How does it help prevent 'hollow writing'?

It identifies sections that lack sufficient mapped evidence or rely too heavily on the same few papers, forcing a data-first approach to content structure.

Does this skill write the actual paper prose?

No, the Outline Refiner is a 'NO PROSE' tool. It is designed to audit the structure and evidence mapping to ensure the foundation is solid before any drafting begins.

Can I prevent the skill from overwriting my existing reports?

Yes, the skill respects a freeze policy. If a file named coverage_report.refined.ok exists, the script will not overwrite your current coverage report.

What files are required to run the Outline Refiner?

It requires an outline.yml and a mapping.tsv file. It can also optionally use paper notes and subsection briefs for deeper axis-specificity diagnostics.

Research Outline Auditor

Name: Research Outline Auditor
Author: WILLOSCAR

byWILLOSCAR

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数据科学与机器学习

Audits research outlines by analyzing evidence coverage and mapping redundancy to ensure a structured, verifiable foundation.

关于

The Outline Refiner acts as a deterministic 'planner pass' within research pipelines, providing an auditable diagnostic report on outline health without generating prose. It evaluates whether specific subsections have sufficient mapped evidence, identifies over-reliance on specific sources, and detects scope drift against project goals. By generating structured coverage reports and state logs, it prevents hollow writing and ensures that the final document structure is grounded in hard evidence before any drafting begins, making it essential for academic and technical writing workflows.

主要功能

Redundancy Detection: Identifies paper reuse hotspots to prevent repetitive citations across sections.
Deterministic Reporting: Produces auditable markdown tables and JSONL state logs with zero hallucinated prose.
Structural Auditing: Validates ToC budgets and section sizing for professional paper-like outputs.
96 GitHub stars
Evidence Coverage Analysis: Calculates the density of mapped papers and evidence per subsection.
Scope Drift Detection: Flags keywords in project goals that are not adequately reflected in the outline.

使用场景

Validating a literature review structure before drafting to ensure every claim has evidence.
Identifying research gaps in specific technical sub-topics by analyzing mapping density.
Optimizing section budgets and hierarchy for academic papers or technical whitepapers.

关于

主要功能

Redundancy Detection: Identifies paper reuse hotspots to prevent repetitive citations across sections.
Deterministic Reporting: Produces auditable markdown tables and JSONL state logs with zero hallucinated prose.
Structural Auditing: Validates ToC budgets and section sizing for professional paper-like outputs.
96 GitHub stars
Evidence Coverage Analysis: Calculates the density of mapped papers and evidence per subsection.
Scope Drift Detection: Flags keywords in project goals that are not adequately reflected in the outline.

使用场景

Validating a literature review structure before drafting to ensure every claim has evidence.
Identifying research gaps in specific technical sub-topics by analyzing mapping density.
Optimizing section budgets and hierarchy for academic papers or technical whitepapers.