Agent skill

Rebuttal

by AI4Scientist in AI4Scientist/nano-scientist

Workflow 4: Submission rebuttal pipeline. An agent skill from AI4Scientist/nano-scientist.

No licenceAuto-check: notesResearch & Science

Install Rebuttal

skills CLI
$ npx skills add AI4Scientist/nano-scientist --skill rebuttal -a claude-code

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

GitHub CLI
$ gh skill install AI4Scientist/nano-scientist rebuttal --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/AI4Scientist/nano-scientist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/rebuttal .claude/skills/rebuttal && 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
rebuttal
GitHub stars
128
Used in
5 other repos
Token cost
~5.2k tokens
SKILL.md length
2,333 words
Files
1
Skills in repo
74
Repo updated
First seen
Licence
None found

At a glance

Workflow 4: Submission rebuttal pipeline. An agent skill from AI4Scientist/nano-scientist.

  • Works in 10 steps: Resume or Initialize → Validate Inputs and Normalize Reviews → Atomize and Classify Reviewer Concerns → …
  • User says rebuttal
  • SKILL.md covers Scope, Lifecycle Position, Constants and Required Inputs, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Rebuttal is an agent skill from AI4Scientist/nano-scientist. Workflow 4: Submission rebuttal pipeline. Parses external reviews, enforces coverage and grounding, drafts a safe text-only rebuttal under venue limits, and manages follow-up rounds. Use when user says "rebuttal", "reply to reviewers", "ICML rebuttal", "OpenReview response", or wants to answer external reviews safely.

Its SKILL.md is about 5.2k 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. It works with Model Context Protocol. The repository describes itself as: An autonomous research agent that turns a topic into a peer-reviewed technical report.

When your agent uses it

  • User says rebuttal
  • Reply to reviewers
  • OpenReview response
  • Wants to answer external reviews safely

Example prompts

  • “rebuttal”
  • “reply to reviewers”
  • “ICML rebuttal”
  • “/rebuttal”

Requirements

  • Pre-approved tools (allowed-tools): Bash(*), Read, Grep, Glob, Write, Edit, Agent, Skill, mcp__codex__codex, mcp__codex__codex-reply

Workflow steps

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

  1. Resume or Initialize
  2. Validate Inputs and Normalize Reviews
  3. Atomize and Classify Reviewer Concerns
  4. Build Strategy Plan
  5. 5: Evidence Sprint (when AUTO_EXPERIMENT = true)
  6. Draft Initial Rebuttal
  7. Safety Validation
  8. Codex MCP Stress Test
  9. Finalize
  10. Follow-Up Rounds

What it can do on your machine

Read from SKILL.md and the folder at commit 7132192. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash(*)
    • Read
    • Grep
    • Glob
    • Write
    • Edit
    • Agent
    • Skill
    • mcp__codex__codex
    • mcp__codex__codex-reply

    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 markdown).

    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

Rebuttal loads about 5.2k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 2,333 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~5.2k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash(*), Read, Grep, Glob, Write, Edit, Agent, Skill, mcp__codex__codex, mcp__codex__codex-reply

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 2,333 words (~5,177 tokens).

“Prepare and maintain a grounded, venue-compliant rebuttal for: $ARGUMENTS”

— opening of SKILL.md by AI4Scientist
name
rebuttal
allowed-tools
Bash(*), Read, Grep, Glob, Write, Edit, Agent, Skill, mcp__codex__codex, mcp__codex__codex-reply
argument-hint
paper-path-or-review-bundle

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/rebuttal of AI4Scientist/nano-scientist.

Open the folder on GitHubat commit 7132192

Used in 5 other repositories

We found 9 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 5 other GitHub owners. This page covers the copy in AI4Scientist/nano-scientist, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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.

Rebuttal compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Rebuttal this skillAI4Scientist/nano-scientist1285 repos~5.2kAutomated safety check: NotesNone
Deep Researchjordan-gibbs/hyperresearch3.8k—~1.2kAutomated safety check: PassMIT
Annotate Paper54yyyu/zotero-mcp5.3k—~1.5kAutomated safety check: PassMIT
Paper Searchopenags/paper-search-mcp2.8k—~1.2kAutomated safety check: NotesMIT
NSFC Literature Review WriterHuiyuLi-2000/Chinese-Grant-Writer-Skills4391 repos~1.4kAutomated safety check: NotesMIT
Arxiv MCP Serverblazickjp/arxiv-mcp-server3.2k—~353Automated safety check: PassApache-2.0

Similar skills

  • Deep Research

    jordan-gibbs/hyperresearch

    Deep research with hyperresearch, for Claude Code and OpenAI Codex.

    3.8k GitHub stars~1.2k tokensUpdated today
    Research & ScienceAuto-check passed
  • Annotate Paper

    54yyyu/zotero-mcp

    Read the open paper and write study annotations into its PDF with zotero-cli - a context box on the title, a four-part summary on the abstract, role-coded abstract highlights, one box per figure…

    5.3k GitHub stars~1.5k tokensUpdated 3 days ago
    Research & ScienceAuto-check passed
  • Paper Search

    openags/paper-search-mcp

    Search, download, and read academic papers from 20+ sources (arXiv, PubMed, Semantic Scholar, CrossRef, etc).

