requesting-red-team-review
Use after completing an analysis or before reporting a finding, to have a skeptical reviewer attack the conclusion before you believe it
npx skills add K-Dense-AI/science-superpowers --skill requesting-red-team-review --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Requesting Red-Team Review Dispatch a reviewer subagent whose explicit job is to find why your conclusion is wrong — before you believe it or report it. The reviewer gets precisely crafted context for evaluation, never your session's history. This keeps it focused on the work product and your reasoning, not on agreeing with you, and preserves your own context. **Core principle:** Try hardest to break a finding when it's most likely to be right. A result that survives a genuine attack is worth reporting; one that hasn't been attacked isn't. ## When to Request Review **Mandatory:** - After each analysis step in subagent-driven-analysis (the rigor reviewer plays this role per step) - After completing the full analysis, before writing it up - Before claiming any confirmatory finding **Especially valuable:** - When the result is surprising, important, or convenient - When performance is suspiciously good (possible leakage) - After resolving an anomaly ## How to Request **1. Get the git SHAs that bound the work:** ```bash BASE_SHA=$(git rev-parse HEAD~N) # before the analysis HEAD_SHA=$(git rev-parse HEAD) ``` **2. Dispatch the reviewer subagent** with the Task tool (general-purpose),
- When to Request Review
- How to Request
- What the Reviewer Attacks
- Example
- Red Flags
- Integration
What does the requesting-red-team-review skill do?
Use after completing an analysis or before reporting a finding, to have a skeptical reviewer attack the conclusion before you believe it
How do I install it?
Run `npx skills add K-Dense-AI/science-superpowers --skill requesting-red-team-review --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From K-Dense-AI/science-superpowers, a repository with 280 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.