Peer Review
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
A skill your agent uses when responding to a Language (LSA) decision — a revise-and-resubmit response letter, or an author Rejoinder in the Perspectives target-article-and-commentaries format.
Install Lang Rebuttal
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lang-rebuttal -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills lang-rebuttal --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/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Language-Linguistic-Society-Skills/skills/lang-rebuttal .claude/skills/lang-rebuttal && 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 "lang-rebuttal" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-rebuttal into .claude/skills/lang-rebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lang-rebuttal", 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/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-rebuttalType 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/Awesome-Journal-Skills --skill lang-rebuttal -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills lang-rebuttal --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Language-Linguistic-Society-Skills/skills/lang-rebuttal .agents/skills/lang-rebuttal && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lang-rebuttal" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-rebuttal into .agents/skills/lang-rebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lang-rebuttal", 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/Awesome-Journal-Skills --skill lang-rebuttal -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills lang-rebuttal --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Language-Linguistic-Society-Skills/skills/lang-rebuttal .cursor/skills/lang-rebuttal && 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 "lang-rebuttal" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-rebuttal into .cursor/skills/lang-rebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lang-rebuttal", 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/Awesome-Journal-Skills.git --path Language-Linguistic-Society-Skills/skills/lang-rebuttal--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/Awesome-Journal-Skills --skill lang-rebuttal -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills lang-rebuttal --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Language-Linguistic-Society-Skills/skills/lang-rebuttal .gemini/skills/lang-rebuttal && 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 "lang-rebuttal" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-rebuttal into .gemini/skills/lang-rebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lang-rebuttal", 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/Awesome-Journal-Skills lang-rebuttalInstalls 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/Awesome-Journal-Skills --skill lang-rebuttal -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Language-Linguistic-Society-Skills/skills/lang-rebuttal .github/skills/lang-rebuttal && 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 "lang-rebuttal" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-rebuttal into .github/skills/lang-rebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lang-rebuttal", 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/Awesome-Journal-Skills --skill lang-rebuttal -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/Awesome-Journal-Skills lang-rebuttal --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Language-Linguistic-Society-Skills/skills/lang-rebuttal .opencode/skills/lang-rebuttal && 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 "lang-rebuttal" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-rebuttal into .opencode/skills/lang-rebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lang-rebuttal", 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
lang-rebuttal- GitHub stars
- 1.2k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 577 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when responding to a Language (LSA) decision — a revise-and-resubmit response letter, or an author Rejoinder in the Perspectives target-article-and-commentaries format.
- Works in 5 steps: Open with the through-line. One short… → Point-by-point, verbatim. Quote each… → Show the new evidence. If a referee… → …
- Responding to a Language (LSA) decision — a revise-and-resubmit response letter
- SKILL.md covers When to trigger, R&R response letter (structure), Perspectives Rejoinder… and Referee-response patterns and…, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Lang Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when responding to a Language (LSA) decision — a revise-and-resubmit response letter, or an author Rejoinder in the Perspectives target-article-and-commentaries format. Turns reviewer objections into a point-by-point revision plan that engages rival frameworks and firms up evidence. Structures the response; it does not fabricate new results.
Its SKILL.md is about 1.3k 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 Peer review. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.
When your agent uses it
- Responding to a Language (LSA) decision — a revise-and-resubmit response letter
- An author Rejoinder in the Perspectives target-article-and-commentaries format
Example prompts
- “/lang-rebuttal”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Open with the through-line. One short paragraph: what changed, and how the revision strengthens
- Point-by-point, verbatim. Quote each comment, then respond: Change made (with the new
- Show the new evidence. If a referee doubted the statistics, present the refit **mixed-effects
- Engage the rival framework. Where a referee raised a competing analysis, add the adjudicating
- Reconcile conflicting reviewers. State the trade-off openly and justify the path you took; the
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. 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
Lang Rebuttal loads about 1.3k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 577 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
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 577 words, ~1,303 tokens.
Download SKILL.mdSave it as
.claude/skills/lang-rebuttal/SKILL.md (or your agent's skills folder).- name
- lang-rebuttal
- description
- Use when responding to a Language (LSA) decision — a revise-and-resubmit response letter, or an author Rejoinder in the Perspectives target-article-and-commentaries format. Turns reviewer objections into a point-by-point revision plan that engages rival frameworks and firms up evidence. Structures the response; it does not fabricate new results.
Rebuttal & Response (lang-rebuttal)
Two Language situations call for a structured reply: an R&R response letter answering referees on a research article, and an author Rejoinder replying to invited Commentaries in the Perspectives format. Both reward the same posture — engage every point fairly, concede what is right, and defend what you keep with data and predictions, not tone. This skill turns the letter into a plan; it does not invent results.
When to trigger
- You received a revise-and-resubmit or major/minor revisions decision
- You are writing a Rejoinder to Commentaries on a Perspectives target article
- You need to convert a stack of referee comments into a tracked, point-by-point response
- Reviewers disagree with each other and you must reconcile the paths
R&R response letter (structure)
- Open with the through-line. One short paragraph: what changed, and how the revision strengthens the central claim. Thank the reviewers without flattery.
- Point-by-point, verbatim. Quote each comment, then respond: Change made (with the new example/model/section and where it now lives) or Respectful pushback (with the reason and evidence). Number responses to match the letter.
