Agent skill

Review Comment Decomposer

by haibarazz in haibarazz/awesome-codex-research

结合论文原文拆解审稿意见为最小可回应原子问题,规划补实验与回复构思两条工作线,归组共同关切,并输出带忠实中文翻译注释、每条 comment 一份建议逻辑和原子点英文小标题的可编译 LaTeX 回复骨架。用于返修规划、review decomposition、atomic concerns、rebuttal strategy 和回复信模板生成;完整回复正文留待作者后续撰写。

No licenceAuto-check: warningsDocuments & Office

Install Review Comment Decomposer

The automated check flagged lines worth reading first. See the safety section below.

skills CLI
$ npx skills add haibarazz/awesome-codex-research --skill review-comment-decomposer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install haibarazz/awesome-codex-research review-comment-decomposer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/haibarazz/awesome-codex-research.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/review-comment-decomposer .claude/skills/review-comment-decomposer && rm -rf skills-src

Use ~/.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/

Facts

Skill name
review-comment-decomposer
GitHub stars
100
Token cost
~1.1k tokens
SKILL.md length
196 words
Files
7 (incl. references, assets)
Skills in repo
9
Repo updated
First seen
Licence
None found

At a glance

结合论文原文拆解审稿意见为最小可回应原子问题,规划补实验与回复构思两条工作线,归组共同关切,并输出带忠实中文翻译注释、每条 comment 一份建议逻辑和原子点英文小标题的可编译 LaTeX 回复骨架。用于返修规划、review decomposition、atomic concerns、rebuttal strategy 和回复信模板生成;完整回复正文留待作者后续撰写。

  • Works in 6 steps: 读取和定位 → 最小原子问题 → 两条工作线 → …
  • Tasks that involve LaTeX
  • SKILL.md covers 配套材料与范围, 1. 读取和定位, 2. 最小原子问题 and 3. 两条工作线, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Review Comment Decomposer is an agent skill from haibarazz/awesome-codex-research. 结合论文原文拆解审稿意见为最小可回应原子问题,规划补实验与回复构思两条工作线,归组共同关切,并输出带忠实中文翻译注释、每条 comment 一份建议逻辑和原子点英文小标题的可编译 LaTeX 回复骨架。用于返修规划、review decomposition、atomic concerns、rebuttal strategy 和回复信模板生成;完整回复正文留待作者后续撰写。

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files and assets (for example `agents/openai.yaml`, `references/issue_extractor.yaml` and `references/provenance.md`).

It sits in Documents & Office, covering LaTeX. It works with LaTeX.

When your agent uses it

  • Tasks that involve LaTeX

Example prompts

  • “/review-comment-decomposer”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. 读取和定位
  2. 最小原子问题
  3. 两条工作线
  4. 每个 comment 一份参考逻辑
  5. LaTeX 输出
  6. 核验与停止

What it can do on your machine

Read from SKILL.md and the folder at commit e3ca125. 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 (its code samples are latex and bash).

    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 Comment Decomposer loads about 1.1k tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 53 tokens; SKILL.md has 196 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.2k

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: warnings

The automated check found patterns that need a careful read before installing.

  • WarningTells the agent its actions are pre-authorized / not to stop for confirmationSKILL.md:20
    - 不把建议补实验视为已授权运行,不预设实验会优于基线,不编造结果、文献或正文位置。

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 196 words (~1,131 tokens).

name
review-comment-decomposer

Read the full SKILL.md on GitHub

Files

SKILL.md and 6 other files (references, assets) in skills/review-comment-decomposer of haibarazz/awesome-codex-research.

  • SKILL.md
  • agents/openai.yaml
  • assets/latex-template/main.tex
  • assets/latex-template/paper.tex
  • references/issue_extractor.yaml
  • references/provenance.md
  • references/revision-planning.md

Open the folder on GitHubat commit e3ca125

Compare with similar skills

Review Comment Decomposer 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.

