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 aj-geddes/useful-ai-prompts --skill caching-strategygit clone --depth 1 https://github.com/aj-geddes/useful-ai-promptsWrote 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/aj-geddes/useful-ai-prompts/caching-strategy)<a href="https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/caching-strategy"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/caching-strategy/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/aj-geddes/useful-ai-prompts/caching-strategy"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/caching-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00038 | $0.00635 |
| Opus 5 | $0.00019 | $0.00318 |
| Sonnet 5 | $0.00008 | $0.00127 |
| Haiku 4.5 | $0.00004 | $0.00064 |
Grade A, and why
caching-strategy 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 12d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Caching Strategy
Table of Contents
Overview
Implement effective caching strategies to improve application performance, reduce latency, and decrease load on backend systems.
When to Use
- Reducing database query load
- Improving API response times
- Handling high traffic loads
- Caching expensive computations
- Storing session data
- CDN integration for static assets
- Implementing distributed caching
- Rate limiting and throttling
Quick Start
Minimal working example:
import Redis from "ioredis";
interface CacheOptions {
ttl?: number; // Time to live in seconds
prefix?: string;
}
class CacheService {
private redis: Redis;
private defaultTTL = 3600; // 1 hour
constructor(redisUrl: string) {
this.redis = new Redis(redisUrl, {
retryStrategy: (times) => {
const delay = Math.min(times * 50, 2000);
return delay;
},
maxRetriesPerRequest: 3,
});
this.redis.on("connect", () => {
console.log("Redis connected");
});
this.redis.on("error", (error) => {
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Redis Cache Implementation (Node.js) | Redis Cache Implementation (Node.js) |
| Cache Decorator (Python) | Cache Decorator (Python) |
| Multi-Level Cache | Multi-Level Cache |
| Cache Invalidation Strategies | Cache Invalidation Strategies |
| HTTP Caching Headers | HTTP Caching Headers |
Best Practices
✅ DO
- Set appropriate TTL values
- Implement cache warming for critical data
- Use cache-aside pattern for reads
- Monitor cache hit rates
- Implement graceful degradation on cache failure
- Use compression for large cached values
- Namespace cache keys properly
- Implement cache stampede prevention
- Use consistent hashing for distributed caching
- Monitor cache memory usage
What ships with it
7 files 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.
- references/cache-decorator-python.md 2.4 KB
- references/cache-invalidation-strategies.md 1.9 KB
- references/http-caching-headers.md 2.0 KB
- references/multi-level-cache.md 2.3 KB
- references/redis-cache-implementation-nodejs.md 5.1 KB
- scripts/validate-api.sh 440 B runs code
- templates/api-scaffold.yaml 467 B
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.
- 12d ago First seen · 104 lines · 38 tokens per session scan A 86a777cceb8e
caching-strategy is a skill published in the GitHub repository aj-geddes/useful-ai-prompts (338 stars, last pushed 6mo ago), licensed MIT. It adds 38 tokens to every session and 635 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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