Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Systematic reviewer response workflow: parse comments, classify by severity, develop response strategy, write structured rebuttal.
$ npx skills add flonat/flonat-research --skill review-response -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install flonat/flonat-research review-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/flonat/flonat-research.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/review-response .claude/skills/review-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 "review-response" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/review-response into .claude/skills/review-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-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/flonat/flonat-research/tree/main/skills/review-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 flonat/flonat-research --skill review-response -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install flonat/flonat-research review-response --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/review-response .agents/skills/review-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 "review-response" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/review-response into .agents/skills/review-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-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 flonat/flonat-research --skill review-response -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install flonat/flonat-research review-response --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/review-response .cursor/skills/review-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 "review-response" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/review-response into .cursor/skills/review-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-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/flonat/flonat-research.git --path skills/review-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 flonat/flonat-research --skill review-response -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install flonat/flonat-research review-response --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/review-response .gemini/skills/review-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 "review-response" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/review-response into .gemini/skills/review-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-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 flonat/flonat-research review-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 flonat/flonat-research --skill review-response -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/review-response .github/skills/review-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 "review-response" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/review-response into .github/skills/review-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-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 flonat/flonat-research --skill review-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 flonat/flonat-research review-response --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/review-response .opencode/skills/review-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 "review-response" agent skill from https://github.com/flonat/flonat-research/tree/main/skills/review-response into .opencode/skills/review-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-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.
review-responseSystematic reviewer response workflow: parse comments, classify by severity, develop response strategy, write structured rebuttal.
Review Response is an agent skill from flonat/flonat-research. Systematic reviewer response workflow: parse comments, classify by severity, develop response strategy, write structured rebuttal. Use when asked to 'write rebuttal', 'respond to reviewers', 'draft review response', or 'handle R&R'.
Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `references/figure-interpretation.md`, `references/rebuttal-templates.md` and `references/response-strategies.md`).
It sits in Research & Science. The repository describes itself as: Shareable Claude Code + Codex infrastructure for PhD researchers — skills, agents, hooks, and rules for academic workflows. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit da27600. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Review Response loads about 3k tokens when it runs, and up to ~8.9k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 1,223 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.
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.
The full file from flonat/flonat-research at commit da27600, republished under its MIT licence (© flonat). 1,223 words, ~2,967 tokens.
.claude/skills/review-response/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Systematic workflow for responding to reviewer comments on academic papers. Covers the full cycle from parsing comments through to a polished rebuttal document.
1. Receive reviewer comments
2. Parse and classify each comment (Major / Minor / Typo / Misunderstanding)
2b. Re-audit the paper against its artifact (empirical papers)
3. Develop response strategy per comment (Accept / Defend / Clarify / Experiment)
4. Write structured responses
5. Tone check — every response must pass the tone checklist
6. Assemble final rebuttal documentRead all reviewer comments and classify each one:
| Type | Definition | Priority |
|---|---|---|
| Major | Core methodology, experimental design, results interpretation — requires substantive revision or new analysis | High |
| Minor | Clarifications, presentation improvements, additional discussion — does not affect core contribution | Medium |
| Typo | Spelling, grammar, formatting, reference errors | Low |
| Misunderstanding | Reviewer misread or missed something already in the paper — needs polite clarification | High |
Keyword signals for classification:
Priority order: Major > Misunderstanding > Minor > Typo
Present the full classification table to the user before proceeding to strategy.
Before assigning any strategy, check the submitted paper against the code, the run outputs and the replication package. Reviewers see the artifact too. A rebuttal that defends a claim the artifact contradicts does more damage than the original error.
If the re-audit finds a genuine error, stop and present it to the user before drafting, with the corrected figures and the claims that no longer hold. Whether and how to disclose it is his decision. When the audit was prompted by a reviewer's scrutiny, credit that scrutiny without implying the reviewer found the error. Trigger incident: 2026-09-23 ICSE #1402. A re-audit prompted by one reviewer's code inspection found a result-changing bug and four protocol-vs-implementation drifts that 25 logged pre-submission review passes (12 distinct checks) had missed.
