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.