fork-skill-digest

Fork configuration divergence occurs when a fork's settings deviate from the upstream repository's standard parameters. This Skill detects these variances by comparing enabled/disabled states, variables, models, and schedule overrides against the ingested upstream defaults.

You can identify fork-only skills by running a cross-fork configuration analysis that surfaces skills present in forks but absent from upstream defaults. This Skill highlights these exclusive configurations to help operators review them for potential standardization.

The best way to generate a weekly summary of fork misalignments is to automate divergence tracking and compile the results into a digest article. This Skill ranks forks by configuration impact and produces a digest article with notifications to inform stakeholders about variance patterns.

No specific dependencies or components are required to run the fork divergence analysis. You only need to decide the target repository and run the digest to automatically fetch active forks, parse their configurations, and generate the weekly divergence report.