skill-health

skill-health is a skill for Claude Code, Codex from aeonfun/aeon. It costs 44 tokens per session (8,392 once invoked), scanned A, original, MIT.

A monitoring and reporting tool for coding-agent skills. It can check individual skill health and analyze activity across the whole collection using run counts, success rates, failures, and unusual patterns.

In plain words
What is it for?
Use it to audit one skill or all scheduled skills, file and resolve issues, rank skills by recent activity, and inspect failure and anomaly data over a chosen time window.
Why use it?
It helps reveal broken skills, repeated failures, silent scheduled jobs, and changes that need attention. Separate health and metrics views make operational problems easier to investigate.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is ./scripts/skill-runs --json --hours $WINDOW_HOURS > output/.chains/skill-analytics-runs.json 2>/dev/null.

Good fit Use it to audit one skill or all scheduled skills, file and resolve issues, rank skills by recent activity, and inspect failure and anomaly data over a chosen time window.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/aeonfun/aeon
agentmods
npx agentmods add skills/aeonfun/aeon/skill-health

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for skill-health

README.md
[![agentmods](https://agentmods.dev/badge/skills/aeonfun/aeon/skill-health.svg)](https://agentmods.dev/skills/aeonfun/aeon/skill-health)
Your own site
<a href="https://agentmods.dev/skills/aeonfun/aeon/skill-health"><img src="https://agentmods.dev/badge/skills/aeonfun/aeon/skill-health.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,392 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.08392
Opus 5 $0.00022 $0.04196
Sonnet 5 $0.00009 $0.01678
Haiku 4.5 $0.00004 $0.00839

Measured 3d ago against content hash 86c10bfc5c40, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

skill-health scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

This skill fetches no URLs directly — all data is local or via `gh` / `./scripts/skill-runs` (which uses `gh api`, so auth comes from `GITHUB_TOKEN` with no secret ever on the command line). No `curl` fallback needed.
Origin

Copies of this mod

2 near-identical copies found in the catalogue:

skills/skill-health/SKILL.md · 542 lines

How it starts

The opening of the file, as written. The whole thing — 542 lines — stays where its author put it; the contents beside it link to each section on GitHub.

${var} — 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).

Overview

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

  • health (default): per-skill classification, issue filing/resolution against memory/issues/, and a state-change-gated notification. This is the load-bearing self-healing view — its issue contract, memory/skill-health/ scoring, and ### skill-health log shape are depended on by the health loop and other skills. Do not weaken it.
  • analytics (metrics): a fleet-wide ranked view — top runners, failure rates, exit-taxonomy distribution, silent-scheduled detection, and anomaly flags — with a significance-gated notification plus an article and a dashboard JSON spec. heartbeat gives binary ok/not-ok per run and the health view audits skills one degradation-band at a time; the analytics view is the only place the operator sees the entire fleet ranked side-by-side.

Shared preamble (run for either view)

  1. Read memory/MEMORY.md for high-level context and scan the last ~3 days of memory/logs/ for recent activity — drop anything already reported so you don't re-report the same signal.
  2. Compute ${today} (UTC date, YYYY-MM-DD).
  3. Parse ${var} → selector (trim whitespace first):
    • emptyVIEW=health, TARGET=all (all scheduled skills).
    • lowercase first token is analytics or metricsVIEW=analytics. Parse an optional window argument after a : or a space (analytics:72, metrics 336): if it is a positive integer, WINDOW_HOURS = min(that, 720); otherwise WINDOW_HOURS = 168.
    • a bare positive integer (e.g. 168) → VIEW=analytics, WINDOW_HOURS = min(that, 720) (legacy skill-analytics shorthand).
    • anything else (a non-keyword, non-integer slug) → VIEW=health, TARGET=<that slug> (single-skill health check).
  4. Dispatch: if VIEW=health, run Health view; if VIEW=analytics, run Analytics view.

Read the full file on GitHub · 542 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 542 lines · 44 tokens per session scan A 86c10bfc5c40

Subscribe to this mod's changes

skill-health is a skill published in the GitHub repository aeonfun/aeon (718 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 8,392 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.