caching-strategy-setup

A guide for adding caching to a .NET application, where caching stores previously retrieved data so it can be reused. It covers in-memory, shared distributed, combined memory-and-distributed, and whole-response caching options.

In plain words
What is it for?
Use it when caching a query or response, configuring IMemoryCache, Redis or another distributed cache, using HybridCache in .NET 9 or later, or planning cache expiration and invalidation.
Why use it?
It helps choose the appropriate cache layer and avoid common problems such as stale data, conflicting cache keys, expired entries, and many requests rebuilding the same value at once.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/stefanthecode/dotnet-ai-toolkit/caching-strategy-setup
Any agent
npx skills add StefanTheCode/dotnet-ai-toolkit --skill caching-strategy-setup
Clone the repo
git clone --depth 1 https://github.com/StefanTheCode/dotnet-ai-toolkit

Made for: Claude Code, Codex.

Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 708 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00116 $0.00708
Opus 5 $0.00058 $0.00354
Sonnet 5 $0.00023 $0.00142
Haiku 4.5 $0.00012 $0.00071

Measured 2d ago against content hash dece4aab2c5d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

caching-strategy-setup 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 2d 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.

skills/caching-strategy-setup/SKILL.md · 49 lines

How it starts

The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Caching Strategy Setup

Add caching at the right layer with the parts people forget: sane keys, expiration policy, stampede protection, and an invalidation plan.

Input — point it at your project

Works on a target: a file, folder, project, or GitHub URL. Find hot reads to cache and existing cache usage: grep -rn "IMemoryCache\|IDistributedCache\|HybridCache\|GetOrCreate" --include=*.cs <target>.

Pick the layer

  • IMemoryCache — single instance, fastest, not shared across nodes. Good for per-node hot data.
  • IDistributedCache (Redis) — shared across instances, survives restarts, network hop. Good for multi-node.
  • HybridCache (.NET 9+) — combines L1 (memory) + L2 (distributed) with built-in stampede protection; prefer it when available.
  • Output caching — cache whole responses at the endpoint when appropriate.
builder.Services.AddHybridCache();

public class ProductService(HybridCache cache, IProductRepo repo)
{
    public ValueTask<Product> GetAsync(int id, CancellationToken ct) =>
        cache.GetOrCreateAsync($"product:{id}",
            factory: async c => await repo.GetAsync(id, c),
            options: new() { Expiration = TimeSpan.FromMinutes(10), LocalCacheExpiration = TimeSpan.FromMinutes(2) },
            cancellationToken: ct);
}

The parts people forget

  • Stampede / cache miss storm — without protection, many requests recompute on expiry. HybridCache handles it; with IMemoryCache add a per-key lock (SemaphoreSlim) or LazyCache.
  • Keys — stable, namespaced, include all inputs that change the result (product:{id}:{culture}).
  • Expiration — absolute + sliding deliberately chosen; don't cache forever.
  • Invalidation — the hard part. On write, evict/refresh affected keys (cache.RemoveAsync). Tag-based eviction for groups.
  • Don't cache user-specific/secret data in a shared cache without scoping the key.

Principles

  • Cache to cut expensive, repeated, tolerably-stale reads — not everything.
  • Every cache entry needs an expiration and an invalidation story before it ships.
  • Measure hit rate; a low-hit cache is just overhead.

Read the full file on GitHub · 49 lines

Files

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.

Changes

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.

  1. 2d ago First seen · 49 lines · 116 tokens per session scan A dece4aab2c5d

Subscribe to this mod's changes

caching-strategy-setup is a skill published in the GitHub repository StefanTheCode/dotnet-ai-toolkit (19 stars, last pushed 24d ago), licensed MIT. It adds 116 tokens to every session and 708 once invoked, about $0.0006 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.

Related

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