    2.8k GitHub stars~1.2k tokensUpdated 9 days ago
    Research & ScienceAuto-check: notes
  • NSFC Literature Review Writer

    HuiyuLi-2000/Chinese-Grant-Writer-Skills

    Writes the research-status literature review and critique section of an NSFC grant proposal, backed by a bundled multi-source literature search.

    439 GitHub starsUsed in 1 repo~1.4k tokens
    Research & ScienceAuto-check: notes
  • Arxiv MCP Server

    blazickjp/arxiv-mcp-server

    A skill your agent uses when finding, comparing, reading, or monitoring arXiv papers, including requests for abstracts, citation graphs, original LaTeX, section-level technical details, or…

    3.2k GitHub stars~353 tokensUpdated 2 days ago
    Research & ScienceAuto-check passed
  • Nature Academic Search

    wp-a/nature-academic-search

    A skill your agent uses when users ask to 找文献、做文献检索、查论文、查临床试验、核验引用、去重文献、设计 PubMed/MeSH 检索式、追踪上下游引文、解析 DOI/PMID/PMCID/arXiv/OpenAlex/Semantic Scholar/NCT ID, 或导出 RIS、BibTeX、NBIB、ENW;also use for…

    304 GitHub stars~1.4k tokensUpdated 9 days ago
    Research & ScienceAuto-check passed

More from AI4Scientist/nano-scientist

All 74 skills in this repo
  • Formula Derivation

    AI4Scientist/nano-scientist

    Structures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a…

    128 GitHub starsUsed in 5 repos~2.3k tokens
    Auto-check passed
  • Paper Compile

    AI4Scientist/nano-scientist

    Compile LaTeX paper to PDF, fix errors, and verify output. An agent skill from AI4Scientist/nano-scientist.

    128 GitHub starsUsed in 5 repos~2.5k tokens
    Auto-check: notes
  • Paper Figure

    AI4Scientist/nano-scientist

    Generate publication-quality figures and tables from experiment results.

    128 GitHub starsUsed in 5 repos~2.9k tokens
    Auto-check: notes
  • Paper Navigator

    AI4Scientist/nano-scientist

    Find and read academic papers: disambiguate queries, discover papers (search, citation traversal, recommendations, arXiv monitoring, trending, GitHub search), evaluate (TLDR, citations, code, SOTA)…

    128 GitHub stars~7.7k tokensUpdated 4 mo ago
    Auto-check: notes
  • Proof Writer

    AI4Scientist/nano-scientist

    Writes rigorous mathematical proofs for ML/AI theory. An agent skill from AI4Scientist/nano-scientist.

    128 GitHub starsUsed in 5 repos~1.9k tokens
    Auto-check passed
  • Ablation Planner

    AI4Scientist/nano-scientist

    A skill your agent uses when main results pass result-to-claim (claimsupported=yes or partial) and ablation studies are needed for paper submission.

    128 GitHub starsUsed in 4 repos~1.3k tokens
    Auto-check: notes

Questions about Rebuttal

What does Rebuttal do?

Workflow 4: Submission rebuttal pipeline. An agent skill from AI4Scientist/nano-scientist. Rebuttal is an agent skill from AI4Scientist/nano-scientist. Workflow 4: Submission rebuttal pipeline.

When should I use Rebuttal?

Rebuttal fits situations like: user says rebuttal; reply to reviewers; openReview response; wants to answer external reviews safely.

How do I install Rebuttal in Claude Code?

Run `npx skills add AI4Scientist/nano-scientist --skill rebuttal -a claude-code`. Or copy the skill folder (skills/rebuttal in AI4Scientist/nano-scientist) into .claude/skills/rebuttal in your project. Claude Code loads it when a task matches its description.

How do I install Rebuttal in Codex?

Run `npx skills add AI4Scientist/nano-scientist --skill rebuttal -a codex`. Or copy the skill folder (skills/rebuttal in AI4Scientist/nano-scientist) into .agents/skills/rebuttal in your project. Codex loads it when a task matches its description.

Can I use 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 AI4Scientist/nano-scientist --skill 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/rebuttal, .gemini/skills/rebuttal, .github/skills/rebuttal and .opencode/skills/rebuttal in your project.

What does Rebuttal need to run?

SKILL.md names no scripts, command-line tools or credentials: Rebuttal is instructions for the agent only. Its frontmatter pre-approves these tools: Bash(*), Read, Grep, Glob, Write, Edit, Agent, Skill, mcp__codex__codex, mcp__codex__codex-reply.

Does 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 Rebuttal safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Rebuttal use?

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

How many tokens does Rebuttal use?

About 5.2k tokens (SKILL.md is roughly 21k 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 Rebuttal?

Skills that share tags, products or a category with Rebuttal: Deep Research (jordan-gibbs/hyperresearch, 3.8k stars), Annotate Paper (54yyyu/zotero-mcp, 5.3k stars), Paper Search (openags/paper-search-mcp, 2.8k stars) and NSFC Literature Review Writer (HuiyuLi-2000/Chinese-Grant-Writer-Skills, 439 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Rebuttal?

AI4Scientist (a GitHub organization) maintains it in AI4Scientist/nano-scientist, which has 128 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on June 3, 2026.

Source: AI4Scientist/nano-scientist on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.