What is an Evidence Contract Guard?

It is a built-in role that monitors the editing process to prevent the AI from inflating claims beyond what the existing citations and evidence snippets support.

What is the primary goal of the Draft Polisher?

The primary goal is to turn a first-pass, scaffolded draft into readable survey prose while strictly maintaining the 'evidence contract' by keeping citations and claims accurate.

Will this skill add or remove my citations?

No. A hard constraint of the Draft Polisher is that citation keys are immutable; it will not add, remove, or move citation keys across subsections.

How does it handle 'generator voice'?

It identifies and deletes narration openers like 'In this subsection we will...' and replaces them with content-bearing argument bridges to make the writing feel more natural.

Can I use this for non-English technical drafts?

Yes, it supports multilingual triggers like '润色' and is designed to improve coherence and terminology consistency regardless of the primary language.

Research Draft Polisher

Name: Research Draft Polisher
Author: WILLOSCAR

byWILLOSCAR

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Learning & Documentation

Refines technical research drafts by removing boilerplate, harmonizing prose, and ensuring evidence-backed citation integrity.

About

The Draft Polisher skill is a specialized tool for transforming structured, scaffold-like research drafts into cohesive, publication-ready prose. It operates using two primary roles: a Style Harmonizer that removes repetitive 'generator voice' and navigation phrases, and an Evidence Contract Guard that ensures claims never exceed the supporting evidence. By enforcing strict citation anchoring and terminology normalization, it helps researchers and developers produce high-quality surveys and documentation without compromising the integrity of the underlying source material.

Key Features

89 GitHub stars
Removes pipeline boilerplate and repetitive template navigation phrases.
Harmonizes prose style to ensure a consistent, single-author voice.
Normalizes technical terminology and concepts across the entire document.
Enforces strict citation anchoring within specific subsections to prevent drift.
Prevents evidence inflation by automatically qualifying or weakening unsupported claims.

Use Cases

Ensuring citation integrity and claim scoping in evidence-heavy technical documentation.
Polishing a technical survey generated from a research pipeline or multiple data sources.
Converting a structured markdown draft into human-grade prose for a whitepaper or report.

About

Key Features

89 GitHub stars
Removes pipeline boilerplate and repetitive template navigation phrases.
Harmonizes prose style to ensure a consistent, single-author voice.
Normalizes technical terminology and concepts across the entire document.
Enforces strict citation anchoring within specific subsections to prevent drift.
Prevents evidence inflation by automatically qualifying or weakening unsupported claims.

Use Cases

Ensuring citation integrity and claim scoping in evidence-heavy technical documentation.
Polishing a technical survey generated from a research pipeline or multiple data sources.
Converting a structured markdown draft into human-grade prose for a whitepaper or report.