Borrowing it
Nothing to install: this file belongs to elbruno/ElBruno.MempalaceNet. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/elbruno/ElBruno.MempalaceNet/main/.squad/skills/performance-tracking/SKILL.mdgit clone --depth 1 https://github.com/elbruno/ElBruno.MempalaceNetWrote 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/elbruno/elbruno.mempalacenet/performance-tracking)<a href="https://agentmods.dev/skills/elbruno/elbruno.mempalacenet/performance-tracking"><img src="https://agentmods.dev/badge/skills/elbruno/elbruno.mempalacenet/performance-tracking/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/elbruno/elbruno.mempalacenet/performance-tracking"><img src="https://agentmods.dev/badge/skills/elbruno/elbruno.mempalacenet/performance-tracking.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 | $0.00000 | $0.02907 |
| Opus 5 | $0.00000 | $0.01453 |
| Sonnet 5 | $0.00000 | $0.00581 |
| Haiku 4.5 | $0.00000 | $0.00291 |
Grade A, and why
performance-tracking 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 — 415 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Performance Tracking with MemPalace.Diagnostics
Status: Active
Domain: Diagnostics, SLA Validation, Benchmarking
Created: 2026-04-28
Author: Rachael (CLI/UX Dev)
Overview
Use MemPalace.Diagnostics.PerformanceBenchmark to track operation latencies, calculate percentile statistics (P50/P95/P99/P100), validate SLA compliance, and generate human/machine-readable reports.
When to Use This Skill
- ✅ Tracking latency of API calls, database queries, AI inference, search operations
- ✅ Validating P95/P99 SLA compliance in integration tests or CI pipelines
- ✅ Generating performance reports for trend analysis or debugging
- ✅ Comparing performance across different implementations (e.g., A/B testing)
- ✅ Monitoring long-running services with periodic latency snapshots
❌ Do NOT use for:
- Real-time metrics collection in production (use OpenTelemetry, Prometheus instead)
- Memory profiling or CPU profiling (use dotnet-trace, PerfView instead)
- Distributed tracing (use Application Insights, Jaeger instead)
Pattern 1: Basic Latency Tracking
Use Case: Measure and validate a single operation's P95 latency.
using MemPalace.Diagnostics;
using System.Diagnostics;
[Fact]
public async Task SearchOperation_MeetsP95SLA()
{
var benchmark = new PerformanceBenchmark();
// Run 100 search operations
for (int i = 0; i < 100; i++)
{
var sw = Stopwatch.StartNew();
await _searchService.Search("test query");
benchmark.RecordLatency("search", sw.Elapsed);
}
// Validate P95 < 100ms
var passes = benchmark.ValidateSLA("search", TimeSpan.FromMilliseconds(100));
if (!passes)
{
var stats = benchmark.GetPercentiles("search");
Assert.Fail($"Search P95 SLA failed: {stats.P95.TotalMilliseconds:F2}ms exceeds 100ms");
}
}
Pattern 2: Multi-Operation Batch Validation
Use Case: Validate multiple operations against their SLAs in a single test.
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 · 415 lines · 0 tokens per session scan A 54298031a3d4
performance-tracking is a skill published in the GitHub repository elbruno/ElBruno.MempalaceNet (11 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,907 tokens. 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 2026-08-30.
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