Health monitor for agent skills

Skill Health is an aeon skill: Fleet skill observability with two views - health audits per-skill metrics and files/resolves issues in memory/issues/; analytics ranks the fleet by 7d runs, success rates, and anomaly flags. Like every aeon skill it is one SKILL.md prompt file that runs unattended on your own GitHub Actions, on a schedule or when you trigger it, and sends what it finds to Telegram, Discord, Slack or email.

This skill provides two views over the same GitHub-Actions skill-run data. They share a preamble but branch into distinct logic:

Every aeon skill takes one optional text input, var, set in aeon.yml or typed in when you run it by hand. It picks the target or the mode for that run.

View selector.

• empty → health check across all scheduled skills (default).
• a skill slug (e.g. token-movers) → health check for that one skill.
• analytics or metrics (optionally analytics:HOURS, e.g. metrics:72) → fleet metrics view over the last HOURS (default 168 = 7d, cap 720).
• a bare integer (e.g. 168) → metrics view with that window in hours (legacy shorthand).

No extra API keys or MCP servers. It runs on the model you connected to aeon (a Claude subscription token, an API key, or another login).

Easiest: open Aeon Connect, sign in with GitHub and turn on Skill Health. No clone, no terminal. To add it to an existing aeon repo from a shell, run:

Then switch it on in aeon.yml (the default schedule is filled in):

skills:
  skill-health: { enabled: true, schedule: "0 18 * * *", var: "" }

New to aeon? Read the docs for how skills, schedules and memory fit together, or browse all skills.