
Kill Argument
Two-thread adversarial review: a fresh reviewer constructs the strongest 200-word...
Install
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill kill-argument -g -a claude-code -y- Repository
- wanshuiyin/Auto-claude-code-research-in-sleep18.4k
- Category
- Engineering
- Updated
- 4d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
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.
Kill Argument Exercise: Adversarial Attack-Defense Review
Before each reviewer slot, follow Selectable Reviewers: resolve invocation →
.aris/reviewer.json→ Claude Code default (Codex MCP) withreviewer_route.pythrough the canonical helper resolver, preserving this slot's tier, fresh contexts, source/image inputs and deterministic gates. Codex examples/pins below apply only tobackend=codex; other routes use their own first-call/reply contract. Save the route and actual returned identity; unavailable selections areREVIEW_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, orCronCreate. 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. Seeshared-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.