Review Comment Decomposer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review Comment Decomposer this skillhaibarazz/awesome-codex-research100—~1.1kAutomated safety check: WarnNone
Research Writingalfonso0512/research-writing-skill4901 repos~818Automated safety check: PassMIT
Paper WritingMLNLP-World/Paper-Writing-Tips4.7k—~630Automated safety check: PassNone
Evomath TaoEvoScientist/EvoSkills4782 repos~3.8kAutomated safety check: PassApache-2.0
PaperjurySpark-To-Paper-Skills/paperjury1.2k—~5.3kAutomated safety check: PassMIT
PDFzai-org/ZCode7.7k—~18kAutomated safety check: NotesProprietary

Similar skills

  • Research Writing

    alfonso0512/research-writing-skill

    科研论文写作助手,提供 30 个 Prompt 模板覆盖论文写作全流程. An agent skill from alfonso0512/research-writing-skill.

    490 GitHub starsUsed in 1 repo~818 tokens
    Documents & OfficeAuto-check passed
  • Paper Writing

    MLNLP-World/Paper-Writing-Tips

    学术论文写作检查与优化助手。基于 MLNLP-World 社区整理的论文写作技巧,帮助检查和优化学术论文。Use when: (1) 检查论文 LaTeX 格式和排版, (2) 优化公式符号使用, (3) 改进图表设计, (4) 润色英文学术表达, (5) 检查参考文献格式, (6) 投稿前终稿检查, (7) 用户询问论文写作技巧或规范。

    4.7k GitHub stars~630 tokensUpdated 15 days ago
    Documents & OfficeAuto-check passed
  • Evomath Tao

    EvoScientist/EvoSkills

    A skill your agent uses whenever the user submits a non-trivial mathematical claim that needs a rigorous proof or audit.

    478 GitHub starsUsed in 2 repos~3.8k tokens
    Documents & OfficeAuto-check passed
  • Paperjury

    Spark-To-Paper-Skills/paperjury

    Three modes for CS-conference papers (CVPR/ICCV/ECCV vision, ACL/EMNLP/NAACL NLP, ICLR/NeurIPS/ICML/AAAI ML).

    1.2k GitHub stars~5.3k tokensUpdated 1 mo ago
    Documents & OfficeAuto-check passed
  • PDF

    zai-org/ZCode

    Professional PDF toolkit covering four production workflows: reports, creative visuals, academic LaTeX, and existing PDF processing.

    7.7k GitHub stars~18k tokensUpdated yesterday
    Documents & OfficeAuto-check: notes
  • Thesis Defense PPTX Builder

    zouchenzhen/thesis-defense-pptx-skill

    Builds an editable thesis defense PowerPoint from a thesis PDF or LaTeX project while preserving a supplied university or lab template, then runs a visual quality check.

    266 GitHub stars~2.4k tokensUpdated 4 mo ago
    Documents & OfficeAuto-check passed

More from haibarazz/awesome-codex-research

All 9 skills in this repo
  • Autoresearch

    haibarazz/awesome-codex-research

    Run rigorous end-to-end autonomous ML and AI research after a user provides a dataset, target, and research budget.

    93 GitHub stars~2.2k tokensUpdated 18 days ago
    Auto-check passed
  • Cds Method Innovation

    haibarazz/awesome-codex-research

    Guide a complete baseline-first ML or computational data-science method-innovation project, from workspace and direction discovery through finding and running common and recent baselines, diagnosing…

    93 GitHub stars~715 tokensUpdated 18 days ago
    Auto-check passed
  • Autodl Remote

    haibarazz/awesome-codex-research

    A skill your agent uses when the host coding agent should control an AutoDL or SSH server from the local machine, run remote commands, and explicitly upload or download selected files.

    93 GitHub stars~2.7k tokensUpdated 18 days ago
    Auto-check passed
  • Autodl Remote Tmux

    haibarazz/awesome-codex-research

    A skill your agent uses when AutoDL Remote should run or monitor long remote jobs through tmux panes.

