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 roedyrustam/vibes-plug --skill wasm-edge-computing-expertgit clone --depth 1 https://github.com/roedyrustam/vibes-plugWrote 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/roedyrustam/vibes-plug/wasm-edge-computing-expert)<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>- 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 | $0.00091 | $0.01343 |
| Opus 5 | $0.00046 | $0.00672 |
| Sonnet 5 | $0.00018 | $0.00269 |
| Haiku 4.5 | $0.00009 | $0.00134 |
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.
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
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-packfor browser modules andcargo componentfor 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
spinCLI to build microservices entirely in WASM that start in under 1 millisecond.
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.
- 4d ago First seen · 98 lines · 91 tokens per session scan A 93b9f8a22dfc
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.
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