
Receiving Critical Review
Use this when someone hands you reviewer feedback on your analysis or paper and you're about to start making changes. It's built around a verify-first pattern: restate the concern, check it against your actual data and pre-registration, then decide if the suggestion is correct for your setup. The part about pre-registration guard is solid: it catches when a well-meaning "improve this" comment would silently convert your confirmatory analysis into an exploratory one. Also enforces pushing back with technical reasoning when feedback would introduce bias, like conditioning on a collider. The forbidden responses section bans performative agreement phrases, which honestly needed saying.
- GitHub stars
- 202
- last updated
- Jun 1, 2026
Install
$ npx -y skills add k-dense-ai/science-superpowers --skill receiving-critical-review --agent claude-codeInstalls into .claude/skills of the current project.
Files
Receiving Critical Review
Overview
Critique of an analysis requires technical evaluation, not emotional performance.
Core principle: Verify before changing. Ask before assuming. Methodological correctness over social comfort.
A reviewer pointing at a confound is doing you a favor only if you check whether the confound is real. Reflexively agreeing — or reflexively defending — both skip the verification that makes review worthwhile.
The Response Pattern
WHEN receiving review feedback:
1. READ: The complete feedback without reacting
2. UNDERSTAND: Restate the methodological concern in your own words (or ask)
3. VERIFY: Check it against the data, code, and pre-registration
4. EVALUATE: Is it correct FOR THIS analysis?
5. RESPOND: Technical acknowledgment or reasoned pushback
6. ACT: One item at a time, re-running and re-verifying each
Forbidden Responses
NEVER:
- "You're absolutely right!" (before you've checked)
- "Great catch!" / "Excellent point!" (performative)
- "Let me fix that now" (before verification)
Sponsors
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- Reporting And Archiving Findings
- Requesting Red Team Review
- 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