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 2428424081cn/Skill-mcp --skill redis-cache-patternsgit clone --depth 1 https://github.com/2428424081cn/Skill-mcpWrote 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/2428424081cn/skill-mcp/redis-cache-patterns)<a href="https://agentmods.dev/skills/2428424081cn/skill-mcp/redis-cache-patterns"><img src="https://agentmods.dev/badge/skills/2428424081cn/skill-mcp/redis-cache-patterns.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 5.1 | $0.00039 | $0.00187 |
| Opus 5 | $0.00019 | $0.00093 |
| Sonnet 5 | $0.00008 | $0.00037 |
| Haiku 4.5 | $0.00004 | $0.00019 |
Grade A, and why
redis-cache-patterns 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 7d 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.
What it actually says
Redis 高并发缓存设计模式指南
三大缓存灾难防御
- 缓存穿透：查询不存在的数据导致请求全部穿透到 DB -> 使用布隆过滤器（BloomFilter）或空值缓存（带短 TTL）。
- 缓存雪崩：大量缓存集中在同一时刻过期 -> 基础 TTL 叠加随机抖动值（如
baseTTL + random(0, 300)）。 - 缓存击穿：热点 Key 突然失效时高并发打入 DB -> 使用互斥锁（Mutex）控制仅一个线程回源更新。
What ships with it
2 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.
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.
- 7d ago First seen · 12 lines · 39 tokens per session scan A 9f05bc3cf298
redis-cache-patterns is a skill published in the GitHub repository 2428424081cn/Skill-mcp (1 stars, last pushed 14d ago), licensed MIT. It adds 39 tokens to every session and 187 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 2026-08-31.
Other skills, from other repositories
pinecone
Managed vector DB for production RAG and search.
redis-js
Work with the Upstash Redis JavaScript/TypeScript SDK for serverless Redis operations. Use for caching, session storage, rate limiting, leaderboards, full-text search (querying, filtering, aggregating with @upstash/redis search extension), and all Redis data structures. Supports automatic serialization/deserialization…
byted-milvus
Manages Milvus on Volcano Engine (Volcengine): provision/inspect/scale/delete clusters and run collection + CRUD/search operations via bundled CLIs. Use when the user mentions Milvus + Volcengine/Volcano Engine or asks to operate Milvus there.
vector-db
Vector database expert for embeddings, similarity search, RAG patterns, and indexing strategies.
redis-best-practices
Redis development best practices for caching, data structures, and high-performance key-value operations.
caching-strategies
CDN, Redis, in-memory cache, cache invalidation, and distributed caching patterns.