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 secondsky/claude-skills --skill bun-redisgit clone --depth 1 https://github.com/secondsky/claude-skillsWrote 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/secondsky/claude-skills/bun-redis)<a href="https://agentmods.dev/skills/secondsky/claude-skills/bun-redis"><img src="https://agentmods.dev/badge/skills/secondsky/claude-skills/bun-redis/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/secondsky/claude-skills/bun-redis"><img src="https://agentmods.dev/badge/skills/secondsky/claude-skills/bun-redis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector 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 | $0.01920 |
| Opus 5 | $0.00016 | $0.00960 |
| Sonnet 5 | $0.00006 | $0.00384 |
| Haiku 4.5 | $0.00003 | $0.00192 |
Grade A, and why
bun-redis 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 5d 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 — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bun Redis
Redis integration with Bun using popular Redis clients.
Client Options
| Client | Best For | Install |
|---|---|---|
ioredis |
Self-hosted Redis | bun add ioredis |
@upstash/redis |
Serverless/Edge | bun add @upstash/redis |
redis |
Official Node client | bun add redis |
ioredis Setup
import Redis from "ioredis";
// Default connection
const redis = new Redis();
// With options
const redis = new Redis({
host: "localhost",
port: 6379,
password: "secret",
db: 0,
});
// Connection string
const redis = new Redis("redis://:password@localhost:6379/0");
// TLS connection
const redis = new Redis({
host: "redis.example.com",
port: 6380,
tls: {},
});
Basic Operations
import Redis from "ioredis";
const redis = new Redis();
// Strings
await redis.set("name", "Alice");
await redis.set("count", "100");
await redis.setex("temp", 60, "expires in 60s"); // With TTL
const name = await redis.get("name"); // "Alice"
const count = await redis.incr("count"); // 101
await redis.del("name");
// Check existence
const exists = await redis.exists("name"); // 0 or 1
// TTL
await redis.expire("key", 3600); // Set 1 hour TTL
const ttl = await redis.ttl("key"); // Get remaining TTL
Data Structures
Hashes
// Set hash fields
await redis.hset("user:1", {
name: "Alice",
email: "[email protected]",
age: "30",
});
// Get single field
const name = await redis.hget("user:1", "name");
// Get all fields
const user = await redis.hgetall("user:1");
// { name: "Alice", email: "...", age: "30" }
// Increment field
await redis.hincrby("user:1", "visits", 1);
Lists
// Add to list
await redis.rpush("queue", "task1", "task2");
await redis.lpush("queue", "urgent");
// Pop from list
const task = await redis.lpop("queue"); // "urgent"
const blocking = await redis.blpop("queue", 5); // Wait 5s
// Range
const items = await redis.lrange("queue", 0, -1);
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.
- 5d ago First seen · 337 lines · 32 tokens per session scan A 86573fdc7b63
bun-redis is a skill published in the GitHub repository secondsky/claude-skills (216 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 1,920 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.
Other skills, from other repositories
remember
Record why something is the way it is — a decision and its reasoning, a lesson that cost time, or a standing constraint. Use when the reasoning behind a choice would be expensive to reconstruct later.
bootstrap
Set up chamnan in this repository for the first time — build the architecture index, measure how well the code describes itself, fill in missing file comments, and record a baseline. Run once per repo.
resume
Write down where this stretch of work stopped, so the next session continues instead of restarting. Use at the end of a working session, or when handing the repository to someone else.
milestone
Record a change that reshaped the repository — what moved, why it was worth doing, and which areas it touched. Use after a migration, a rewrite, or a decision that changed how part of the system works.
capture
Write down a procedure worth keeping — a multi-step process, a trap that cost real time, or something that has now come up three times. Use it the moment you finish such a task, while the details are still exact.
promote
Turn a scratch script into a permanent tool this repo keeps. Use when a check, report, or analysis has proved worth running more than once.