lint-consistency

Classify lint consistency cohorts from lint_scan.json into duplicate or distinct groups.

Updated Mar 31, 2026
One-click install
npx skills add https://github.com/kamilseghrouchni/vcro-sourcing --skill lint-consistency
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lint-consistency
Source: https://github.com/kamilseghrouchni/vcro-sourcing/tree/main/.claude/skills/lint/consistency
Command: npx skills add https://github.com/kamilseghrouchni/vcro-sourcing --skill lint-consistency

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reads the consistency data from lint_scan.json to identify and classify candidate cohorts that share a parent_institution and modality, enabling informed merge decisions without altering source data.

Core Features & Use Cases

  • Evaluate candidate cohorts for real duplicates versus distinct waves or platforms.
  • Produce a concise decision report that captures the merge recommendation and provenance notes.
  • Operates in read-only mode, ensuring no changes to the source wiki data.

Quick Start

Run lint-consistency on a lint_scan.json to generate a single consistency decision report.

Frequently Asked Questions about lint-consistency

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

FAQPage Schema
How do I identify duplicate cohorts in lint_scan.json that share the same parent institution and modality?

To identify duplicate cohorts in lint_scan.json, evaluate candidate groups sharing the same parent_institution and modality to classify them as true duplicates, distinct waves, or separate entities, generating a non-destructive decision report.

What is the best way to resolve lint consistency candidates without modifying source data?

Resolving lint consistency candidates safely involves a read-only process that scans consistency sections and entity bodies to produce a merge decision report at a specified out_path, ensuring source data remains completely unmodified.

How does lint consistency classification distinguish between true duplicates and distinct waves?

Lint consistency classification distinguishes duplicates from distinct waves by evaluating candidate cohorts within lint_scan.json that share matching parent_institution and modality fields, then applying rules to determine if they are true duplicates or separate platforms.

Can I generate a merge decision report for lint cohorts without altering my original wiki data?

Yes, you can generate a merge decision report without altering wiki data because the process operates strictly in read-only mode, reading the consistency section and entity bodies to write a single report to out_path.

What limitations exist when evaluating lint consistency across different modalities?

A key limitation is that lint consistency evaluation only groups candidate cohorts sharing the exact same parent_institution and modality, meaning cohorts with differing modalities or parents are not classified as potential merge candidates.

Do I need a specific lint_scan.json structure to classify cohort merge candidates?

You need a lint_scan.json file containing a consistency section and entity bodies with parent_institution and modality fields, as the read-only process reads these specific structures to classify cohorts and output a merge recommendation report.