ICML-Skills/skills/icml-reproducibility .agents/skills/icml-reproducibility && 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-reproducibility" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/ICML-Skills/skills/icml-reproducibility into .agents/skills/icml-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icml-reproducibility", 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 franklee16/academic-research-skills --skill icml-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install franklee16/academic-research-skills icml-reproducibility --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Awesome-Journal-Skills-main/ICML-Skills/skills/icml-reproducibility .cursor/skills/icml-reproducibility && 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-reproducibility" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/ICML-Skills/skills/icml-reproducibility into .cursor/skills/icml-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icml-reproducibility", 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/franklee16/academic-research-skills.git --path Awesome-Journal-Skills-main/ICML-Skills/skills/icml-reproducibility--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 franklee16/academic-research-skills --skill icml-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install franklee16/academic-research-skills icml-reproducibility --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Awesome-Journal-Skills-main/ICML-Skills/skills/icml-reproducibility .gemini/skills/icml-reproducibility && 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-reproducibility" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/ICML-Skills/skills/icml-reproducibility into .gemini/skills/icml-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icml-reproducibility", 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 franklee16/academic-research-skills icml-reproducibilityInstalls 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 franklee16/academic-research-skills --skill icml-reproducibility -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Awesome-Journal-Skills-main/ICML-Skills/skills/icml-reproducibility .github/skills/icml-reproducibility && 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-reproducibility" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/ICML-Skills/skills/icml-reproducibility into .github/skills/icml-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icml-reproducibility", 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 franklee16/academic-research-skills --skill icml-reproducibility -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install franklee16/academic-research-skills icml-reproducibility --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Awesome-Journal-Skills-main/ICML-Skills/skills/icml-reproducibility .opencode/skills/icml-reproducibility && 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-reproducibility" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/ICML-Skills/skills/icml-reproducibility into .opencode/skills/icml-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icml-reproducibility", 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-reproducibility- GitHub stars
- 223
- Used in
- 1 other repo
- Token cost
- ~446 tokens
- SKILL.md length
- 161 words
- Files
- 1
- Skills in repo
- 1,617
- Repo updated
- First seen
- Licence
- None found
At a glance
A skill your agent uses when strengthening ICML reproducibility evidence, including code/data availability, random seeds, compute disclosure, appendix evidence, impact-statement support, and…
- Strengthening ICML reproducibility evidence
- SKILL.md covers Evidence checklist, ICML-specific public-record… and Output format
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Including code/data availability
What it does
Icml Reproducibility is an agent skill from franklee16/academic-research-skills. Use when strengthening ICML reproducibility evidence, including code/data availability, random seeds, compute disclosure, appendix evidence, impact-statement support, and reviewer-facing reproducibility claims.
Its SKILL.md is about 450 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
- Strengthening ICML reproducibility evidence
- Including code/data availability
- Compute disclosure
- Appendix evidence
Example prompts
- “/icml-reproducibility”
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
Icml Reproducibility loads about 446 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 161 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 161 words (~446 tokens).
“Use this when the paper's acceptance risk is tied to whether experiments, code, or theory can be trusted. ICML reviewers are asked to evaluate soundness, and ICML author instructions state that reproducibility and code availability are considered in decisions.”
- name
- icml-reproducibility
Files
Just SKILL.md in Awesome-Journal-Skills-main/ICML-Skills/skills/icml-reproducibility 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
Icml Reproducibility 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 Reproducibility this skillfranklee16/academic-research-skills | 223 | 1 repos | ~446 | Automated safety check: Pass | None | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT | |
| CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw | 617 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Compute Environment Setupaipoch/open-science | 5.5k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Figure Styleaipoch/open-science | 5.5k | — | ~5.1k | Automated safety check: Pass | Apache-2.0 | |
| Add Bactopia Toolbactopia/bactopia | 522 | — | ~4.1k | Automated safety check: Pass | MIT |
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Prepares setup instructions and a named activation file for a user-managed software environment on an Open-Science SSH or Slurm compute host.
Figure Style
aipoch/open-science
Publication-grade correctness and legibility rules for final-deliverable scientific figures, not exploratory plots.
Add Bactopia Tool
bactopia/bactopia
Scaffold a complete Bactopia Tool across all three tiers -- module, subworkflow, and workflow entry point under workflows/bactopia-tools/.
Modeling Code and Result Contracts
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Related
Categories
Questions about Icml Reproducibility
What does Icml Reproducibility do?
A skill your agent uses when strengthening ICML reproducibility evidence, including code/data availability, random seeds, compute disclosure, appendix evidence, impact-statement support, and…. Icml Reproducibility is an agent skill from franklee16/academic-research-skills. Use when strengthening ICML reproducibility evidence, including code/data availability, random seeds, compute disclosure, appendix evidence, impact-statement support, and reviewer-facing reproducibility claims.
When should I use Icml Reproducibility?
Icml Reproducibility fits situations like: strengthening ICML reproducibility evidence; including code/data availability; compute disclosure; appendix evidence.
How do I install Icml Reproducibility in Claude Code?
Run `npx skills add franklee16/academic-research-skills --skill icml-reproducibility -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/ICML-Skills/skills/icml-reproducibility in franklee16/academic-research-skills) into .claude/skills/icml-reproducibility in your project. Claude Code loads it when a task matches its description.
How do I install Icml Reproducibility in Codex?
Run `npx skills add franklee16/academic-research-skills --skill icml-reproducibility -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/ICML-Skills/skills/icml-reproducibility in franklee16/academic-research-skills) into .agents/skills/icml-reproducibility in your project. Codex loads it when a task matches its description.
Can I use Icml Reproducibility 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 icml-reproducibility -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-reproducibility, .gemini/skills/icml-reproducibility, .github/skills/icml-reproducibility and .opencode/skills/icml-reproducibility in your project.
What does Icml Reproducibility need to run?
SKILL.md names no scripts, command-line tools or credentials: Icml Reproducibility is instructions for the agent only.
Does Icml Reproducibility 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 Reproducibility 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 Reproducibility use?
No licence was found for Icml Reproducibility or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Icml Reproducibility use?
About 446 tokens (SKILL.md is roughly 1.8k 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 Icml Reproducibility?
Skills that share tags, products or a category with Icml Reproducibility: 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 Icml Reproducibility?
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.