[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-82892":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":14,"subscribersCount":14,"size":14,"stars1d":15,"stars7d":16,"stars30d":17,"stars90d":14,"forks30d":14,"starsTrendScore":18,"compositeScore":19,"rankGlobal":9,"rankLanguage":9,"license":20,"archived":21,"fork":21,"defaultBranch":22,"hasWiki":23,"hasPages":21,"topics":24,"createdAt":9,"pushedAt":9,"updatedAt":25,"readmeContent":26,"aiSummary":27,"trendingCount":14,"starSnapshotCount":14,"syncStatus":28,"lastSyncTime":29,"discoverSource":30},82892,"awesome-rebuttal","xiongqi123123\u002Fawesome-rebuttal","xiongqi123123","a skill for rebuttal",null,"TeX",216,7,105,0,3,59,111,15,2.71,"MIT License",false,"main",true,[],"2026-06-12 02:04:29","\u003Cdiv align=\"center\">\n  \u003Cimg src=\"assets\u002Fimage\u002Fawesome-rebuttal.png\" alt=\"Awesome Rebuttal logo\" width=\"260\" \u002F>\n\n# Awesome Rebuttal\n\n**A project-level skill package for evidence-grounded academic rebuttal strategy and author-response drafting.**\n\n[English](README.md) · [简体中文](README_ZH.md)\n\n[![GitHub Repo](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FGitHub-xiongqi123123%2Fawesome--rebuttal-181717?logo=github)](https:\u002F\u002Fgithub.com\u002Fxiongqi123123\u002Fawesome-rebuttal)\n[![License: MIT](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-MIT-green.svg)](LICENSE)\n[![GitHub stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fxiongqi123123\u002Fawesome-rebuttal?style=social)](https:\u002F\u002Fgithub.com\u002Fxiongqi123123\u002Fawesome-rebuttal\u002Fstargazers)\n[![GitHub forks](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fforks\u002Fxiongqi123123\u002Fawesome-rebuttal?style=social)](https:\u002F\u002Fgithub.com\u002Fxiongqi123123\u002Fawesome-rebuttal\u002Fforks)\n[![Codex Skill](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCodex-Skill-blue)](SKILL.md)\n[![Claude Code](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FClaude%20Code-Compatible-orange)](AI_AGENT_INSTALL.md)\n[![Cursor](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FCursor-Rules%20Adapter-purple)](AI_AGENT_INSTALL.md)\n\n\u003C\u002Fdiv>\n\n---\n\n## What is this?\n\n`Awesome Rebuttal` is a global-installable, project-level skill for AI \u002F ML \u002F CV \u002F NLP \u002F Robotics paper rebuttals. It helps an AI coding assistant work inside a paper workspace, persist structured rebuttal memory, analyze reviewer concerns, plan supplementary experiments, and draft safe author responses under user-confirmed venue rules.\n\n## Disclaimer\n\nAwesome Rebuttal is **not affiliated with, endorsed by, or officially connected to** any conference, publisher, review platform, or submission system. It is an assistant workflow for organizing evidence and drafting rebuttal text; it does not guarantee acceptance and does not replace the author's responsibility. Before submitting, authors must independently verify the venue rules, anonymity requirements, factual claims, experimental numbers, formatting, and final uploaded files.\n\n## Highlights\n\n- **Skill-first architecture** — one `SKILL.md` entry with layered atomic capability files.\n- **Project-local state** — runtime memory, drafts, snapshots, templates, and logs stay under `.awesome-rebuttal\u002F` in each paper workspace.\n- **Review understanding** — normalize reviewer metadata, raw comments, atomic concerns, and common concern clusters.\n- **Strategy planning** — reason about rebuttal posture, priority concerns, reviewer-specific goals, and AC-facing decision facts.\n- **Experiment triage** — separate must-do, high-value optional, not-recommended, and infeasible rebuttal experiments.\n- **Format-aware drafting** — supports one-page PDF, OpenReview-style per-reviewer replies, global comments, hybrid responses, and Markdown+LaTeX comments.\n- **Safety gates** — block unsupported claims, fabricated results, unconfirmed venue permissions, hostile tone, and anonymity leaks.\n- **Optional Overleaf sync** — can guide LeafLink setup only when the user wants cloud\u002Flocal synchronization.\n\n## Installation\n\nThe published repository root is the skill package root. After cloning, the directory should contain `SKILL.md` directly.\n\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002Fxiongqi123123\u002Fawesome-rebuttal.git\ncd awesome-rebuttal\ntest -f SKILL.md\n```\n\n### Option A: install manually for Codex\n\n```bash\nCODEX_SKILLS_DIR=\"${CODEX_HOME:-$HOME\u002F.codex}\u002Fskills\"\nTARGET=\"$CODEX_SKILLS_DIR\u002Fawesome-rebuttal\"\nmkdir -p \"$CODEX_SKILLS_DIR\"\nrsync -a --exclude '.git\u002F' --exclude '.awesome-rebuttal\u002F' .