Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add raja21068/AutoResearch --skill kill-argumentgit clone --depth 1 https://github.com/raja21068/AutoResearchWrote 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.
[](https://agentmods.dev/skills/raja21068/autoresearch/kill-argument)<a href="https://agentmods.dev/skills/raja21068/autoresearch/kill-argument"><img src="https://agentmods.dev/badge/skills/raja21068/autoresearch/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.
<a href="https://agentmods.dev/skills/raja21068/autoresearch/kill-argument"><img src="https://agentmods.dev/badge/skills/raja21068/autoresearch/kill-argument.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00088 | $0.05018 |
| Opus 5.5 | $0.00035 | $0.02007 |
| Sonnet 5.5 | $0.00018 | $0.01004 |
| Haiku 4.5 | $0.00009 | $0.00502 |
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 2mo 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.
This is a copy
86% identical to kill-argument — 104 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.
How it starts
The opening of the file, as written. The whole thing — 387 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kill Argument Exercise: Adversarial Attack-Defense Review
Stress-test the headline claims of a paper against the strongest possible rejection argument: $ARGUMENTS
Why This Exists
Standard score-based reviews (/peer-review, /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.
How This Differs From Other Review Skills
| Skill | What it asks the reviewer | Output |
|---|---|---|
/peer-review |
"Score this paper, list weaknesses by severity" | balanced weakness list |
/research-review |
"Deep technical review of methods + claims" | structured deep critique |
/proof-checker |
"Is this theorem actually proved?" | per-step proof obligation audit |
/paper-claim-audit |
"Does the paper report numbers truthfully?" | per-claim evidence verification |
/citation-audit |
"Are citations real and used in correct context?" | per-entry KEEP/FIX/REPLACE/REMOVE |
/kill-argument |
"Write the single strongest rejection paragraph; then defend it." | attack memo + per-point defense + unresolved surfaced |
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.
- 2mo ago First seen · 387 lines · 88 tokens per session scan A b0a23bb1e766
kill-argument is a skill published in the GitHub repository raja21068/AutoResearch (2 stars, last pushed 6mo ago), licensed MIT. It adds 88 tokens to every session and 5,018 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to kill-argument, differing in 104 lines, and is treated as a copy.
kill-argument compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| kill-argumentraja21068/AutoResearch | Skill | 2 | 6mo ago | MIT | A | 88 | Claude Code |
| content-refinement-agentAr9av/PaperOrchestra | Skill | 701 | 9d ago | none | A | 145 | Claude Code, Codex |
| literature-review-agentAr9av/PaperOrchestra | Skill | 701 | 9d ago | none | A | 149 | Claude Code, Codex |
| agent-research-aggregatorAr9av/PaperOrchestra | Skill | 701 | 9d ago | none | A | 177 | Claude Code, Codex |
| paper-orchestraAr9av/PaperOrchestra | Skill | 701 | 9d ago | none | A | 143 | Claude Code, Codex |
| section-writing-agentAr9av/PaperOrchestra | Skill | 701 | 9d ago | none | A | 125 | Claude Code, Codex |
| plotting-agentAr9av/PaperOrchestra | Skill | 701 | 9d ago | none | A | 102 | Claude Code, Codex |