legitimacy-block
CommunityEnhance analytical output with traceable epistemic structure.
Data & Analytics#gap identification#analytical output#epistemic structure#claim status#dispute reporting
Authorrobwestz
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill appends an epistemic structure to analytical output, ensuring traceability of claims, dispute surfacing, and gap reporting.
Core Features & Use Cases
- Claims Table: Maps every claim to its status, confidence, and sources.
- Disputes: Identifies and surfaces disagreements between sources or claims.
- Gaps: Lists what was not examined and why it might matter.
- Grade Block: Provides a self-grade YAML block with coverage, confidence, verdict, and loop-back count.
- Optional Delta Summary: Includes assumptions, risks, and what was not verified.
- Use Case: When wrapping the output of a research report to ensure transparency and traceability of the analysis.
Quick Start
Trigger the legitimacy-block by using the command "add legitimacy block" on the output of the skill 'systematic-research'.
Dependency Matrix
Required Modules
pandasnumpyyaml
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: legitimacy-block Download link: https://github.com/robwestz/memoryporter/archive/main.zip#legitimacy-block Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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