kill-argument

kill-argument is a skill for Claude Code from AutoConference/AutoConference-skill. It costs 88 tokens per session (6,093 once invoked), scanned A, a copy of kill-argument, Apache-2.0.

An adversarial paper review that first builds the strongest case for rejection and then checks whether the paper can answer it. It is designed to expose the single most damaging weakness in a research argument.

In plain words
What is it for?
Use it for hostile review, rejection-risk analysis, rebuttal preparation, and point-by-point examination of unresolved critical issues.
Why use it?
Ordinary review can spread attention across many issues without testing the one criticism most likely to determine the outcome.

Skill for Claude Code

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

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is [`shared-references/external-cadence.md`](../shared-references/external-cadence.md)..

Good fit Use it for hostile review, rejection-risk analysis, rebuttal preparation, and point-by-point examination of unresolved critical issues.

Compare 6 skills from other repositories ↓
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/AutoConference/AutoConference-skill
agentmods
npx agentmods add skills/autoconference/autoconference-skill/kill-argument

Made for: Claude Code.

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/autoconference/autoconference-skill/kill-argument/github.svg)](https://agentmods.dev/skills/autoconference/autoconference-skill/kill-argument)
Your own site
<a href="https://agentmods.dev/skills/autoconference/autoconference-skill/kill-argument"><img src="https://agentmods.dev/badge/skills/autoconference/autoconference-skill/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/autoconference/autoconference-skill/kill-argument"><img src="https://agentmods.dev/badge/skills/autoconference/autoconference-skill/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 6,093 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.
Origin 100% copy Near-identical to another mod 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 $0.06093
Opus 5.5 $0.00035 $0.02437
Sonnet 5 $0.00018 $0.01219
Haiku 4.5 $0.00009 $0.00609

Measured 3d ago against content hash 074e7cb2baa9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-28, 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 3d 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

This is a copy

100% identical to kill-argument — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/aris/kill-argument/SKILL.md · 438 lines

How it starts

The opening of the file, as written. The whole thing — 438 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Kill Argument Exercise: Adversarial Attack-Defense Review

🔒 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.

This skill runs that adversarial pass deliberately, then forces a second fresh reviewer to defend point-by-point, classify each rejection as already-fixed / partially-fixed / still-unresolved, and surface what's actually load-bearing.

Empirical motivation: in a real submission run, after several rounds of standard improvement (score 7-8/10), the kill-argument exercise surfaced framing weaknesses that no prior review caught (e.g., a setting being mostly conditional rather than truly general, or a baseline being irrelevant to real systems). Author rebuttal forced explicit scope qualifications in abstract and discussion that weren't visible from the score-based reviews alone.

Read the full file on GitHub · 438 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. 3d 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 AutoConference/AutoConference-skill (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 88 tokens to every session and 6,093 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to kill-argument, differing in 10 lines, and is treated as a copy.

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