\u002F \"$TARGET\"\u002F\n```\n\nRestart Codex after installation.\n\n### Option B: install manually for Claude Code\n\n```bash\nCLAUDE_SKILLS_DIR=\"$HOME\u002F.claude\u002Fskills\"\nTARGET=\"$CLAUDE_SKILLS_DIR\u002Fawesome-rebuttal\"\nmkdir -p \"$CLAUDE_SKILLS_DIR\"\nrsync -a --exclude '.git\u002F' --exclude '.awesome-rebuttal\u002F' .\u002F \"$TARGET\"\u002F\n```\n\nRestart or reload Claude Code after installation.\n\n### Option C: AI-assisted installation\n\nSend this installation guide link directly to a local AI coding assistant and ask it to follow the instructions:\n\n- GitHub view: https:\u002F\u002Fgithub.com\u002Fxiongqi123123\u002Fawesome-rebuttal\u002Fblob\u002Fmain\u002FAI_AGENT_INSTALL.md\n- Raw Markdown: https:\u002F\u002Fraw.githubusercontent.com\u002Fxiongqi123123\u002Fawesome-rebuttal\u002Fmain\u002FAI_AGENT_INSTALL.md\n\nSuggested prompt:\n\n```text\nPlease install Awesome Rebuttal by following this guide:\nhttps:\u002F\u002Fgithub.com\u002Fxiongqi123123\u002Fawesome-rebuttal\u002Fblob\u002Fmain\u002FAI_AGENT_INSTALL.md\nDo not overwrite existing files without backup.\n```\n\n### Option D: Cursor project rule\n\nCursor can use a project rule that points to this cloned or installed skill. See [`AI_AGENT_INSTALL.md`](AI_AGENT_INSTALL.md) for the minimal `.cursor\u002Frules\u002Fawesome-rebuttal.mdc` adapter.\n\n## Basic usage\n\nIn a paper rebuttal workspace, ask your AI assistant:\n\n```text\nUse Awesome Rebuttal to initialize this rebuttal workspace.\n```\n\nRecommended workspace layout:\n\n```text\n\u003Crebuttal-workspace>\u002F\n├── Code\u002F\n├── Paper\u002F\n├── Reference\u002F\n├── Temp\u002F\n└── .awesome-rebuttal\u002F\n    ├── memory\u002F\n    ├── drafts\u002F\n    ├── snapshots\u002F\n    ├── templates\u002F\n    ├── logs\u002F\n    └── cache\u002F\n```\n\nIf your workspace already has a different structure, the skill will map it non-destructively instead of forcing renames.\n\n## Host compatibility\n\n| Host | Status | Install style |\n|---|---|---|\n| Codex | Native skill package | copy to `~\u002F.codex\u002Fskills\u002Fawesome-rebuttal` |\n| Claude Code | Skill-compatible package | copy to `~\u002F.claude\u002Fskills\u002Fawesome-rebuttal` |\n| Cursor | Project rule adapter | create `.cursor\u002Frules\u002Fawesome-rebuttal.mdc` |\n| Other agents | Prompt\u002Freference package | point the agent to `SKILL.md` |\n\n\n## Included assets\n\n- Built-in fallback one-page LaTeX rebuttal template: [`assets\u002Fone-page-rebuttal-template\u002F`](assets\u002Fone-page-rebuttal-template\u002F)\n- Snapshot renderer: [`scripts\u002Frender_snapshot.py`](scripts\u002Frender_snapshot.py)\n- Memory schemas: [`references\u002Fmemory-schemas\u002F`](references\u002Fmemory-schemas\u002F)\n- Capability files: [`references\u002Fcapabilities\u002F`](references\u002Fcapabilities\u002F)\n\n## Safety policy\n\n`Awesome Rebuttal` should not:\n\n- invent experiment results, numbers, citations, reviewer positions, or venue permissions;\n- attack reviewers or imply bad faith;\n- bypass anonymity or venue rules;\n- over-promise future revisions;\n- insert LeafLink, local tooling instructions, or any other paper-irrelevant content into final submission-facing text.\n\n## License\n\nMIT License. See [`LICENSE`](LICENSE).\n\n## Star History\n\n\u003Ca href=\"https:\u002F\u002Fwww.star-history.com\u002F#xiongqi123123\u002Fawesome-rebuttal&Date\">\n  \u003Cpicture>\n    \u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\"https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=xiongqi123123\u002Fawesome-rebuttal&type=Date&theme=dark\" \u002F>\n    \u003Csource media=\"(prefers-color-scheme: light)\" srcset=\"https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=xiongqi123123\u002Fawesome-rebuttal&type=Date\" \u002F>\n    \u003Cimg alt=\"Star History Chart\" src=\"https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=xiongqi123123\u002Fawesome-rebuttal&type=Date\" \u002F>\n  \u003C\u002Fpicture>\n\u003C\u002Fa>\n","Awesome Rebuttal 是一个用于学术论文反驳策略和作者回复草拟的项目级技能包。其核心功能包括评审理解、策略规划、实验分类及格式化草拟等，能够帮助用户在论文工作空间内组织证据并起草反驳文本。采用技能优先架构，支持项目本地状态存储，确保所有运行时数据、草稿及日志都保存于每个论文工作空间下的特定目录中。此外，它还具备安全性检查功能，防止不实主张、未确认的会议权限等问题。适用于需要进行同行评议反馈应对的科研人员，特别是在人工智能、机器学习等领域撰写论文时使用。",2,"2026-06-11 04:09:33","CREATED_QUERY"]