Peer Review
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
Orchestrate semi-automatic computational responses to peer review.
Install Review Response
$ npx skills add JCLiuGroup/AI-Computational-Chemist --skill review-response -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install JCLiuGroup/AI-Computational-Chemist 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/JCLiuGroup/AI-Computational-Chemist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/procedures/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/JCLiuGroup/AI-Computational-Chemist/tree/main/procedures/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/JCLiuGroup/AI-Computational-Chemist/tree/main/procedures/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 JCLiuGroup/AI-Computational-Chemist --skill review-response -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install JCLiuGroup/AI-Computational-Chemist review-response --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JCLiuGroup/AI-Computational-Chemist.git skills-src && mkdir -p .agents/skills && cp -r skills-src/procedures/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/JCLiuGroup/AI-Computational-Chemist/tree/main/procedures/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 JCLiuGroup/AI-Computational-Chemist --skill review-response -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install JCLiuGroup/AI-Computational-Chemist review-response --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JCLiuGroup/AI-Computational-Chemist.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/procedures/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/JCLiuGroup/AI-Computational-Chemist/tree/main/procedures/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/JCLiuGroup/AI-Computational-Chemist.git --path procedures/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 JCLiuGroup/AI-Computational-Chemist --skill review-response -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install JCLiuGroup/AI-Computational-Chemist review-response --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JCLiuGroup/AI-Computational-Chemist.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/procedures/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/JCLiuGroup/AI-Computational-Chemist/tree/main/procedures/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 JCLiuGroup/AI-Computational-Chemist 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 JCLiuGroup/AI-Computational-Chemist --skill review-response -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/JCLiuGroup/AI-Computational-Chemist.git skills-src && mkdir -p .github/skills && cp -r skills-src/procedures/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/JCLiuGroup/AI-Computational-Chemist/tree/main/procedures/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 JCLiuGroup/AI-Computational-Chemist --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 JCLiuGroup/AI-Computational-Chemist review-response --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JCLiuGroup/AI-Computational-Chemist.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/procedures/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/JCLiuGroup/AI-Computational-Chemist/tree/main/procedures/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.
Facts
- Skill name
review-response- GitHub stars
- 145
- Used in
- 1 other repo
- Token cost
- ~2.1k tokens
- SKILL.md length
- 885 words
- Files
- 27 (incl. references)
- Skills in repo
- 21
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Orchestrate semi-automatic computational responses to peer review.
- Works in 5 steps: Ingestion contract → Method baseline → Comment triage → …
- A manuscript and reviewer comments are provided and the agent must identify which comments require computation
- SKILL.md covers Phase 0 — Ingestion contract, Phase 1 — Method baseline, Phase 2 — Comment triage and Phase 3–4 — Execution and…, plus 3 more sections
- Runs Python scripts from its folder
What it does
Review Response is an agent skill from JCLiuGroup/AI-Computational-Chemist. Orchestrate semi-automatic computational responses to peer review. Use when a manuscript and reviewer comments are provided and the agent must identify which comments require computation, plan and run calculations consistent with the manuscript's methods, validate whether each result actually addresses the concern, and draft response-letter and SI material.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 32 other files, including reference files (for example `examples/README.md`, `examples/toy-contradicts-au-vs-cu/README.md` and `examples/toy-contradicts-au-vs-cu/escalation.md`).
It sits in Research & Science, covering Email writing and Peer review.
When your agent uses it
- A manuscript and reviewer comments are provided and the agent must identify which comments require computation
- Plan and run calculations consistent with the manuscripts methods
- Validate whether each result actually addresses the concern
- Draft response-letter and SI material
Example prompts
- “/review-response”
Requirements
- Python 3
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- Ingestion contract
- Method baseline
- Comment triage
- 4 — Execution and reviewer-bar validation
- Response semantics
What it can do on your machine
Read from SKILL.md and the folder at commit e27b555. 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
Ships script files (Python, from the files we listed), which the agent can run.
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
Review Response loads about 2.1k tokens when it runs, and up to ~6.3k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 885 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 885 words (~2,112 tokens).
“This procedure owns reviewer-comment triage, method consistency, per-comment satisfaction criteria, scientific outcome semantics, and response-package decisions. It coordinates literature-to-calculation, comp-chem-workflow, research-orchestrator, engine skills, and report; it does not replace them or run engines itself.”
