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 agentmods add skills/christian289/dotnet-with-claudecode/optimizing-memory-allocationnpx skills add christian289/dotnet-with-claudecode --skill optimizing-memory-allocationgit clone --depth 1 https://github.com/christian289/dotnet-with-claudecodeWrote 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/christian289/dotnet-with-claudecode/optimizing-memory-allocation)<a href="https://agentmods.dev/skills/christian289/dotnet-with-claudecode/optimizing-memory-allocation"><img src="https://agentmods.dev/badge/skills/christian289/dotnet-with-claudecode/optimizing-memory-allocation.svg" alt="Measured on agentmods" 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 | $0.00033 | $0.01162 |
| Opus 5 | $0.00016 | $0.00581 |
| Sonnet 5 | $0.00007 | $0.00232 |
| Haiku 4.5 | $0.00003 | $0.00116 |
Grade A, and why
optimizing-memory-allocation 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 5d 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 — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
.NET Memory Efficiency, Zero Allocation
A guide for APIs that minimize GC pressure and enable high-performance memory management.
Quick Reference: See QUICKREF.md for essential patterns at a glance.
1. Core Concepts
- .NET CLR GC Heap Memory Optimization
- Understanding Stack allocation vs Heap allocation
- Stack-only types through ref struct
2. Key APIs
| API | Purpose | NuGet |
|---|---|---|
Span<T>, Memory<T> |
Stack-based memory slicing | BCL |
ArrayPool<T>.Shared |
Reduce GC pressure through array reuse | BCL |
DefaultObjectPool<T> |
Object pooling | Microsoft.Extensions.ObjectPool |
MemoryCache |
In-memory caching | System.Runtime.Caching |
3. Span, ReadOnlySpan
3.1 Basic Usage
// Zero Allocation when parsing strings
public void ParseData(ReadOnlySpan<char> input)
{
// String manipulation without Heap allocation
var firstPart = input.Slice(0, 10);
var secondPart = input.Slice(10);
}
// Array slicing
public void ProcessArray(int[] data)
{
Span<int> span = data.AsSpan();
Span<int> firstHalf = span[..^(span.Length / 2)];
Span<int> secondHalf = span[(span.Length / 2)..];
}
3.2 String Processing Optimization
// ❌ Bad example: Substring allocates new string
string part = text.Substring(0, 10);
// ✅ Good example: AsSpan has no allocation
ReadOnlySpan<char> part = text.AsSpan(0, 10);
3.3 Using with stackalloc
public void ProcessSmallBuffer()
{
// Allocate small buffer on Stack (no Heap allocation)
Span<byte> buffer = stackalloc byte[256];
FillBuffer(buffer);
}
4. ArrayPool
Reduces GC pressure by reusing large arrays.
4.1 Basic Usage
namespace MyApp.Services;
public sealed class DataProcessor
{
public void ProcessLargeData(int size)
{
// Rent array (minimize Heap allocation)
var buffer = ArrayPool<byte>.Shared.Rent(size);
try
{
// Use buffer (only use up to requested size)
ProcessBuffer(buffer.AsSpan(0, size));
}
finally
{
// Must return
ArrayPool<byte>.Shared.Return(buffer);
}
}
}
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 219 lines · 33 tokens per session scan A 89c6d1fd28fd
optimizing-memory-allocation is a skill published in the GitHub repository christian289/dotnet-with-claudecode (41 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 1,162 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 2026-08-30.
Other skills, from other repositories
nina-repository
Repository-specific guidance for working in the N.I.N.A. codebase and NINA.sln. Use when Codex is asked to modify, review, test, debug, navigate, or explain code in this repository; touch NINA. projects, app startup/DI, profiles/settings, localization, database migrations, equipment, astrometry, imaging, plate…
lightningcad
Use when doing architectural facade panel layout and detailing in AutoCAD or ZWCAD — panel numbering, shop drawing generation, material optimization. LightningCAD: building envelope detailing plugin for AutoCAD/ZWCAD.
reogrid
Use when embedding an Excel-like spreadsheet control in .NET WinForms/WPF applications — formula engine, cell editing, clipboard, undo/redo. ReoGrid: .NET spreadsheet component with NPOI-based Excel read/write.
mapsui
Use when embedding interactive 2D maps in .NET desktop (WinForms/WPF) or mobile (MAUI) applications — tile layers, vector features, map controls. Mapsui: cross-platform .NET map component library.
nap
Reclaims context window budget by compressing agent histories, pruning old logs, archiving stale decisions, and cleaning orphaned inbox files.
orchardcore-ai-memory
Skill for configuring persistent, user-scoped AI Memory in Orchard Core using the CrestApps AI Memory module. Covers memory indexing backends (Azure AI Search and Elasticsearch), memory tools, preemptive memory retrieval, and per-profile memory settings. Use this skill when requests mention Orchard Core AI Memory…