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 peterblazejewicz/claude-plugins --skill performance-optimization-dotnetgit clone --depth 1 https://github.com/peterblazejewicz/claude-pluginsWrote 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/peterblazejewicz/claude-plugins/performance-optimization-dotnet)<a href="https://agentmods.dev/skills/peterblazejewicz/claude-plugins/performance-optimization-dotnet"><img src="https://agentmods.dev/badge/skills/peterblazejewicz/claude-plugins/performance-optimization-dotnet/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/peterblazejewicz/claude-plugins/performance-optimization-dotnet"><img src="https://agentmods.dev/badge/skills/peterblazejewicz/claude-plugins/performance-optimization-dotnet.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 | $0.00105 | $0.07070 |
| Opus 5.5 | $0.00042 | $0.02828 |
| Sonnet 5.5 | $0.00021 | $0.01414 |
| Haiku 4.5 | $0.00011 | $0.00707 |
Grade A, and why
performance-optimization-dotnet 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 1mo 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 — 515 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance Optimization — .NET
Overview
Measure before optimizing. Performance work without measurement is guessing — and guessing leads to premature optimization that adds complexity without improving what matters. Profile first, identify the actual bottleneck, fix it, measure again. Optimize only what measurements prove matters.
.NET gives you two advantages no amount of guessing replaces:
- BenchmarkDotNet for deterministic micro-benchmarks (with statistical analysis built in — if you see a delta smaller than the tool's noise floor, it isn't a real change)
- dotnet-counters / dotnet-trace / PerfView for live process observation without redeploying
Use them. The rest of this skill assumes you will.
When to Use
- Performance requirements exist in the spec (latency SLAs, throughput targets, memory budgets)
- Users or monitoring (Application Insights, Prometheus, OpenTelemetry) report slow behavior
- p95 latency, Gen2 GC rate, thread-pool queue length, or allocated-bytes-per-request regresses
- You suspect a recent change introduced a regression
- Building features that handle large datasets or high traffic
When NOT to use: don't optimize before you have evidence of a problem. Premature optimization adds complexity that costs more than the performance it gains. Readable code beats 3% faster code.
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.
- 1mo ago First seen · 515 lines · 105 tokens per session scan A 60e4f529ddeb
performance-optimization-dotnet is a skill published in the GitHub repository peterblazejewicz/claude-plugins (8 stars, last pushed 4mo ago), licensed MIT. It adds 105 tokens to every session and 7,070 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-31.
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