quill

Reviews research papers, proposals, and claims with severity-ranked adversarial critique.

1|Updated Jun 1, 2026
One-click install
npx skills add https://github.com/kridaydave/My_Skills --skill quill-kridaydave
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: quill
Source: https://github.com/kridaydave/My_Skills/tree/main/quill
Command: npx skills add https://github.com/kridaydave/My_Skills --skill quill-kridaydave

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Research papers, grant proposals, and arguments often contain fatal flaws — unsupported leaps, missing controls, overclaims, reproducibility gaps — that only surface at peer review or after publication, when fixing them is expensive or impossible. ## Core Features & Use Cases - Adversarial Peer Review: Steelmans the central claim, attacks load-bearing assumptions, and hunts confounds, missing controls, and statistical smells the way a hostile-but-fair referee would. - Severity-Ranked Findings: Every objection is triaged as Fatal, Major, Minor, or Taste, with location, problem, and the fix that would resolve it, delivered worst-first in a structured verdict format. - Use Case: Before submitting a paper claiming a method outperforms baselines, run a review that flags the single-dataset evaluation, the 1.2% gain inside the noise band, and the missing significance test — then tells you exactly what to add or soften. ## Quick Start Ask Quill to review your paper or proposal the way a tough referee would and list the fatal and major flaws with fixes.

Frequently Asked Questions about quill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get my paper reviewed before submission?▼

Ask for an adversarial review of your paper before submission. The review steelmans your central claim, attacks each load-bearing assumption, and returns severity-ranked findings — Fatal, Major, Minor, Taste — each with the location, problem, and fix.

How to find flaws in a research argument or claim?▼

State the claim and request a stress-test. The review enumerates what would have to be true for the claim to hold, hunts alternative explanations and confounds, and checks whether the evidence supports the claim's strength.

Can this review a grant proposal, not just a paper?▼

Yes, grant proposals are a supported use case. The review checks feasibility argumentation, significance framing, and timeline credibility, flagging issues like missing preliminary results that would sink the proposal at panel review.

Does the review check reproducibility and statistics?▼

Yes, reproducibility is a first-class criterion: missing methods detail, unavailable data or code, and vague hyperparameter tuning are flagged. Statistical smells like uncorrected multiple comparisons or missing effect sizes are also flagged.

When should I not use adversarial peer review?▼

Avoid it for early brainstorming where ideas are not yet claims, or when you need copyediting rather than substantive critique. The review targets load-bearing flaws, not formatting or style polish.