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 Omar-Obando/qwen-orchestrator --skill redis-cachinggit clone --depth 1 https://github.com/Omar-Obando/qwen-orchestratorWrote 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/omar-obando/qwen-orchestrator/redis-caching)<a href="https://agentmods.dev/skills/omar-obando/qwen-orchestrator/redis-caching"><img src="https://agentmods.dev/badge/skills/omar-obando/qwen-orchestrator/redis-caching/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/omar-obando/qwen-orchestrator/redis-caching"><img src="https://agentmods.dev/badge/skills/omar-obando/qwen-orchestrator/redis-caching.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00050 | $0.11036 |
| Opus 5 | $0.00025 | $0.05518 |
| Sonnet 5 | $0.00010 | $0.02207 |
| Haiku 4.5 | $0.00005 | $0.01104 |
Grade A, and why
redis-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 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.
How it starts
The opening of the file, as written. The whole thing — 1,391 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Redis Caching Skill — Data Structures, Caching Patterns, and Production Best Practices
Overview
This skill provides comprehensive guidance for implementing Redis caching strategies, including all Redis data structures (strings, hashes, lists, sets, sorted sets, streams, bitmaps, hyperloglogs, geospatial), caching patterns (cache-aside, write-through, write-behind, write-around), session management, pub/sub messaging, Lua scripting, transactions, pipelines, clustering, Sentinel, replication, persistence (RDB, AOF), memory management, and production best practices across multiple client libraries.
When to Use
Use this skill when:
- Implementing cache-aside, write-through, write-behind, or write-around caching patterns
- Managing Redis sessions for web applications
- Using Redis pub/sub for real-time messaging
- Working with Redis Streams for message queuing
- Performing string operations (GET, SET, INCR, DECR, APPEND)
- Managing hash operations (HSET, HGET, HGETALL, HDEL)
- Using list operations (LPUSH, RPUSH, LPOP, RPOP, LRANGE)
- Implementing set operations (SADD, SREM, SMEMBERS, SINTER, SUNION)
- Working with sorted sets (ZADD, ZREM, ZRANGE, ZREVRANGE, ZINCRBY)
- Implementing stream processing (XADD, XREAD, XGROUP, XACK)
- Using bitmap operations (SETBIT, GETBIT, BITCOUNT)
- Implementing hyperloglog counting (PFADD, PFCOUNT, PFMERGE)
- Using geospatial operations (GEOADD, GEORADIUS, GEOHASH)
- Writing Lua scripts for atomic operations
- Implementing transactions with MULTI/EXEC
- Using pipelines for batch operations
- Setting up Redis clustering for horizontal scaling
- Configuring Redis Sentinel for high availability
- Implementing Redis replication for read scaling
- Configuring RDB persistence
- Setting up AOF persistence
- Managing memory and maxmemory configuration
- Implementing eviction policies (LRU, LFU, random, ttl)
- Managing TTL expiration strategies
- Setting up connection pooling with connection managers
- Using Redisson, Lettuce, Jedis, ioredis, node-redis, or redis-py clients
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.
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 · 1,391 lines · 50 tokens per session scan A b6681e7681c3
redis-caching is a skill published in the GitHub repository Omar-Obando/qwen-orchestrator (49 stars, last pushed 2mo ago), licensed MIT. It adds 50 tokens to every session and 11,036 once invoked, about $0.0003 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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