- name
- review-response
Files
SKILL.md and 26 other files (references) in procedures/review-response of JCLiuGroup/AI-Computational-Chemist.
- SKILL.md
- examples/README.md
- examples/toy-contradicts-au-vs-cu/README.md
- examples/toy-contradicts-au-vs-cu/escalation.md
- examples/toy-contradicts-au-vs-cu/expected-output.md
- examples/toy-contradicts-au-vs-cu/inputs/manuscript.md
- examples/toy-contradicts-au-vs-cu/inputs/reviews.md
- examples/toy-contradicts-au-vs-cu/method-fingerprint.md
- examples/toy-contradicts-au-vs-cu/response-workflow.md
- examples/toy-contradicts-au-vs-cu/scripts/vacancy.py
- examples/toy-contradicts-au-vs-cu/triage.md
- examples/toy-vacancy-pt-vs-au/README.md
- examples/toy-vacancy-pt-vs-au/expected-output.md
- examples/toy-vacancy-pt-vs-au/inputs/manuscript.md
- examples/toy-vacancy-pt-vs-au/inputs/reviews.md
- … and 12 more
Open the folder on GitHubat commit e27b555
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in JCLiuGroup/AI-Computational-Chemist, which our catalogue first saw on October 7, 2026.
Compare with similar skills
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 skillJCLiuGroup/AI-Computational-Chemist | 145 | 1 repos | ~2.1k | Automated safety check: Pass | Custom licence | |
| Peer Reviewspacering-net/codeg | 3.8k | 18 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Scholar Evaluationspacering-net/codeg | 3.8k | 12 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence | |
| LLM Counciltenfoldmarc/llm-council-skill | 819 | 2 repos | ~4.2k | Automated safety check: Pass | None | |
| Academic Paper ReviewerImbad0202/academic-research-skills | 51k | — | ~11k | Automated safety check: Pass | Custom licence |
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LLM Council
tenfoldmarc/llm-council-skill
Run any question, idea, or decision through a council of 5 AI advisors who independently analyze it, peer-review each other anonymously, and synthesize a final verdict.
Academic Paper Reviewer
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Simulates a journal peer review of a manuscript with a five-seat reviewer panel, an editorial synthesizer and several review modes.
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Related
Categories
Questions about Review Response
What does Review Response do?
Orchestrate semi-automatic computational responses to peer review. Review Response is an agent skill from JCLiuGroup/AI-Computational-Chemist. Orchestrate semi-automatic computational responses to peer review.
When should I use Review Response?
Review Response fits situations like: A manuscript and reviewer comments are provided and the agent must identify which comments require computation; plan and run calculations consistent with the manuscripts methods; validate whether each result actually addresses the concern; draft response-letter and SI material.
How do I install Review Response in Claude Code?
Run `npx skills add JCLiuGroup/AI-Computational-Chemist --skill review-response -a claude-code`. Or copy the skill folder (procedures/review-response in JCLiuGroup/AI-Computational-Chemist) into .claude/skills/review-response in your project. Claude Code loads it when a task matches its description.
How do I install Review Response in Codex?
Run `npx skills add JCLiuGroup/AI-Computational-Chemist --skill review-response -a codex`. Or copy the skill folder (procedures/review-response in JCLiuGroup/AI-Computational-Chemist) into .agents/skills/review-response in your project. Codex loads it when a task matches its description.
Can I use Review 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 JCLiuGroup/AI-Computational-Chemist --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.
What does Review Response need to run?
Going by SKILL.md and its folder, Review Response needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Review 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 Review Response 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 Review Response use?
Review 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 Review Response use?
About 2.1k tokens (SKILL.md is roughly 8.4k 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 4.2k tokens, read only when the agent opens those files.
What are the alternatives to Review Response?
Skills that share tags, products or a category with Review Response: Peer Review (spacering-net/codeg, 3.8k stars), Scholar Evaluation (spacering-net/codeg, 3.8k stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars) and LLM Council (tenfoldmarc/llm-council-skill, 819 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Review Response?
JCLiuGroup (a GitHub organization) maintains it in JCLiuGroup/AI-Computational-Chemist, which has 145 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on September 27, 2026.
Source: JCLiuGroup/AI-Computational-Chemist on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.