fork-skill-digest

Compare fork aeon.yml configurations against upstream defaults and rank forks by overrides.

Updated Jun 3, 2026
One-click install
npx skills add https://github.com/swarm-ai-research/aeon --skill fork-skill-digest-swarm-ai-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fork-skill-digest
Source: https://github.com/swarm-ai-research/aeon/tree/main/skills/fork-skill-digest
Command: npx skills add https://github.com/swarm-ai-research/aeon --skill fork-skill-digest-swarm-ai-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Weekly cross-fork customization digest — surfaces where the fleet's enable/disable/var/model decisions diverge from upstream defaults

Core Features & Use Cases

  • Surf and quantify divergence signals across forks to guide upstream defaults and fleet configurations.
  • Track per-skill overrides (enabled, var, model, schedule) and identify fork-only experiments for upstream review.
  • Provide week-over-week tracking and a synthesized verdict for leadership.

Quick Start

Run the fork-skill-digest workflow to scan the fleet forks and compare against upstream defaults.

Frequently Asked Questions about fork-skill-digest

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

FAQPage Schema
How do I track fork divergence from upstream defaults across a fleet?

Track fork divergence by comparing each fork's aeon.yml against upstream defaults. This skill quantifies per-skill overrides for enabled, var, model, and schedule configurations, aggregating signals into defined buckets and ranking forks by total overrides.

What is fork divergence analysis in YAML configuration management?

Fork divergence analysis identifies and quantifies where customized YAML configurations deviate from upstream defaults. It scans active forks, detects enabled, disabled, var, model, and schedule overrides, and surfaces fork-only experiments for upstream consideration.

How do I compare aeon.yml configurations against upstream defaults?

Compare aeon.yml files by reading each fork's configuration and matching it against UPSTREAM_DEFAULTS. The process aggregates divergence signals into buckets, summarizes per-skill overrides, and ranks forks by their total number of configuration deviations.

Can I identify fork-only skills and experiments for upstream review?

Yes, identifying fork-only skills is a core function. The analysis scans active forks in the target repository, detects configurations absent from upstream defaults, and highlights these fork-only experiments for leadership and upstream review.

Does fork divergence tracking require any external dependencies?

No external dependencies are required. The skill operates independently to read aeon.yml files, compare them against UPSTREAM_DEFAULTS, and synthesize a week-over-week divergence digest with a leadership verdict.

What is the best way to summarize fleet configuration overrides for leadership?

Summarize fleet overrides by aggregating divergence signals into defined buckets and ranking forks by total overrides. This provides a week-over-week tracking digest and a synthesized verdict, guiding upstream defaults and fleet configurations.