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 frontal-labs/mcp-server --skill upstash-redis-jsgit clone --depth 1 https://github.com/frontal-labs/mcp-serverWrote 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/frontal-labs/mcp-server/upstash-redis-js)<a href="https://agentmods.dev/skills/frontal-labs/mcp-server/upstash-redis-js"><img src="https://agentmods.dev/badge/skills/frontal-labs/mcp-server/upstash-redis-js/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/frontal-labs/mcp-server/upstash-redis-js"><img src="https://agentmods.dev/badge/skills/frontal-labs/mcp-server/upstash-redis-js.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 | $0.00346 | $0.02246 |
| Opus 5.5 | $0.00138 | $0.00898 |
| Sonnet 5.5 | $0.00069 | $0.00449 |
| Haiku 4.5 | $0.00035 | $0.00225 |
Grade A, and why
upstash-redis-js 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 yesterday.
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 — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Upstash Redis SDK - Complete Skills Guide
This directory contains comprehensive guides for using the @upstash/redis SDK. These skill files are designed to help developers and AI assistants understand and use the SDK effectively.
Installation
npm install @upstash/redis
Quick Start
Basic Initialization
import { Redis } from "@upstash/redis";
// Initialize with explicit credentials
const redis = new Redis({
url: "UPSTASH_REDIS_REST_URL",
token: "UPSTASH_REDIS_REST_TOKEN",
});
// Or initialize from environment variables
const redis = Redis.fromEnv();
Environment Variables
Set these in your .env file:
UPSTASH_REDIS_REST_URL=https://your-redis.upstash.io
UPSTASH_REDIS_REST_TOKEN=your-token-here
No credentials yet? If you're an agent that needs scratch Redis and the user hasn't provided a database, you can mint a temporary one with a single POST to
https://upstash.com/start-redis(3-day TTL, no signup).
Skill Files Overview
Data Structures (data-structures/)
Redis data types with auto-serialization examples:
- strings.md - GET, SET, INCR, DECR, APPEND with automatic type handling
- hashes.md - HSET, HGET, HMGET with object serialization
- lists.md - LPUSH, RPUSH, LRANGE with array handling
- sets.md - SADD, SMEMBERS, set operations
- sorted-sets.md - ZADD, ZRANGE, ZRANK, leaderboard patterns
- json.md - JSON.SET, JSON.GET, JSONPath queries for nested objects
- streams.md - XADD, XREAD, XGROUP, consumer groups
- arrays.md - ARSET, ARINSERT, ARSCAN, ARGREP, AROP, ring buffers with ARRING on sparse index-addressed arrays
- vector-indexes.md - VECTOR.CREATE, VECTOR.ADD, VECTOR.QUERY nearest-neighbour search inside Redis via redis.vector
Advanced Features (advanced-features/)
Complex operations and optimizations:
- auto-pipeline.md - Automatic request batching, performance optimization
- pipeline-and-transactions.md - Manual pipelines, MULTI/EXEC for atomic operations
- scripting.md - Lua scripts, EVAL, EVALSHA for server-side logic
What ships with it
31 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.
- advanced-features/auto-pipeline.md 1.3 KB
- advanced-features/pipeline-and-transactions.md 2.5 KB
- advanced-features/scripting.md 2.8 KB
- data-structures/arrays.md 3.7 KB
- data-structures/hashes.md 1.8 KB
- data-structures/json.md 3.6 KB
- data-structures/lists.md 2.1 KB
- data-structures/sets.md 2.8 KB
- data-structures/sorted-sets.md 3.9 KB
- data-structures/streams.md 5.0 KB
- data-structures/strings.md 2.1 KB
- data-structures/vector-indexes.md 2.5 KB
- migrations/from-ioredis.md 3.6 KB
- migrations/from-redis-node.md 4.2 KB
- patterns/caching.md 1.3 KB
- patterns/distributed-locks.md 3.6 KB
- patterns/leaderboard.md 4.1 KB
- patterns/rate-limiting.md 4.7 KB
- patterns/session-management.md 5.0 KB
- performance/batching-operations.md 2.0 KB
- performance/data-serialization.md 3.4 KB
- performance/error-handling.md 3.8 KB
- performance/pipeline-optimization.md 2.4 KB
- performance/redis-replicas.md 484 B
- performance/ttl-expiration.md 775 B
- search/adapters.md 2.8 KB
- search/commands/aggregating.md 5.8 KB
- search/commands/aliases.md 2.1 KB
- search/commands/index-management.md 4.6 KB
- search/commands/querying.md 6.6 KB
- search/overview.md 6.5 KB
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.
- yesterday First seen · 205 lines · 346 tokens per session scan A e70aaebc9ad7
upstash-redis-js is a skill published in the GitHub repository frontal-labs/mcp-server (1 stars, last pushed yesterday), licensed Apache-2.0. It adds 346 tokens to every session and 2,246 once invoked, about $0.0014 per session on Opus 5.5. 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 2026-10-15.
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