Academic Paper Writing Pipeline
Imbad0202/academic-research-skills
Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.
A skill your agent uses when a Journal of Risk and Uncertainty (JRU) decision letter has arrived and you need a response-letter strategy.
Install Jru Rebuttal
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jru-rebuttal -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jru-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/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-rebuttal .claude/skills/jru-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 "jru-rebuttal" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-rebuttal into .claude/skills/jru-rebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jru-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/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-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 jru-rebuttal -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jru-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/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-rebuttal .agents/skills/jru-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 "jru-rebuttal" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-rebuttal into .agents/skills/jru-rebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jru-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 jru-rebuttal -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jru-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/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-rebuttal .cursor/skills/jru-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 "jru-rebuttal" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-rebuttal into .cursor/skills/jru-rebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jru-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 Journal-of-Risk-and-Uncertainty-Skills/skills/jru-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 jru-rebuttal -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jru-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/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-rebuttal .gemini/skills/jru-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 "jru-rebuttal" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-rebuttal into .gemini/skills/jru-rebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jru-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 jru-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 jru-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/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-rebuttal .github/skills/jru-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 "jru-rebuttal" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-rebuttal into .github/skills/jru-rebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jru-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 jru-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 jru-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/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-rebuttal .opencode/skills/jru-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 "jru-rebuttal" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-rebuttal into .opencode/skills/jru-rebuttal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jru-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
jru-rebuttal- GitHub stars
- 1.2k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 904 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when a Journal of Risk and Uncertainty (JRU) decision letter has arrived and you need a response-letter strategy.
- Works in 5 steps: Open with a brief, genuine summary of… → Reproduce each comment verbatim, then… → For every "the model could be X / the… → …
- A Journal of Risk and Uncertainty (JRU) decision letter has arrived and you need a response-letter strategy
- SKILL.md covers When to trigger, How JRU decisions work and how…, Building the response and Handling the recurring JRU…, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Jru Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when a Journal of Risk and Uncertainty (JRU) decision letter has arrived and you need a response-letter strategy. Triages referee reports into a revision plan and reply; it does not invent evidence or citations.
Its SKILL.md is about 1.7k 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 and Citation management. 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
- A Journal of Risk and Uncertainty (JRU) decision letter has arrived and you need a response-letter strategy
- Tasks that involve Peer review
- Tasks that involve Citation management
Example prompts
- “/jru-rebuttal”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Open with a brief, genuine summary of what changed and where the headline result now stands (did the parameter move? by how much?).
- Reproduce each comment verbatim, then respond point-by-point; quote the revised manuscript text and give line/section pointers.
- For every "the model could be X / the estimate is fragile" comment, show the new analysis and whether the sign and rough magnitude of the…
- Be candid where a concern is right: narrow the claim rather than defending an overreach — JRU referees reward calibrated claims.
- Keep the tone collegial and technical; the reviewers are peers in a small specialized field.
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
Jru Rebuttal loads about 1.7k tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 904 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). 904 words, ~1,729 tokens.
Download SKILL.mdSave it as
.claude/skills/jru-rebuttal/SKILL.md (or your agent's skills folder).- name
- jru-rebuttal
- description
- Use when a Journal of Risk and Uncertainty (JRU) decision letter has arrived and you need a response-letter strategy. Triages referee reports into a revision plan and reply; it does not invent evidence or citations.
Rebuttal Strategy (jru-rebuttal)
When to trigger
- A JRU decision arrived (R&R, major/minor revision, or reject-and-resubmit) and the team needs a response plan
- Referees disagree — one wants more theory, another wants more robustness — and you must reconcile them
- A report rests on a misreading and you must correct it without sounding defensive
- A requested analysis (a new elicitation, a robustness re-estimate) is large and you must scope what is feasible
How JRU decisions work and how to read them
JRU's referees are specialists, so a report usually contains a few deep, technical objections rather than many shallow ones — and the editor (W. Kip Viscusi) weights the substantive decision-theoretic or measurement concerns heavily. Triage before drafting:
| Comment type | Response move |
|---|---|
| Goes to the headline primitive (representation, identification, key parameter) | Address fully and first — new analysis if needed; this decides the paper |
| A specialist's standard demand (separate u from w; selection probe; second elicitation device) | Run it; report the result even if it slightly moves the estimate |
| Misreading of the model or the design | Correct precisely, quote the text, and add a clarifying sentence to the paper so the next reader does not misread |
| Disagreement between referees | Make the editor's job easy: state the tradeoff, choose, justify, and note you have satisfied the binding concern |
| Scope expansion beyond the paper | Decline gracefully with a reason; offer a smaller version if it strengthens the core |
Building the response
- Open with a brief, genuine summary of what changed and where the headline result now stands (did the parameter move? by how much?).
- Reproduce each comment verbatim, then respond point-by-point; quote the revised manuscript text and give line/section pointers.
- For every "the model could be X / the estimate is fragile" comment, show the new analysis and whether the sign and rough magnitude of the primitive survived (route through
jru-robustness/jru-identificationfor the actual work). - Be candid where a concern is right: narrow the claim rather than defending an overreach — JRU referees reward calibrated claims.
- Keep the tone collegial and technical; the reviewers are peers in a small specialized field.
Handling the recurring JRU objections in a reply
The same specialist objections that jru-referee-strategy wargames tend to reappear in reports; each has a response pattern that lands well at this journal:
- "The representation is unfalsifiable / the reference point is fit." Show the revised model fixes the reference point a priori and name the choice pattern it now forbids — do not argue the point in the abstract, demonstrate it in the text.
