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kill-argument

kill-argument is a skill for Claude Code from wanshuiyin/Auto-claude-code-research-in-sleep. It costs 88 tokens per session (6,386 once invoked), scanned A, original, MIT.

An adversarial paper review in which one reviewer builds the strongest case for rejection and another responds to it point by point.

In plain words
What is it for?
Use it to stress-test a paper before submission, prepare for hostile reviewer comments, and strengthen or narrow its claims.
Why use it?
It exposes the single argument most likely to undermine a paper and identifies important problems that remain unresolved.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents; mentions Claude Code; mentions Codex.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is **Before each reviewer slot**, follow [Selectable Reviewers](../shared-references/reviewer-backends.md):.

Part of the aris plugin — 87 skills, 1 command, 1 agent shipped together

not rated 19krepo +287 changed 19d ago A scan Snyk: passSkillSpector: pass 88 tokens original MIT

Good fit Use it to stress-test a paper before submission, prepare for hostile reviewer comments, and strengthen or narrow its claims.

Compare 6 skills from other repositories ↓
View source ↗ wanshuiyin/Auto-claude-code-research-in-sleep
About the project

ARIS is a collection of Markdown-based skills that define a workflow for autonomous machine-learning research, including idea discovery, experiment automation, and review loops. Researchers and AI coding agents use it across tools such as Claude Code, Codex, Cursor, and OpenClaw without depending on a single framework. The catalogue entries are ARIS workflow skills and agents.

wanshuiyin/Auto-claude-code-research-in-sleep · 19,107 stars · on GitHub

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep
agentmods
npx agentmods add skills/wanshuiyin/auto-claude-code-research-in-sleep/kill-argument

Made for: Claude Code.

Or install aris, the plugin that ships this one along with the rest of its 87 skills, 1 command, 1 agent.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for kill-argument

README.md
[![agentmods](https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/kill-argument/github.svg)](https://agentmods.dev/skills/wanshuiyin/auto-claude-code-research-in-sleep/kill-argument)
Your own site
<a href="https://agentmods.dev/skills/wanshuiyin/auto-claude-code-research-in-sleep/kill-argument"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/kill-argument/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for kill-argument

Your own site · 80×15
<a href="https://agentmods.dev/skills/wanshuiyin/auto-claude-code-research-in-sleep/kill-argument"><img src="https://agentmods.dev/badge/skills/wanshuiyin/auto-claude-code-research-in-sleep/kill-argument.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,386 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Snyk pass 7 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00088 $0.06386
Opus 5.5 $0.00035 $0.02554
Sonnet 5.5 $0.00018 $0.01277
Haiku 4.5 $0.00009 $0.00639

Measured 19d ago against content hash 96a106531c29, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

kill-argument scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 19d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

skills/kill-argument/SKILL.md · 453 lines

How it starts

The opening of the file, as written. The whole thing — 453 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Kill Argument Exercise: Adversarial Attack-Defense Review

Before each reviewer slot, follow Selectable Reviewers: resolve invocation → .aris/reviewer.json → Claude Code default (Codex MCP) with reviewer_route.py through the canonical helper resolver, preserving this slot's tier, fresh contexts, source/image inputs and deterministic gates. Codex examples/pins below apply only to backend=codex; other routes use their own first-call/reply contract. Save the route and actual returned identity; unavailable selections are REVIEW_UNAVAILABLE. Classify acceptance from actual families/completion/scope. Forward invocation reviewer/model/effort overrides to reviewer-bearing children. Generation workers are unchanged.

🔒 Do not wrap this skill in /loop, /schedule, or CronCreate. It is verdict-bearing — it produces an adversarial accept/reject verdict (attack → adjudication). Re-firing it on a wall-clock timer adds no new signal (the attack changes only when the paper changes). Schedule the external wait that precedes it — draft stable → then run this once before submission. See shared-references/external-cadence.md.

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

Why This Exists

Standard score-based reviews (/research-review, /auto-paper-improvement-loop) tend to produce balanced weakness lists. Each weakness gets ~equal attention, ranked CRITICAL > MAJOR > MINOR. Empirically, this misses one specific failure mode: the single most damaging argument a reviewer would write in a rejection paragraph — the one sentence that, if a senior area chair reads it, kills the paper.

A balanced reviewer might list "scope-overclaim risk" as MAJOR alongside 3-5 other MAJORs, never quite committing. An adversarial reviewer must commit: their entire job is to convince the area chair to reject in 200 words.

Read the full file on GitHub · 453 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 19d ago Changed 96a106531c29
  2. 24d ago Changed · +15 lines 182606e3397c
  3. 2mo ago Changed 7a222081ddd9
  4. 2mo ago First seen · 438 lines · 88 tokens per session scan A 074e7cb2baa9

Subscribe to this mod's changes

kill-argument is a skill published in the GitHub repository wanshuiyin/Auto-claude-code-research-in-sleep (19,107 stars, last pushed 2d ago), licensed MIT. It adds 88 tokens to every session and 6,386 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Claude CodeResearchai-researchautonomous-agentcodexmcpml-research
Related

kill-argument compared with skills from other repositories

kill-argument next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
kill-argumentwanshuiyin/Auto-claude-code-research-in-sleepSkill19k2d agoMITA88Claude Code
remote-compute-sshaipoch/open-scienceSkill5.5ktodayApache-2.0A52Claude Code, Codex
figure-styleaipoch/open-scienceSkill5.5ktodayApache-2.0A91Claude Code, Codex
ligandmpnnaipoch/open-scienceSkill5.5ktodayApache-2.0A100Claude Code, Codex
evo2aipoch/open-scienceSkill5.5ktodayApache-2.0A83Claude Code, Codex
ml-training-recipesOrchestra-Research/AI-Research-SKILLsSkill15k1mo agoMITA88Claude Code
experiment-tracking-swanlabOrchestra-Research/AI-Research-SKILLsSkill15k1mo agoMITA40Claude Code, Codex