For each classified comment, assign a strategy:
| Strategy | When to Use |
|---|---|
| Accept | Comment is valid, fix is feasible and improves the paper |
| Defend | Current approach has sound justification; provide evidence and reasoning |
| Clarify | Reviewer missed or misread existing content; point to it politely |
| Experiment | Reviewer requests additional analysis that is feasible and would strengthen the paper |
Decision flow:
Comment → Is the reviewer correct?
Yes → Is the fix feasible?
Yes → Accept
No → Accept principle + explain constraint + offer alternative
Partially → Accept valid part + Defend the rest with evidence
No (misunderstanding) → Clarify with specific location references
Requests new work → Is it feasible?
Yes → Experiment
No → Explain limitation + offer alternative analysisStrategy combinations (common in practice):
Full strategy library with templates: references/response-strategies.md
Each response follows this structure:
**Comment N.M**: [Reviewer's original comment, quoted verbatim]
**Response**: [Our substantive reply]
**Changes**: [Specific modifications with section/page/table references]Non-negotiable rules:
.tex at the cited location; never trust the comment tracker, an earlier letter draft, or memory of the edit. A promised change with no matching manuscript edit is either downgraded to an honest acknowledgment ("we discuss rather than change...") or flagged to the user as unfulfilled — a letter must never describe the manuscript as more revised than it is. Record the outcome per commitment in the tracker's Fulfillment Ledger (fulfilled / partial / not_fulfilled / acknowledgment_only; see templates/referee-comments/comment-tracker.md).Before finalising, run every response through this checklist:
Full tone guide with good/bad examples: references/tone-guidelines.md
# Response to Reviewers
We sincerely thank all reviewers for their valuable feedback. We have carefully
addressed all comments and made substantial revisions. Below we provide detailed
responses to each reviewer's comments.
---
## Response to Reviewer 1
### Major Comments
**Comment 1.1**: [verbatim]
**Response**: [reply]
**Changes**: [locations]
### Minor Comments
**Comment 1.2**: [verbatim]
**Response**: [reply]
**Changes**: [locations]
---
## Response to Reviewer 2
[same structure]
---
## Summary of Major Changes
1. [Change 1] (addressing Reviewer X, Comment Y)
2. [Change 2] (addressing Reviewers X and Z)
3. ...
We believe these revisions have significantly strengthened the manuscript.Consolidate: "We thank Reviewers 1 and 3 for raising this important point. We have [action] which addresses both concerns."
Acknowledge both perspectives: "After careful consideration, we have [chosen approach] because [reasons], which we believe addresses both reviewers' core concerns."
Full template library: references/rebuttal-templates.md
The skill produces a complete rebuttal document saved to the project's correspondence/ directory (or paper directory if no correspondence folder exists).
