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 query-caching-strategiesgit 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/query-caching-strategies)<a href="https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/query-caching-strategies"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/query-caching-strategies/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/query-caching-strategies"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/query-caching-strategies.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 | $0.00032 | $0.00570 |
| Opus 5 | $0.00016 | $0.00285 |
| Sonnet 5 | $0.00006 | $0.00114 |
| Haiku 4.5 | $0.00003 | $0.00057 |
Grade A, and why
query-caching-strategies scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Query Caching Strategies
Table of Contents
Overview
Implement multi-level caching strategies using Redis, Memcached, and database-level caching. Covers cache invalidation, TTL strategies, and cache warming patterns.
When to Use
- Query result caching
- High-read workload optimization
- Reducing database load
- Improving response time
- Cache layer selection
- Cache invalidation patterns
- Distributed cache setup
Quick Start
Minimal working example:
// Node.js example with Redis
const redis = require("redis");
const client = redis.createClient({
host: "localhost",
port: 6379,
db: 0,
});
// Get user with caching
async function getUser(userId) {
const cacheKey = `user:${userId}`;
// Check cache
const cached = await client.get(cacheKey);
if (cached) return JSON.parse(cached);
// Query database
const user = await db.query("SELECT * FROM users WHERE id = $1", [userId]);
// Cache result (TTL: 1 hour)
await client.setex(cacheKey, 3600, JSON.stringify(user));
return user;
}
// Cache warming on startup
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Redis Caching with PostgreSQL | Redis Caching with PostgreSQL |
| Memcached Caching | Memcached Caching |
| PostgreSQL Query Cache | PostgreSQL Query Cache |
| MySQL Query Cache | MySQL Query Cache |
| Event-Based Invalidation | Event-Based Invalidation |
| Time-Based Invalidation | Time-Based Invalidation, LRU Cache Eviction |
Best Practices
✅ DO
What ships with it
8 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/event-based-invalidation.md 1.3 KB
- references/memcached-caching.md 780 B
- references/mysql-query-cache.md 478 B
- references/postgresql-query-cache.md 1.0 KB
- references/redis-caching-with-postgresql.md 1.5 KB
- references/time-based-invalidation.md 964 B
- scripts/validate-schema.sh 426 B runs code
- templates/migration-template.sql 302 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.
- 9d ago First seen · 93 lines · 32 tokens per session scan A 8c80ce73b2fd
query-caching-strategies is a skill published in the GitHub repository aj-geddes/useful-ai-prompts (338 stars, last pushed 6mo ago), licensed MIT. It adds 32 tokens to every session and 570 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 2026-09-03.
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