wasm-edge-computing-expert

wasm-edge-computing-expert is a skill for Claude Code, Codex from roedyrustam/vibes-plug. It costs 91 tokens per session (1,343 once invoked), scanned A, original, MIT.

A guide to compiling code to WebAssembly, a portable binary format that runs in browsers and server environments, and deploying it at the network edge.

In plain words
What is it for?
Use it for image processing, video encoding, cryptography, C or C++ browser ports, and Rust or Go modules on Cloudflare Workers, Fermyon Spin, or similar platforms.
Why use it?
It helps move demanding work out of JavaScript and run serverless code closer to users with fast startup times.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for image processing, video encoding, cryptography, C or C++ browser ports, and Rust or Go modules on Cloudflare Workers, Fermyon Spin, or similar platforms.

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Install with agentmods
npx agentmods add skills/roedyrustam/vibes-plug/wasm-edge-computing-expert
Install

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.

Any agent
npx skills add roedyrustam/vibes-plug --skill wasm-edge-computing-expert
Clone the repo
git clone --depth 1 https://github.com/roedyrustam/vibes-plug

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for wasm-edge-computing-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/wasm-edge-computing-expert.svg)](https://agentmods.dev/skills/roedyrustam/vibes-plug/wasm-edge-computing-expert)
Your own site
<a href="https://agentmods.dev/skills/roedyrustam/vibes-plug/wasm-edge-computing-expert"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/wasm-edge-computing-expert.svg" alt="Measured on agentmods" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,343 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00091 $0.01343
Opus 5 $0.00046 $0.00672
Sonnet 5 $0.00018 $0.00269
Haiku 4.5 $0.00009 $0.00134

Measured 4d ago against content hash 93b9f8a22dfc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

wasm-edge-computing-expert 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 4d 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.

skills/wasm-edge-computing-expert/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

WASM & Edge Computing Expert

English | Bahasa Indonesia


English

Description

A specialized guide for writing, compiling, and deploying WebAssembly (WASM) modules both on the Edge and in the browser. Covers the new WebAssembly System Interface (WASI) Preview 2, serverless execution environments (Spin, Cloudflare Workers, Fastly Compute), and bidirectional JavaScript-to-WASM interop.

Trigger Conditions

  • When porting heavy computational tasks (image processing, video encoding, cryptography) from JavaScript to Rust/Go via WASM.
  • When deploying ultra-fast, cold-start-free serverless functions on Cloudflare Workers or Fermyon Spin.
  • When the user asks about "WASI", "WebAssembly", or "Edge computing performance".
  • When bridging legacy C/C++ libraries to run in the browser using Emscripten.

Core Architectural Guidelines

1. Language Choice & Toolchain
  • Rust (Recommended): Use wasm-pack for browser modules and cargo component for WASI Preview 2. Rust offers the smallest binary sizes and no garbage collector overhead.
  • Go: Go 1.21+ has native WASI support (GOOS=wasip1 GOARCH=wasm), but binaries are larger due to the included runtime. Use TinyGo for smaller binaries.
  • AssemblyScript: Use when the team only knows TypeScript, though performance is slightly less than Rust.
2. Browser Integration (wasm-bindgen)

When writing Rust for the browser, minimize crossings between JS and WASM, as serialization is expensive.

use wasm_bindgen::prelude::*;

#[wasm_bindgen]
pub fn compute_heavy_task(input: &[u8]) -> Vec<u8> {
    // Process data entirely in WASM before returning
    input.iter().map(|&b| b.wrapping_add(1)).collect()
}
3. Edge & WASI Preview 2

WASI Preview 2 introduces the Component Model, allowing WASM modules to securely access system resources (HTTP, Filesystem) without being tied to a specific language.

  • Deploying to Cloudflare Workers:
    # wrangler.toml
    main = "./build/worker.js"
    [wasm_modules]
    MODULE = "./build/module.wasm"
    
  • Deploying to Fermyon Spin: Use the spin CLI to build microservices entirely in WASM that start in under 1 millisecond.

Read the full file on GitHub · 98 lines

Changes

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.

  1. 4d ago First seen · 98 lines · 91 tokens per session scan A 93b9f8a22dfc

Subscribe to this mod's changes

wasm-edge-computing-expert is a skill published in the GitHub repository roedyrustam/vibes-plug (49 stars, last pushed today), licensed MIT. It adds 91 tokens to every session and 1,343 once invoked, about $0.0005 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.