Naming convention: rebuttal-{venue}-{round}.md (e.g., rebuttal-jmp-r1.md)
Three templates live under templates/referee-comments/. Use them together
across a revision cycle:
| Template | Purpose | When |
|---|---|---|
reviewer-comments-verbatim.tex | Internal landscape doc with reviewer text quoted verbatim, one row per comment ID (R1-C1, R2-C3, …) | First, on receipt of reports |
comment-tracker.md | Triage + patch-plan table — type/priority/action/owner/status per comment ID | During planning (Steps 1–2) |
response-letter-ansrev.tex | Default LaTeX scaffold for the response letter. Uses the ansrev package: auto-numbers reviewers and comments, pulls labels/citations/quotes from the main paper via xr | When writing the formal response (Steps 3–5) |
rebuttal-{venue}-{round}.md above) — for venues that accept Markdown/plain-text uploads, internal review by co-authors, or quick R&Rs.response-letter-ansrev.tex — when the venue requires a typeset PDF response, when the main paper has many labels/citations the response needs to reference, or when reviewers will be assigned numbers and cross-referenced ("see our reply to Reviewer 1 Comment 3"). Strongly preferred for OR / Management Science / journals with structured R&R.response-letter-ansrev.textemplates/referee-comments/response-letter-ansrev.tex into the project's correspondence/ (or paper-{venue}/paper/) directory.templates/referee-comments/ansrev/{ansrev.sty,revquote.sty} next to it — these are vendored from GitHub (not on CTAN). See templates/referee-comments/ansrev/README.md for provenance..latexmkrc unchanged. Copy templates/referee-comments/ansrev/.latexmkrc.local beside it so latexmk auto-recompiles the main paper for xr cross-refs. If .latexmkrc.local already exists, merge the custom dependency into that supplement rather than overwriting it.main={<main-file-basename>} in the scaffold's \usepackage{ansrev} options.R1-C1, AE-C2) as \label{}s inside each \QA{}{} — \ref{R1-C1} elsewhere expands to "Reviewer 1 Comment #1".proofread on the rebuttal document itself for tone and clarityreferences/review-classification.md — Classification criteria with keyword signalsreferences/response-strategies.md — Strategy library with templates for each typereferences/rebuttal-templates.md — Full rebuttal document templatesreferences/tone-guidelines.md — Tone guide with good/bad expression pairsreferences/figure-interpretation.md — Figure interpretation guide (useful when discussing figures in responses)galaxy-dawn/claude-scholar review-response skill, adapted for general academic research (not ML-specific).
© flonat, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (references) in skills/review-response of flonat/flonat-research.
Open the folder on GitHubat commit da27600
Review 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 |
|---|---|---|---|---|---|---|
| Review Response this skillflonat/flonat-research | 146 | — | ~3k | Automated safety check: Pass | MIT | |
| 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 |
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
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.
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.
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.
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
flonat/flonat-research
Create a large-format academic poster in LaTeX using beamerposter, tikzposter, or baposter.
flonat/flonat-research
Create, revise, and evaluate reusable AI workflow skills, including trigger-quality tests.
flonat/flonat-research
Create, read, edit, or convert Microsoft Word documents while preserving professional document structure.
flonat/flonat-research
Read, create, combine, split, rotate, OCR, watermark, secure, or extract content from PDF files.
flonat/flonat-research
Create or migrate project-level agents, repeatable project workflows, and planning state from one client-neutral contract, then render repository-scoped adapters for both Claude Code and Codex.
flonat/flonat-research
Deliver a fast pre-commit safety scan: file size, anonymity (author / affiliation strings in tex/bib), hardcoded secrets, and invisible-Unicode carriers.
Categories
Systematic reviewer response workflow: parse comments, classify by severity, develop response strategy, write structured rebuttal. Review Response is an agent skill from flonat/flonat-research. Systematic reviewer response workflow: parse comments, classify by severity, develop response strategy, write structured rebuttal.
Review Response fits situations like: asked to write rebuttal; respond to reviewers; draft review response.
Run `npx skills add flonat/flonat-research --skill review-response -a claude-code`. Or copy the skill folder (skills/review-response in flonat/flonat-research) into .claude/skills/review-response in your project. Claude Code loads it when a task matches its description.
Run `npx skills add flonat/flonat-research --skill review-response -a codex`. Or copy the skill folder (skills/review-response in flonat/flonat-research) into .agents/skills/review-response in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add flonat/flonat-research --skill review-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/review-response, .gemini/skills/review-response, .github/skills/review-response and .opencode/skills/review-response in your project.
SKILL.md names no scripts, command-line tools or credentials: Review Response is instructions for the agent only.
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.
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.
Review Response is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3k tokens (SKILL.md is roughly 12k 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 5.9k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Review 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.
flonat (a GitHub user) maintains it in flonat/flonat-research, which has 146 GitHub stars. The repository holds 83 skills in this directory. The repository was last updated on September 29, 2026.
Source: flonat/flonat-research on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.