    93 GitHub stars~666 tokensUpdated 18 days ago
    Auto-check passed
  • Auto Exp

    haibarazz/awesome-codex-research

    Plan, execute, monitor, verify, compare, and document reproducible machine-learning experiments.

    93 GitHub stars~1.4k tokensUpdated 18 days ago
    Auto-check passed
  • Research Literature Review

    haibarazz/awesome-codex-research

    面向信息系统计算设计科学(CDS)研究,根据用户的数据、研究情境与研究问题,分别识别问题/理论视角和技术/算法两条文献对话线,检索并核验全文,制作可追溯的文献对话地图,最终澄清研究的最近邻、理论祖先、方法缺口与可辩护定位。适用于选题定位、相关工作规划、方法定位和后续综述;核心不是代写文献综述。

    100 GitHub stars~558 tokensUpdated 18 days ago
    Auto-check passed

Works with

Questions about Review Comment Decomposer

What does Review Comment Decomposer do?

结合论文原文拆解审稿意见为最小可回应原子问题,规划补实验与回复构思两条工作线,归组共同关切,并输出带忠实中文翻译注释、每条 comment 一份建议逻辑和原子点英文小标题的可编译 LaTeX 回复骨架。用于返修规划、review decomposition、atomic concerns、rebuttal strategy 和回复信模板生成;完整回复正文留待作者后续撰写。. Review Comment Decomposer is an agent skill from haibarazz/awesome-codex-research.

When should I use Review Comment Decomposer?

Review Comment Decomposer fits situations like: tasks that involve LaTeX.

How do I install Review Comment Decomposer in Claude Code?

Run `npx skills add haibarazz/awesome-codex-research --skill review-comment-decomposer -a claude-code`. Or copy the skill folder (skills/review-comment-decomposer in haibarazz/awesome-codex-research) into .claude/skills/review-comment-decomposer in your project. Claude Code loads it when a task matches its description.

How do I install Review Comment Decomposer in Codex?

Run `npx skills add haibarazz/awesome-codex-research --skill review-comment-decomposer -a codex`. Or copy the skill folder (skills/review-comment-decomposer in haibarazz/awesome-codex-research) into .agents/skills/review-comment-decomposer in your project. Codex loads it when a task matches its description.

Can I use Review Comment Decomposer 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 haibarazz/awesome-codex-research --skill review-comment-decomposer -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-comment-decomposer, .gemini/skills/review-comment-decomposer, .github/skills/review-comment-decomposer and .opencode/skills/review-comment-decomposer in your project.

What does Review Comment Decomposer need to run?

SKILL.md names no scripts, command-line tools or credentials: Review Comment Decomposer is instructions for the agent only.

Does Review Comment Decomposer 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 Comment Decomposer safe to install?

Our automated static check of SKILL.md flagged 1 warning(s): tells the agent its actions are pre-authorized / not to stop for confirmation. Read the flagged lines before installing; the check is not a guarantee either way.

What licence does Review Comment Decomposer use?

No licence was found for Review Comment Decomposer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Review Comment Decomposer use?

About 1.1k tokens (SKILL.md is roughly 4.5k 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 3.1k tokens, read only when the agent opens those files.

What are the alternatives to Review Comment Decomposer?

Skills that share tags, products or a category with Review Comment Decomposer: Research Writing (alfonso0512/research-writing-skill, 490 stars), Paper Writing (MLNLP-World/Paper-Writing-Tips, 4.7k stars), Evomath Tao (EvoScientist/EvoSkills, 478 stars) and Paperjury (Spark-To-Paper-Skills/paperjury, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review Comment Decomposer?

haibarazz (a GitHub user) maintains it in haibarazz/awesome-codex-research, which has 100 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on September 23, 2026.

Source: haibarazz/awesome-codex-research on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.