caching

A guide to caching, which stores reusable data temporarily so an application can retrieve it without repeating expensive work.

In plain words
What is it for?
Use it to choose a cache strategy, set expiration times (TTLs), design invalidation, configure HTTP Cache-Control headers, and decide what should be cached.
Why use it?
It helps reduce database load and response time while avoiding stale data, incorrect invalidation, cache stampedes, and unsafe cached content.

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/kid-sid/codex-spellbook/caching
Any agent
npx skills add kid-sid/codex-spellbook --skill caching
Clone the repo
git clone --depth 1 https://github.com/kid-sid/codex-spellbook

Made for: Claude Code, Codex.

Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,483 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 $0.00038 $0.03483
Opus 5 $0.00019 $0.01741
Sonnet 5 $0.00008 $0.00697
Haiku 4.5 $0.00004 $0.00348

Measured 2d ago against content hash 31e39bb7f1a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

caching 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/SKILL.md · 385 lines

How it starts

The opening of the file, as written. The whole thing — 385 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Caching Patterns

Strategies and implementation patterns for application-level, distributed, and HTTP caching.

When to Activate

  • Adding Redis or Memcached to reduce database load or API latency
  • Designing TTL values and cache invalidation strategies
  • Preventing cache stampede on high-traffic keys
  • Configuring HTTP Cache-Control and CDN caching rules
  • Choosing between cache-aside, write-through, or write-behind
  • Debugging stale data, cache poisoning, or thundering herd problems
  • Sizing a cache or deciding what to cache vs. not cache

Strategy Selection

Strategy How Best For
Cache-aside (lazy) App checks cache first; on miss, loads from DB, populates cache General-purpose read caching
Write-through Write to cache and DB simultaneously Data that's read immediately after write
Write-behind (write-back) Write to cache; async flush to DB High write throughput, tolerance for small loss window
Read-through Cache fetches from DB on miss (cache manages itself) Managed caches (ElastiCache DAX, Momento)
Refresh-ahead Proactively refresh before expiry Predictable access patterns, zero-miss latency required

Cache-Aside (Most Common)

# Python — cache-aside with Redis
import redis, json, hashlib
from typing import Callable, TypeVar

T = TypeVar("T")
r = redis.Redis(host="redis", port=6379, decode_responses=True)

def get_or_set(key: str, loader: Callable[[], T], ttl: int = 300) -> T:
    cached = r.get(key)
    if cached is not None:
        return json.loads(cached)

    value = loader()
    r.setex(key, ttl, json.dumps(value, default=str))
    return value

# Usage
user = get_or_set(f"user:{user_id}", lambda: db.query(User).get(user_id), ttl=600)
// TypeScript — cache-aside
import { createClient } from "redis";

const redis = createClient({ url: "redis://redis:6379" });

async function getOrSet<T>(
  key: string,
  loader: () => Promise<T>,
  ttlSeconds = 300,
): Promise<T> {
  const cached = await redis.get(key);
  if (cached) return JSON.parse(cached) as T;

  const value = await loader();
  await redis.setEx(key, ttlSeconds, JSON.stringify(value));
  return value;
}

Read the full file on GitHub · 385 lines

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 · 385 lines · 38 tokens per session scan A 31e39bb7f1a4

Subscribe to this mod's changes

caching is a skill published in the GitHub repository kid-sid/codex-spellbook (21 stars, last pushed 3mo ago), licensed MIT. It adds 38 tokens to every session and 3,483 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.

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