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-workersgit 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-workers)<a href="https://agentmods.dev/skills/secondsky/claude-skills/bun-workers"><img src="https://agentmods.dev/badge/skills/secondsky/claude-skills/bun-workers/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-workers"><img src="https://agentmods.dev/badge/skills/secondsky/claude-skills/bun-workers.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 | $0.00020 | $0.02134 |
| Opus 5.5 | $0.00008 | $0.00854 |
| Sonnet 5.5 | $0.00004 | $0.00427 |
| Haiku 4.5 | $0.00002 | $0.00213 |
Grade A, and why
bun-workers 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 1mo 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 — 384 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bun Workers
Bun supports Web Workers and Node.js worker_threads for parallel execution.
Web Workers
Basic Usage
// main.ts
const worker = new Worker(new URL("./worker.ts", import.meta.url));
worker.postMessage({ type: "start", data: [1, 2, 3, 4, 5] });
worker.onmessage = (event) => {
console.log("Result:", event.data);
};
worker.onerror = (error) => {
console.error("Worker error:", error.message);
};
// worker.ts
self.onmessage = (event) => {
const { type, data } = event.data;
if (type === "start") {
const result = data.map((x) => x * 2);
self.postMessage(result);
}
};
Worker with URL
// Import from file path
const worker = new Worker(new URL("./worker.ts", import.meta.url));
// Or with blob URL
const code = `
self.onmessage = (e) => {
self.postMessage(e.data * 2);
};
`;
const blob = new Blob([code], { type: "application/javascript" });
const worker = new Worker(URL.createObjectURL(blob));
Transferable Objects
// main.ts
const buffer = new ArrayBuffer(1024 * 1024); // 1MB
const view = new Uint8Array(buffer);
view.fill(42);
// Transfer ownership (zero-copy)
worker.postMessage({ buffer }, [buffer]);
// buffer is now detached (empty)
// worker.ts
self.onmessage = (event) => {
const { buffer } = event.data;
const view = new Uint8Array(buffer);
// Process buffer...
// Transfer back
self.postMessage({ buffer }, [buffer]);
};
Shared Memory
// main.ts
const shared = new SharedArrayBuffer(1024);
const view = new Int32Array(shared);
worker.postMessage({ shared });
// Both main and worker can access
Atomics.add(view, 0, 1);
// worker.ts
self.onmessage = (event) => {
const { shared } = event.data;
const view = new Int32Array(shared);
// Atomic operations for thread safety
Atomics.add(view, 0, 1);
Atomics.notify(view, 0);
};
Node.js worker_threads
// main.ts
import { Worker, isMainThread, parentPort, workerData } from "worker_threads";
if (isMainThread) {
const worker = new Worker(import.meta.filename, {
workerData: { numbers: [1, 2, 3, 4, 5] },
});
worker.on("message", (result) => {
console.log("Result:", result);
});
worker.on("error", (err) => {
console.error("Error:", err);
});
worker.on("exit", (code) => {
console.log("Worker exited with code:", code);
});
} else {
// Worker code
const { numbers } = workerData;
const sum = numbers.reduce((a, b) => a + b, 0);
parentPort?.postMessage(sum);
}
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.
- 1mo ago First seen · 384 lines · 20 tokens per session scan A 7867fa269306
bun-workers is a skill published in the GitHub repository secondsky/claude-skills (231 stars, last pushed 20d ago), licensed MIT. It adds 20 tokens to every session and 2,134 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
decide
A reusable decision procedure, and a copyable prototype for the guard that encodes it — derive the population, set one threshold by what being wrong costs, name the offender, and break it once to prove it can fail. Use when writing a check, guard, gate or validation of any kind, or when deciding whether something is…
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.
review
Review a change with what this repository knows about it — who depends on the file, which tests cover it, what broke here before, and what the repo has written down. Use before approving a diff, opening a PR, or when asked to review.
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.