Skill profile

kill-argument

Two-thread adversarial review: a fresh reviewer constructs the strongest 200-word rejection memo.

What this skill does for you

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.

Quoted from the skill description in the pinned source

Who made it

Publisherwanshuiyin

Repositoryauto-claude-code-research-in-sleep

Installs350as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the kill-argument skill from wanshuiyin/auto-claude-code-research-in-sleep.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 341f914024d270dc5c8fa51337d1ad38829273aa. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 341f914024d270dc5c8fa51337d1ad38829273aa. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 341f914024d270dc5c8fa51337d1ad38829273aa. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/wanshuiyin/auto-claude-code-research-in-sleep
Pinned skill file: View source at revision
Revision: 341f914024d270dc5c8fa51337d1ad38829273aa
Package hash: sha256:3338fa3cb6ccc5cf4c693e416119b6eb4d08654b5b302bb23dbe079ba47315f3
Licence: MIT