Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ComeOnOliver/skillshub --skill axiom-metrickit-refgit clone --depth 1 https://github.com/ComeOnOliver/skillshubWrote 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.
[](https://agentmods.dev/skills/comeonoliver/skillshub/axiom-metrickit-ref)<a href="https://agentmods.dev/skills/comeonoliver/skillshub/axiom-metrickit-ref"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-metrickit-ref/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/comeonoliver/skillshub/axiom-metrickit-ref"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-metrickit-ref.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.04732 |
| Opus 5 | $0.00017 | $0.02366 |
| Sonnet 5 | $0.00007 | $0.00946 |
| Haiku 4.5 | $0.00003 | $0.00473 |
Grade A, and why
axiom-metrickit-ref scanned grade A with 0 findings 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 9d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 678 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MetricKit API Reference
Complete API reference for collecting field performance metrics and diagnostics using MetricKit.
Overview
MetricKit provides aggregated, on-device performance and diagnostic data from users who opt into sharing analytics. Data is delivered daily (or on-demand in development).
When to Use This Reference
Use this reference when:
- Setting up MetricKit subscriber in your app
- Parsing MXMetricPayload or MXDiagnosticPayload
- Symbolicating MXCallStackTree crash data
- Understanding background exit reasons (jetsam, watchdog)
- Integrating MetricKit with existing crash reporters
For hang diagnosis workflows, see axiom-hang-diagnostics.
For general profiling with Instruments, see axiom-performance-profiling.
For memory debugging including jetsam, see axiom-memory-debugging.
Common Gotchas
- 24-hour delay — MetricKit data arrives once daily; it's not real-time debugging
- Call stacks require symbolication — MXCallStackTree frames are unsymbolicated; keep dSYMs
- Opt-in only — Only users who enable "Share with App Developers" contribute data
- Aggregated, not individual — You get counts and averages, not per-user traces
- Simulator doesn't work — MetricKit only collects on physical devices
iOS Version Support:
| Feature | iOS Version |
|---|---|
| Basic metrics (battery, CPU, memory) | iOS 13+ |
| Diagnostic payloads | iOS 14+ |
| Hang diagnostics | iOS 14+ |
| Launch diagnostics | iOS 16+ |
| Immediate delivery in dev | iOS 15+ |
Part 1: Setup
Basic Integration
import MetricKit
class AppMetricsSubscriber: NSObject, MXMetricManagerSubscriber {
override init() {
super.init()
MXMetricManager.shared.add(self)
}
deinit {
MXMetricManager.shared.remove(self)
}
// MARK: - MXMetricManagerSubscriber
func didReceive(_ payloads: [MXMetricPayload]) {
for payload in payloads {
processMetrics(payload)
}
}
func didReceive(_ payloads: [MXDiagnosticPayload]) {
for payload in payloads {
processDiagnostics(payload)
}
}
}
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.
- 9d ago First seen · 678 lines · 34 tokens per session scan A d7efbf989d23
axiom-metrickit-ref is a skill published in the GitHub repository ComeOnOliver/skillshub (63 stars, last pushed 2mo ago), licensed MIT. It adds 34 tokens to every session and 4,732 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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