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Skills/Git & Pull Requests
k-dense-ai avatar

Requesting Red Team Review

k-dense-ai/science-superpowers

This is a structured way to catch mistakes before you commit to a conclusion.

GitHub stars
202
last updated
Jun 1, 2026
View on GitHubSave

Install

$ npx -y skills add k-dense-ai/science-superpowers --skill requesting-red-team-review --agent claude-code

Installs into .claude/skills of the current project.

Sponsors

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What it does

You dispatch a separate subagent with just your analysis artifacts (bounded by git SHAs, not your full session history) and an explicit mandate to find what's wrong. The reviewer looks for confounds, leakage, assumption violations, and over-claiming. It's meant to be mandatory after completing analysis steps and before reporting findings, especially when results are suspiciously clean or convenient. The pattern borrows from adversarial review in research: a conclusion that survives a genuine attack is worth trusting, one that hasn't been attacked isn't. Critical issues block reporting, Important issues get fixed before writeup, and you're expected to verify rather than dismiss feedback that stings.

Files

Select a file.

Details

Repository
github.com/k-dense-ai/science-superpowers
Categories
Git & Pull Requests, Code Review & Quality
First seen
Jun 11, 2026

More from k-dense-ai/science-superpowers

All 15
  • Setting Up Reproducible Analysis
  • Subagent Driven Analysis
  • Surveying Prior Work
  • Using Science Superpowers
  • Verifying Results Before Claiming
  • Writing Science Skills
  • Designing The Analysis
  • Dispatching Parallel Investigations
  • Executing Analysis
  • Framing Research Questions
  • Investigating Anomalous Results
  • Preregistering Analysis
  • Receiving Critical Review
  • Reporting And Archiving Findings

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