Agent skill

Icml Reviewer

by sundial-org in sundial-org/skills

Paper reviewer that evaluates machine learning research projects following official ICML reviewer guidelines.

No licenceAuto-check passedResearch & Science

Install Icml Reviewer

skills CLI
$ npx skills add sundial-org/skills --skill icml-reviewer -a claude-code

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

GitHub CLI
$ gh skill install sundial-org/skills icml-reviewer --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/sundial-org/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/icml-reviewer .claude/skills/icml-reviewer && 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
icml-reviewer
GitHub stars
153
Token cost
~2.4k tokens
SKILL.md length
1,135 words
Files
4 (incl. references)
Skills in repo
13
Repo updated
First seen
Licence
None found

At a glance

Paper reviewer that evaluates machine learning research projects following official ICML reviewer guidelines.

  • Works in 7 steps: Input Analysis & Mode Selection → Prior Work Grounding (Critical - All… → Systematic Evaluation → …
  • Tasks that involve Proposals and quotes
  • SKILL.md covers Workflow, Full Review Mode (Complete…, Key Principles and Rating Scales, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Icml Reviewer is an agent skill from sundial-org/skills. Paper reviewer that evaluates machine learning research projects following official ICML reviewer guidelines. Provides comprehensive reviews with actionable feedback across all key dimensions: claims/evidence, relation to prior work, originality, significance, clarity, and reproducibility. Also provides formative feedback on incomplete drafts, proposals, and research code repositories. MANDATORY TRIGGERS: review paper, ICML review, paper review, evaluate paper, research paper feedback, ML paper review, conference…

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/common-issues.md`, `references/evaluation-criteria.md` and `references/review-template.md`).

It sits in Research & Science, covering Proposals and quotes, Scientific writing and Peer review. The repository describes itself as: Claude Code Skills by Sundial.

When your agent uses it

  • Tasks that involve Proposals and quotes
  • Tasks that involve Scientific writing
  • Tasks that involve Peer review

Example prompts

  • “/icml-reviewer”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Input Analysis & Mode Selection
  2. Prior Work Grounding (Critical - All Modes)
  3. Systematic Evaluation
  4. Critical Cross-Check Against Literature
  5. Generate Review
  6. Quality Check
  7. Generate Formative Feedback

What it can do on your machine

Read from SKILL.md and the folder at commit 5a3bf9f. 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 Reviewer loads about 2.4k tokens when it runs, and up to ~9.5k if it reads all its reference files. Until then it costs about 193 tokens; SKILL.md has 1,135 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~193
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9.5k

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 1,135 words (~2,385 tokens).

“Enables rigorous review of ML research papers following official ICML guidelines.”

— opening of SKILL.md by sundial-org
name
icml-reviewer

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (references) in skills/icml-reviewer of sundial-org/skills.

  • SKILL.md
  • references/common-issues.md
  • references/evaluation-criteria.md
  • references/review-template.md

Open the folder on GitHubat commit 5a3bf9f

Compare with similar skills

Icml Reviewer 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.

Icml Reviewer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Icml Reviewer this skillsundial-org/skills153—~2.4kAutomated safety check: PassNone
Peer ReviewK-Dense-AI/claude-scientific-writer2.4k2 repos~3.1kAutomated safety check: NotesMIT
Scientific Workflow ToolsDrugClaw/DrugClaw126—~712Automated safety check: PassApache-2.0
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence
Academic Paper ReviewerImbad0202/academic-research-skills51k—~11kAutomated safety check: PassCustom licence
Academic HumanizerAIScientists-Dev/academic-humanizer1.9k1 repos~4.2kAutomated safety check: PassMIT

Similar skills

  • Peer Review

    K-Dense-AI/claude-scientific-writer

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    2.4k GitHub starsUsed in 2 repos~3.1k tokens
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  • Scientific Workflow Tools

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    Research-method workflow guide for hypothesis framing, peer-review style critique, reproducibility planning, study-design checks, and scientific-writing structure.

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  • Academic Paper Reviewer

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    51k GitHub stars~11k tokensUpdated yesterday
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Questions about Icml Reviewer

What does Icml Reviewer do?

Paper reviewer that evaluates machine learning research projects following official ICML reviewer guidelines. Icml Reviewer is an agent skill from sundial-org/skills. Paper reviewer that evaluates machine learning research projects following official ICML reviewer guidelines.

When should I use Icml Reviewer?

Icml Reviewer fits situations like: tasks that involve Proposals and quotes; tasks that involve Scientific writing; tasks that involve Peer review.

How do I install Icml Reviewer in Claude Code?

Run `npx skills add sundial-org/skills --skill icml-reviewer -a claude-code`. Or copy the skill folder (skills/icml-reviewer in sundial-org/skills) into .claude/skills/icml-reviewer in your project. Claude Code loads it when a task matches its description.

How do I install Icml Reviewer in Codex?

Run `npx skills add sundial-org/skills --skill icml-reviewer -a codex`. Or copy the skill folder (skills/icml-reviewer in sundial-org/skills) into .agents/skills/icml-reviewer in your project. Codex loads it when a task matches its description.

Can I use Icml Reviewer 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 sundial-org/skills --skill icml-reviewer -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-reviewer, .gemini/skills/icml-reviewer, .github/skills/icml-reviewer and .opencode/skills/icml-reviewer in your project.

What does Icml Reviewer need to run?

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

Does Icml Reviewer 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 Reviewer 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 Reviewer use?

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

How many tokens does Icml Reviewer use?

About 2.4k tokens (SKILL.md is roughly 9.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.1k tokens, read only when the agent opens those files.

What are the alternatives to Icml Reviewer?

Skills that share tags, products or a category with Icml Reviewer: Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), Scientific Workflow Tools (DrugClaw/DrugClaw, 126 stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars) and Academic Paper Reviewer (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Icml Reviewer?

sundial-org (a GitHub organization) maintains it in sundial-org/skills, which has 153 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on July 15, 2026.

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