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Fleet Control

Monitor managed Aeon instances via GitHub signals and workflow outcomes.

6|2|Updated May 21, 2026
Search Tags:#github actions#agent orchestration#persistent state#fleet health#incident triage#autonomous monitoring#dispatch workflows
One-click install
npx skills add https://github.com/anajuliabit/aeon --skill fleet-control-anajuliabit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Fleet Control
Source: https://github.com/anajuliabit/aeon/tree/main/skills/fleet-control
Command: npx skills add https://github.com/anajuliabit/aeon --skill fleet-control-anajuliabit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Fleet Control removes the need for manual oversight by continuously monitoring managed Aeon instances, detecting degradation, and preparing concrete next actions based on repository and workflow signals.

Core Features & Use Cases

  • Fleet-wide health monitoring: Health checks GitHub repo metadata, 24h workflow runs, and child cron-state, then classifies instances into healthy, warning, degraded, stale, pending, unreachable, or archived.
  • Decision-ready reporting: Produces a verdict-first output (plus deltas vs prior state) suitable for operators who need scanable, action-oriented summaries.
  • Automated dispatching: Dispatches a specified skill to targeted instances (healthy/warning/degraded) after verifying the child repo contains the requested skill and optionally checking enabled status in aeon.yml.
  • Operational guardrails: Enforces pre-flight checks for GitHub auth and API rate limits, bootstraps missing registries/state safely, and logs outcomes to repository memory paths.

Quick Start

Run Fleet Control with an empty command to perform the default health check and generate fleet-level actions and delta reporting for today.

Frequently Asked Questions about Fleet Control

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

FAQPage Schema
How do I monitor GitHub Actions workflow run outcomes across multiple repositories?▼

Fleet health monitoring aggregates GitHub repo metadata and 24h workflow run outcomes to classify instances as healthy, warning, degraded, or stale. It delivers a verdict-first report with deltas versus prior state for operators needing scanable summaries.

Can I automate incident triage and remediation dispatches for failing automated workflows?▼

Yes, incident triage dispatches a specified skill to targeted instances after verifying the child repo contains the requested skill and checking enabled status in aeon.yml. Dispatch outcomes are logged to repository memory paths for tracking.

What is autonomous fleet health monitoring for unattended scheduled operations?▼

Autonomous fleet monitoring runs unattended scheduled checks by aggregating cron-state failure patterns and workflow signals. It enforces GitHub auth and API rate-limit gates before bootstrapping missing state registries safely.

Does fleet monitoring require GitHub authentication and rate limit checks before running?▼

Yes, operational guardrails enforce pre-flight checks for GitHub auth and API rate limits before executing health checks or dispatching workflows. This prevents failures during automated cron-state monitoring and status rollups.

How do I persist persistent state and health snapshots for monitored instances?▼

Persistent state is maintained by saving per-instance health data in memory/instances.json and state snapshots in memory/state. This enables delta reporting against prior health states during subsequent scheduled monitoring runs.

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