evidence-selfloop

Analyze evidence artifacts to diagnose gaps and generate upstream TODO tasks.

497|38|Updated Jan 7, 2026
One-click install
npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill evidence-selfloop
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: evidence-selfloop
Source: https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/evidence-selfloop
Command: npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill evidence-selfloop

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps ensure your research writing is well-supported by identifying and diagnosing gaps in the evidence used, preventing the creation of hollow or unsubstantiated prose.

Core Features & Use Cases

  • Evidence Gap Analysis: Detects missing citations, insufficient evidence snippets, and weak comparisons within research drafts.
  • Root Cause Diagnosis: Pinpoints whether evidence issues stem from upstream data extraction, mapping, or binding stages.
  • Actionable TODOs: Generates a prioritized list of specific upstream tasks needed to strengthen evidence before writing can proceed effectively.
  • Use Case: When a draft section feels thin or a skill is blocked due to lack of evidence, this skill analyzes the existing artifacts to tell you exactly which prior step (e.g., re-running paper-notes or evidence-binder) needs to be fixed.

Quick Start

Run the evidence selfloop skill to analyze the current evidence artifacts and generate a TODO list for improving writing support.

Frequently Asked Questions about evidence-selfloop

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

FAQPage Schema
How do I identify evidence gaps in my research writing?

To identify evidence gaps in research writing, you analyze evidence artifacts to detect missing citations, insufficient snippets, and weak comparisons. This diagnoses issues in data extraction, binding, and mapping stages to prevent drafting hollow or unsubstantiated prose.

Why does my research draft feel thin and lack supporting data?

Your research draft feels thin due to evidence deficiencies in upstream extraction, binding, or mapping stages. Analyzing evidence artifacts pinpoints the exact root cause, generating actionable upstream tasks needed to strengthen supporting data before prose generation.

How do I fix missing citations and weak evidence comparisons before writing?

To fix missing citations and weak evidence comparisons before writing, run an evidence gap analysis on your research artifacts. This generates a prioritized TODO list of specific upstream tasks, ensuring you resolve evidence deficiencies before generating prose.

What is the best way to diagnose root causes of insufficient evidence in research?

The best way to diagnose root causes of insufficient evidence is to analyze research artifacts for binding and mapping stage issues. This pinpoints whether evidence problems stem from upstream data extraction or mapping, generating actionable tasks to improve writing quality.

When should I run an evidence gap analysis in my research workflow?

You should run an evidence gap analysis in your research workflow when a draft section feels blocked due to lack of evidence. Prioritize fixing these evidence deficiencies before prose generation to prevent creating hollow or unsubstantiated content.