- Show the new evidence. If a referee doubted the statistics, present the refit mixed-effects model and effect sizes; if they doubted a gloss, show the corrected, sourced example.
- Engage the rival framework. Where a referee raised a competing analysis, add the adjudicating prediction and test it — do not wave it away.
- Reconcile conflicting reviewers. State the trade-off openly and justify the path you took; the editor arbitrates.
Perspectives Rejoinder (structure)
- Group the Commentaries by the issue they raise, not one-by-one, so the reply reads as an argument.
- Concede the strong points — a Rejoinder that yields nothing reads as defensive; the format expects genuine dialogue.
- Defend the core thesis on the evidence and its predictions; restate scope conditions where a Commentary over-extended your claim.
- Close with what the exchange settled and what remains open for the field.
Show full SKILL.md (260 more words)Show less
Referee-response patterns and the venue-specific move
| Referee wrote… | The Language-specific response move |
|---|---|
| "Ignored the rival account." | add the adjudicating prediction; report the test result |
| "Statistics inadequate." | refit the justified mixed model; report estimates + intervals |
| "Data can't be checked." | source the glosses; post analysis data/code; cite the repo |
| "Overgeneralizes." | narrow the scope to the evidence; keep the mechanism |
| "Too framework-internal." | give the theory-neutral generalization; engage across traditions |
Calibration (Language revision culture, hedged)
Reflects the journal's collaborative revision norm, not a guarantee; confirm process on the author pages. A Language R&R usually asks you to broaden framework engagement, firm up the evidence, and scope the claim, and reviewers reward a revision that visibly does the work over one that argues it was already fine. Illustrative: a syntax R&R draws "engage the HPSG alternative and fix the acceptability stats." The productive letter adds an HPSG-vs-Minimalist prediction the author's judgments adjudicate, refits a mixed-effects model on the rating data with by-item random slopes, and narrows one universal claim to a well-supported tendency — quoting each comment and pointing to the changed section.
Anti-patterns
- Rebutting tone instead of substance; defensiveness in a Rejoinder the format expects to be a dialogue
- Waving away a rival framework a reviewer raised, rather than testing the deciding prediction
- Claiming a statistical fix without actually refitting the model
- Silent changes not mapped to the comment that prompted them
- Conceding so much the contribution dissolves, or so little the revision looks cosmetic
Output format
【Decision】minor / major-R&R / Perspectives Rejoinder
【Through-line】one sentence on how the revision strengthens the claim
【Point-by-point】each comment → change made / respectful pushback + where it now lives
【New evidence】refit model / corrected glosses / added rival test
【Framework engagement】rival account adjudicated? [Y/N]
【Conflicts reconciled】path chosen + justification for the editor
【Next】resubmit via ScholarOne (lang-submission for the clean-file recheck)Supplementary resources
../../resources/external_tools.md— modeling and glossing tooling to close reviewer gaps../../resources/official-source-map.md— Language review, Perspectives, and revision policy
© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in Language-Linguistic-Society-Skills/skills/lang-rebuttal of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Lang Rebuttal 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 |
|---|---|---|---|---|---|---|
| Lang Rebuttal this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Peer Reviewspacering-net/codeg | 3.9k | 17 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Scholar Evaluationspacering-net/codeg | 3.9k | 11 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence | |
| Academic Paper ReviewerImbad0202/academic-research-skills | 51k | — | ~11k | Automated safety check: Pass | Custom licence | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT |
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Categories
Questions about Lang Rebuttal
What does Lang Rebuttal do?
A skill your agent uses when responding to a Language (LSA) decision — a revise-and-resubmit response letter, or an author Rejoinder in the Perspectives target-article-and-commentaries format. Lang Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when responding to a Language (LSA) decision — a revise-and-resubmit response letter, or an author Rejoinder in the Perspectives target-article-and-commentaries format.
When should I use Lang Rebuttal?
Lang Rebuttal fits situations like: responding to a Language (LSA) decision — a revise-and-resubmit response letter; an author Rejoinder in the Perspectives target-article-and-commentaries format.
How do I install Lang Rebuttal in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lang-rebuttal -a claude-code`. Or copy the skill folder (Language-Linguistic-Society-Skills/skills/lang-rebuttal in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/lang-rebuttal in your project. Claude Code loads it when a task matches its description.
How do I install Lang Rebuttal in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lang-rebuttal -a codex`. Or copy the skill folder (Language-Linguistic-Society-Skills/skills/lang-rebuttal in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/lang-rebuttal in your project. Codex loads it when a task matches its description.
Can I use Lang Rebuttal 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/Awesome-Journal-Skills --skill lang-rebuttal -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lang-rebuttal, .gemini/skills/lang-rebuttal, .github/skills/lang-rebuttal and .opencode/skills/lang-rebuttal in your project.
What does Lang Rebuttal need to run?
SKILL.md names no scripts, command-line tools or credentials: Lang Rebuttal is instructions for the agent only.
Does Lang Rebuttal 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 Lang Rebuttal 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 Lang Rebuttal use?
Lang Rebuttal is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Lang Rebuttal use?
About 1.3k tokens (SKILL.md is roughly 5.2k 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 Lang Rebuttal?
Skills that share tags, products or a category with Lang Rebuttal: Peer Review (spacering-net/codeg, 3.9k stars), Scholar Evaluation (spacering-net/codeg, 3.9k 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 Lang Rebuttal?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.