Agent skill

Kill Argument

by AI4Scientist in AI4Scientist/nano-scientist

Two-thread adversarial review: a fresh reviewer constructs the strongest 200-word rejection memo, then a second fresh reviewer defends the paper point-by-point and surfaces still-unresolved critical…

No licenceAuto-check: notesResearch & Science

Install Kill Argument

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

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

GitHub CLI
$ gh skill install AI4Scientist/nano-scientist kill-argument --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/kill-argument .claude/skills/kill-argument && 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
kill-argument
GitHub stars
128
Used in
3 other repos
Token cost
~5.1k tokens
SKILL.md length
1,358 words
Files
1
Skills in repo
75
Repo updated
First seen
Licence
None found

At a glance

Two-thread adversarial review: a fresh reviewer constructs the strongest 200-word rejection memo, then a second fresh reviewer defends the paper point-by-point and surfaces still-unresolved critical…

  • Works in 5 steps: Discover paper files → Attack memo (Thread 1, fresh codex) → Adjudication memo (Thread 2, fresh codex… → …
  • User says kill argument
  • SKILL.md covers Why This Exists, How This Differs From Other…, When To Use and Constants, plus 6 more sections
  • Calls just

What it does

Kill Argument is an agent skill from AI4Scientist/nano-scientist. Two-thread adversarial review: a fresh reviewer constructs the strongest 200-word rejection memo, then a second fresh reviewer defends the paper point-by-point and surfaces still-unresolved critical issues. Use when user says "kill argument", "adversarial review", "hostile review", "rebuttal preparation", "reviewer-2 simulation", or before submitting a theory paper that has already passed standard review rounds.

Its SKILL.md is about 5.1k 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. 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 kill argument
  • Adversarial review
  • Rebuttal preparation
  • Reviewer-2 simulation

Example prompts

  • “kill argument”
  • “adversarial review”
  • “hostile review”
  • “/kill-argument”

Requirements

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

Workflow steps

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

  1. Discover paper files
  2. Attack memo (Thread 1, fresh codex)
  3. Adjudication memo (Thread 2, fresh codex with attack + paper)
  4. Write KILL_ARGUMENT.md and KILL_ARGUMENT.json
  5. Print summary

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
    • Write
    • Edit
    • Grep
    • Glob
    • mcp__codex__codex

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • just

    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

Kill Argument loads about 5.1k tokens when it runs. Until then it costs about 107 tokens; SKILL.md has 1,358 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~107
When it runs · the whole SKILL.md, loaded when a task matches
~5.1k

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, Write, Edit, Grep, Glob, mcp__codex__codex

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 1,358 words (~5,100 tokens).

“Stress-test the headline claims of a paper against the strongest possible rejection argument: $ARGUMENTS”

— opening of SKILL.md by AI4Scientist
name
kill-argument
allowed-tools
Bash(*), Read, Write, Edit, Grep, Glob, mcp__codex__codex
argument-hint
paper-directory

Read the full SKILL.md on GitHub

Files

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

Open the folder on GitHubat commit 7132192

Used in 3 other repositories

We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 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

Kill Argument 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.

Kill Argument compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Kill Argument this skillAI4Scientist/nano-scientist1283 repos~5.1kAutomated safety check: NotesNone
Hypothesis Generationspacering-net/codeg3.8k15 repos~3.6kAutomated safety check: NotesMIT
GitHub Deep Researchbytedance/deer-flow83k5 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills46k2 repos~2.1kAutomated safety check: PassApache-2.0
Read arXiv Paperkarpathy/nanochat58k2 repos~494Automated safety check: PassMIT
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT

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Questions about Kill Argument

What does Kill Argument do?

Two-thread adversarial review: a fresh reviewer constructs the strongest 200-word rejection memo, then a second fresh reviewer defends the paper point-by-point and surfaces still-unresolved critical…. Kill Argument is an agent skill from AI4Scientist/nano-scientist. Two-thread adversarial review: a fresh reviewer constructs the strongest 200-word rejection memo, then a second fresh reviewer defends the paper point-by-point and surfaces still-unresolved critical issues.

When should I use Kill Argument?

Kill Argument fits situations like: user says kill argument; adversarial review; rebuttal preparation; reviewer-2 simulation.

How do I install Kill Argument in Claude Code?

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

How do I install Kill Argument in Codex?

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

Can I use Kill Argument 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 kill-argument -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kill-argument, .gemini/skills/kill-argument, .github/skills/kill-argument and .opencode/skills/kill-argument in your project.

What does Kill Argument need to run?

Going by SKILL.md and its folder, Kill Argument needs the command-line tools its instructions call (just). Its frontmatter pre-approves these tools: Bash(*), Read, Write, Edit, Grep, Glob, mcp__codex__codex.

Does Kill Argument 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 Kill Argument 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 Kill Argument use?

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

How many tokens does Kill Argument use?

About 5.1k tokens (SKILL.md is roughly 20k 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 Kill Argument?

Skills that share tags, products or a category with Kill Argument: Hypothesis Generation (spacering-net/codeg, 3.8k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars), Nature Paper Card (Yuan1z0825/nature-skills, 46k stars) and Read arXiv Paper (karpathy/nanochat, 58k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Kill Argument?

AI4Scientist (a GitHub organization) maintains it in AI4Scientist/nano-scientist, which has 128 GitHub stars. The repository holds 75 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.