smithery/aiskillstore

latency-tracker

Per-call and aggregated latency tracking for MEV infrastructure. Use when implementing performance monitoring or debugging slow operations. Triggers on: latency, timing, performance, slow, speed, instrumentation.

Installation

$ npx skills add smithery/aiskillstore --skill latency-tracker

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,315 B
  • docs SUMMARY.md 235 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Latency Tracker

Per-call and aggregated latency tracking for MEV infrastructure.

When to Use

  • Implementing performance monitoring
  • Debugging slow operations
  • Adding instrumentation to code paths
  • Tracking end-to-end latency
  • Setting up alerting thresholds

Workflow

Step 1: Define Span Hierarchy

Structure spans from e2e_flow down to individual calls.

Step 2: Instrument Code

Wrap operations in tracker.span() calls.

Step 3: Set Alert Thresholds

Configure alerts for latency exceeding expected ranges.


Span Hierarchy

e2eflow (root) ├── rusthotpathcall (5-15ms) │ └── rpcethcall (5-20ms) ├── txsubmit └── tx_confirm (1-15s)

Usage

const e2e = tracker.startE2E('liq');

await e2e.span('rust_call', async () => {
  return await callRust();
});

e2e.complete({ success: true });

Alert Thresholds

Span Expected Alert
rust_hotpath 5-15ms >30ms
rpcethcall 5-20ms >50ms
e2etosubmit 10-50ms >100ms