Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Agent skill
Referee Response
by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills
Drafts a point-by-point response letter to referee comments with suggested edits.
Install Referee Response
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill referee-response -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills referee-response --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/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/29-quarcs-lab-project20XXy/dot-claude/skills/referee-response .claude/skills/referee-response && 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 "referee-response" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/29-quarcs-lab-project20XXy/dot-claude/skills/referee-response into .claude/skills/referee-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "referee-response", 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/Auto-Empirical-Research-Skills/tree/main/skills/29-quarcs-lab-project20XXy/dot-claude/skills/referee-responseType 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/Auto-Empirical-Research-Skills --skill referee-response -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills referee-response --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/29-quarcs-lab-project20XXy/dot-claude/skills/referee-response .agents/skills/referee-response && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "referee-response" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/29-quarcs-lab-project20XXy/dot-claude/skills/referee-response into .agents/skills/referee-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "referee-response", 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/Auto-Empirical-Research-Skills --skill referee-response -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills referee-response --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/29-quarcs-lab-project20XXy/dot-claude/skills/referee-response .cursor/skills/referee-response && 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 "referee-response" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/29-quarcs-lab-project20XXy/dot-claude/skills/referee-response into .cursor/skills/referee-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "referee-response", 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/Auto-Empirical-Research-Skills.git --path skills/29-quarcs-lab-project20XXy/dot-claude/skills/referee-response--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/Auto-Empirical-Research-Skills --skill referee-response -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills referee-response --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/29-quarcs-lab-project20XXy/dot-claude/skills/referee-response .gemini/skills/referee-response && 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 "referee-response" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/29-quarcs-lab-project20XXy/dot-claude/skills/referee-response into .gemini/skills/referee-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "referee-response", 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/Auto-Empirical-Research-Skills referee-responseInstalls 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/Auto-Empirical-Research-Skills --skill referee-response -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/29-quarcs-lab-project20XXy/dot-claude/skills/referee-response .github/skills/referee-response && 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 "referee-response" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/29-quarcs-lab-project20XXy/dot-claude/skills/referee-response into .github/skills/referee-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "referee-response", 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/Auto-Empirical-Research-Skills --skill referee-response -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/Auto-Empirical-Research-Skills referee-response --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/29-quarcs-lab-project20XXy/dot-claude/skills/referee-response .opencode/skills/referee-response && 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 "referee-response" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/29-quarcs-lab-project20XXy/dot-claude/skills/referee-response into .opencode/skills/referee-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "referee-response", 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
referee-response- GitHub stars
- 4.5k
- Token cost
- ~647 tokens
- SKILL.md length
- 255 words
- Files
- 1
- Skills in repo
- 383
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Drafts a point-by-point response letter to referee comments with suggested edits.
- Works in 9 steps: Read the referee comments → Read index.qmd to understand the current… → Parse the referee comments into… → …
- Research & Science work in your project
- SKILL.md covers Arguments, Steps and Error handling
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Referee Response is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Drafts a point-by-point response letter to referee comments with suggested edits. Use after a revise-and-resubmit.
Its SKILL.md is about 650 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
- Research & Science work in your project
Example prompts
- “Use the referee-response skill to draft a point-by-point response letter to referee comments with suggested edits”
- “/referee-response”
Requirements
- Pre-approved tools (allowed-tools): Bash, Read, Write, Edit, Glob, Grep
Workflow steps
9 steps, taken from the first numbered list in SKILL.md.
- Read the referee comments
- Read index.qmd to understand the current manuscript content, structure, and arguments.
- Parse the referee comments into individual points. Each point typically starts with a number, letter, or dash.
- For each referee point, draft a structured response
- Use appropriate response conventions
- Organize the response by referee
- Save the response letter to notes/referee-response-R.md where N is the revision round number (check existing files to determine the round).
- Generate a separate list of suggested manuscript edits — specific changes to index.qmd or notebooks that address the referee's concerns…
- Report the response letter file path and the list of suggested edits.
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:
BashReadWriteEditGlobGrep
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
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 Response loads about 647 tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 255 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: 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: Bash, Read, Write, Edit, Glob, Grep
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 255 words (~647 tokens).
“Draft a structured point-by-point response to referee comments.”
- name
- referee-response
- allowed-tools
- Bash, Read, Write, Edit, Glob, Grep
- argument-hint
- <path> or 'paste'
Files
Just SKILL.md in skills/29-quarcs-lab-project20XXy/dot-claude/skills/referee-response of brycewang-stanford/Auto-Empirical-Research-Skills.
Open the folder on GitHubat commit 9fa87d8
Compare with similar skills
Referee Response 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 |
|---|---|---|---|---|---|---|
| Referee Response this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~647 | Automated safety check: Notes | Custom licence | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Peer Reviewspacering-net/codeg | 3.9k | 17 repos | ~5.9k | Automated safety check: Notes | MIT |
Similar skills
GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Nature Paper Card
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
Peer Review
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
Last30days
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
More from brycewang-stanford/Auto-Empirical-Research-Skills
All 383 skills in this repoAer Consistency
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when auditing a finished or near-finished AER, AER:Insights, or AEJ manuscript for internal consistency: headline numbers across abstract, introduction, results, and tables…
Latex Paper En
brycewang-stanford/Auto-Empirical-Research-Skills
English LaTeX academic paper assistant for existing .tex projects.
Bayesian Workflow
brycewang-stanford/Auto-Empirical-Research-Skills
Opinionated Bayesian modeling workflow with PyMC and ArviZ. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
Daily Paper Generator
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when the user asks to "generate daily paper", "search arXiv for EEG papers", "find EEG decoding papers", "review brain-computer interface papers", or wants to create paper…
Five Questions
brycewang-stanford/Auto-Empirical-Research-Skills
Deeply analyze any empirical economics PDF using the five-question framework (五问框架): research question, identification strategy, core estimand, robustness logic, and scholarly contribution.
Kaggle Research
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…
Related
Categories
Questions about Referee Response
What does Referee Response do?
Drafts a point-by-point response letter to referee comments with suggested edits. Referee Response is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Drafts a point-by-point response letter to referee comments with suggested edits.
When should I use Referee Response?
Referee Response fits situations like: research & Science work in your project.
How do I install Referee Response in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill referee-response -a claude-code`. Or copy the skill folder (skills/29-quarcs-lab-project20XXy/dot-claude/skills/referee-response in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/referee-response in your project. Claude Code loads it when a task matches its description.
How do I install Referee Response in Codex?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill referee-response -a codex`. Or copy the skill folder (skills/29-quarcs-lab-project20XXy/dot-claude/skills/referee-response in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/referee-response in your project. Codex loads it when a task matches its description.
Can I use Referee Response 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-response -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-response, .gemini/skills/referee-response, .github/skills/referee-response and .opencode/skills/referee-response in your project.
What does Referee Response need to run?
SKILL.md names no scripts, command-line tools or credentials: Referee Response is instructions for the agent only. Its frontmatter pre-approves these tools: Bash, Read, Write, Edit, Glob, Grep.
Does Referee Response 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 Response 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 Response use?
Referee Response 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 Response use?
About 647 tokens (SKILL.md is roughly 2.6k 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 Response?
Skills that share tags, products or a category with Referee Response: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Referee Response?
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.