- "The elicitation is not incentive-compatible." Either add the second device that replicates the parameter, or state the IC assumptions and bound the bias; concede if the mechanism truly presumes EU and the agents are non-EU.
- "EU with a pessimistic belief explains this." Report the discriminating comparative static and the new belief-controlled estimate.
- "Functional form drives the number." Point to the expanded robustness table and report the across-form stability in the letter, with the actual range of estimates.
Scoping a major revision
- Triage requested analyses into decisive (changes the verdict), strengthening (worth doing), and scope-creep (decline with reason).
- For a large new elicitation or estimation, state in the letter what you ran, the N or sample, and the result — editors at a specialist journal read methods carefully.
- If two referees pull in opposite directions, do not split the difference silently; name the tradeoff and justify the choice so the editor can adjudicate.
Show full SKILL.md (334 more words)Show less
Checklist
- Every referee point is reproduced and answered individually
- The comments touching the headline primitive are addressed first and in full
- New analyses report whether the sign/magnitude of the key parameter held
- Misreadings are corrected by quoting revised text, not just asserting the referee was wrong
- Referee disagreements are reconciled with an explicit, justified choice for the editor
- Claims are narrowed where the evidence demands it (no defensive overreach)
- The response letter points to specific revised sections/lines
Structure of the response document
A response letter that an editor can adjudicate quickly has a predictable shape:
- A one-page summary of changes at the top: the headline result's new status, the major new analyses, and where the parameter landed.
- Then a per-referee section, each comment quoted in italics and answered immediately below, with a pointer to the revised text ("see Section 4.2, lines X–Y").
- A short closing noting any concern you could not fully resolve and why, so the editor is not surprised by the limitations paragraph in the paper.
Number the responses to match the referees' own numbering; referees re-reading the paper want to find their point fast.
Anti-patterns
- Arguing with a referee instead of either fixing the paper or conceding cleanly
- Answering the easy comments fully and the headline objection vaguely
- Claiming a robustness check "confirms" the result when it actually shifted the estimate — report the shift
- Adding every requested analysis without a coherent story, bloating the paper
- A defensive tone in a small specialist field where the referee may review the paper again
Worked vignette (illustrative)
A referee writes: "Your ambiguity result is indistinguishable from risk aversion with pessimistic beliefs." Rather than argue, the response adds an independent belief-elicitation and a treatment that varies ambiguity at fixed risk, shows the ambiguity premium persists once beliefs are controlled, and revises the identification section to state this explicitly. The letter reports that α moved modestly (illustrative 0.62 → 0.58) but the qualitative claim is unchanged — a candid, calibrated reply the editor can act on.
Output format
【Journal】Journal of Risk and Uncertainty
【Skill】jru-rebuttal
【Decision】R&R / major / minor / reject-and-resubmit
【Headline-primitive comments】<list> → addressed first
【New analyses】parameter sign/magnitude held? [Y/N + numbers]
【Misreadings corrected】by quoting revised text [Y/N]
【Referee disagreement】reconciled choice for the editor
【Claims narrowed where needed】[Y/N]
【Next step】re-run jru-robustness / jru-identification for new analyses, then jru-submission to resubmit© 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 Journal-of-Risk-and-Uncertainty-Skills/skills/jru-rebuttal of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Jru 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 |
|---|---|---|---|---|---|---|
| Jru Rebuttal this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT | |
| Academic Research Suite for CodexImbad0202/academic-research-skills-codex | 12k | — | ~12k | Automated safety check: Pass | Custom licence | |
| Social Science Paper Writingfakerqwq/social-science-paper-writing-skill | 382 | — | ~7k | Automated safety check: Pass | None | |
| Review Papermaxwell2732/paper-replicate-agent-demo | 137 | 2 repos | ~1.1k | Automated safety check: Pass | None |
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Categories
Questions about Jru Rebuttal
What does Jru Rebuttal do?
A skill your agent uses when a Journal of Risk and Uncertainty (JRU) decision letter has arrived and you need a response-letter strategy. Jru Rebuttal is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when a Journal of Risk and Uncertainty (JRU) decision letter has arrived and you need a response-letter strategy.
When should I use Jru Rebuttal?
Jru Rebuttal fits situations like: A Journal of Risk and Uncertainty (JRU) decision letter has arrived and you need a response-letter strategy; tasks that involve Peer review; tasks that involve Citation management.
How do I install Jru Rebuttal in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jru-rebuttal -a claude-code`. Or copy the skill folder (Journal-of-Risk-and-Uncertainty-Skills/skills/jru-rebuttal in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jru-rebuttal in your project. Claude Code loads it when a task matches its description.
How do I install Jru Rebuttal in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jru-rebuttal -a codex`. Or copy the skill folder (Journal-of-Risk-and-Uncertainty-Skills/skills/jru-rebuttal in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jru-rebuttal in your project. Codex loads it when a task matches its description.
Can I use Jru 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 jru-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/jru-rebuttal, .gemini/skills/jru-rebuttal, .github/skills/jru-rebuttal and .opencode/skills/jru-rebuttal in your project.
What does Jru Rebuttal need to run?
SKILL.md names no scripts, command-line tools or credentials: Jru Rebuttal is instructions for the agent only.
Does Jru 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 Jru 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 Jru Rebuttal use?
Jru 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 Jru Rebuttal use?
About 1.7k tokens (SKILL.md is roughly 6.9k 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 Jru Rebuttal?
Skills that share tags, products or a category with Jru Rebuttal: Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars), Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), Academic Research Suite for Codex (Imbad0202/academic-research-skills-codex, 12k stars) and Social Science Paper Writing (fakerqwq/social-science-paper-writing-skill, 382 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Jru 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.