Generate academic referee reports for economics/finance papers, followed by a 150-word letter to the editor with recommendation (Reject / Major Revision) and Kai Wu signature.

Custom licenceAuto-check: notesResearch & Science

Install Referee Report

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill referee-report -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills referee-report --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/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/67-econfin-workflow-toolkit/referee-report .claude/skills/referee-report && 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
referee-report
GitHub stars
4.5k
Token cost
~3.2k tokens
SKILL.md length
1,539 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Generate academic referee reports for economics/finance papers, followed by a 150-word letter to the editor with recommendation (Reject / Major Revision) and Kai Wu signature.

  • Works in 4 steps: Initialization → Configuration → Generate Report → …
  • User says referee report / write referee report / 审稿报告 / 写审稿意见 / generate referee report / review this paper
  • SKILL.md covers Overview, Language Rule, Workflow and Report Structure, plus 1 more section
  • Calls pandoc

What it does

Referee Report is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Generate academic referee reports for economics/finance papers, followed by a 150-word letter to the editor with recommendation (Reject / Major Revision) and Kai Wu signature. Two modes (normal / high-level), configurable number of comments; recommendation choice drives evaluation tone (Reject → negative, Major Revision → neutral). Trigger when user says "referee report" / "write referee report" / "审稿报告" / "写审稿意见" / "generate referee report" / "review this paper".

Its SKILL.md is about 3.2k 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. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • User says referee report / write referee report / 审稿报告 / 写审稿意见 / generate referee report / review this paper

Example prompts

  • “referee report”
  • “write referee report”
  • “generate referee report”
  • “/referee-report”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Glob, Grep, AskUserQuestion, Bash

Workflow steps

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

  1. Initialization
  2. Configuration
  3. Generate Report
  4. Output

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Glob
    • Grep
    • AskUserQuestion
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pandoc

    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

Referee Report loads about 3.2k tokens when it runs. Until then it costs about 121 tokens; SKILL.md has 1,539 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~121
When it runs · the whole SKILL.md, loaded when a task matches
~3.2k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Glob, Grep, AskUserQuestion, Bash

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,539 words (~3,178 tokens).

“This skill generates a referee report for an academic economics/finance paper. The user provides a project folder containing the manuscript and supporting files. The skill reads the paper thoroughly, then generates a structured referee report with a summary, overall assessment…”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
referee-report
allowed-tools
Read, Write, Glob, Grep, AskUserQuestion, Bash
argument-hint
[path-to-project-folder]

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/67-econfin-workflow-toolkit/referee-report of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Referee Report 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.

Referee Report compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Referee Report this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~3.2kAutomated safety check: NotesCustom licence
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence
Scientific Venue Templatesdavila7/claude-code-templates32k9 repos~5.1kAutomated safety check: NotesMIT
Horizontal-Vertical Deep ResearchKKKKhazix/khazix-skills21k—~2.1kAutomated safety check: PassMIT
Econ Writehanlulong/econ-writing-skill6472 repos~14kAutomated safety check: PassMIT
Math Modeling Competition WorkflowXiaoMaColtAI/math-modeling-skill1.9k—~1.2kAutomated safety check: PassNone

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Questions about Referee Report

What does Referee Report do?

Generate academic referee reports for economics/finance papers, followed by a 150-word letter to the editor with recommendation (Reject / Major Revision) and Kai Wu signature. Referee Report is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Generate academic referee reports for economics/finance papers, followed by a 150-word letter to the editor with recommendation (Reject / Major Revision) and Kai Wu signature.

When should I use Referee Report?

Referee Report fits situations like: user says referee report / write referee report / 审稿报告 / 写审稿意见 / generate referee report / review this paper.

How do I install Referee Report in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill referee-report -a claude-code`. Or copy the skill folder (skills/67-econfin-workflow-toolkit/referee-report in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/referee-report in your project. Claude Code loads it when a task matches its description.

How do I install Referee Report in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill referee-report -a codex`. Or copy the skill folder (skills/67-econfin-workflow-toolkit/referee-report in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/referee-report in your project. Codex loads it when a task matches its description.

Can I use Referee Report 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/Auto-Empirical-Research-Skills --skill referee-report -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/referee-report, .gemini/skills/referee-report, .github/skills/referee-report and .opencode/skills/referee-report in your project.

What does Referee Report need to run?

Going by SKILL.md and its folder, Referee Report needs the command-line tools its instructions call (pandoc). Its frontmatter pre-approves these tools: Read, Write, Glob, Grep, AskUserQuestion, Bash.

Does Referee Report 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 Referee Report safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Referee Report use?

Referee Report has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Referee Report use?

About 3.2k tokens (SKILL.md is roughly 13k 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 Referee Report?

Skills that share tags, products or a category with Referee Report: Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars), Scientific Venue Templates (davila7/claude-code-templates, 32k stars), Horizontal-Vertical Deep Research (KKKKhazix/khazix-skills, 21k stars) and Econ Write (hanlulong/econ-writing-skill, 647 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Referee Report?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,542 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-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.