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 agentmods add skills/pmbrull/claustre/rust-async-patternsnpx skills add pmbrull/claustre --skill rust-async-patternsgit clone --depth 1 https://github.com/pmbrull/claustreWrote 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/pmbrull/claustre/rust-async-patterns)<a href="https://agentmods.dev/skills/pmbrull/claustre/rust-async-patterns"><img src="https://agentmods.dev/badge/skills/pmbrull/claustre/rust-async-patterns.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.03091 |
| Opus 5 | $0.00019 | $0.01545 |
| Sonnet 5 | $0.00008 | $0.00618 |
| Haiku 4.5 | $0.00004 | $0.00309 |
Grade A, and why
rust-async-patterns 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.
This is a copy
100% identical to rust-async-patterns — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 520 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rust Async Patterns
Production patterns for async Rust programming with Tokio runtime, including tasks, channels, streams, and error handling.
When to Use This Skill
- Building async Rust applications
- Implementing concurrent network services
- Using Tokio for async I/O
- Handling async errors properly
- Debugging async code issues
- Optimizing async performance
Core Concepts
1. Async Execution Model
Future (lazy) → poll() → Ready(value) | Pending
↑ ↓
Waker ← Runtime schedules
2. Key Abstractions
| Concept | Purpose |
|---|---|
Future |
Lazy computation that may complete later |
async fn |
Function returning impl Future |
await |
Suspend until future completes |
Task |
Spawned future running concurrently |
Runtime |
Executor that polls futures |
Quick Start
# Cargo.toml
[dependencies]
tokio = { version = "1", features = ["full"] }
futures = "0.3"
async-trait = "0.1"
anyhow = "1.0"
tracing = "0.1"
tracing-subscriber = "0.3"
use tokio::time::{sleep, Duration};
use anyhow::Result;
#[tokio::main]
async fn main() -> Result<()> {
// Initialize tracing
tracing_subscriber::fmt::init();
// Async operations
let result = fetch_data("https://api.example.com").await?;
println!("Got: {}", result);
Ok(())
}
async fn fetch_data(url: &str) -> Result<String> {
// Simulated async operation
sleep(Duration::from_millis(100)).await;
Ok(format!("Data from {}", url))
}
Patterns
Pattern 1: Concurrent Task Execution
use tokio::task::JoinSet;
use anyhow::Result;
// Spawn multiple concurrent tasks
async fn fetch_all_concurrent(urls: Vec<String>) -> Result<Vec<String>> {
let mut set = JoinSet::new();
for url in urls {
set.spawn(async move {
fetch_data(&url).await
});
}
let mut results = Vec::new();
while let Some(res) = set.join_next().await {
match res {
Ok(Ok(data)) => results.push(data),
Ok(Err(e)) => tracing::error!("Task failed: {}", e),
Err(e) => tracing::error!("Join error: {}", e),
}
}
Ok(results)
}
// With concurrency limit
use futures::stream::{self, StreamExt};
async fn fetch_with_limit(urls: Vec<String>, limit: usize) -> Vec<Result<String>> {
stream::iter(urls)
.map(|url| async move { fetch_data(&url).await })
.buffer_unordered(limit) // Max concurrent tasks
.collect()
.await
}
// Select first to complete
use tokio::select;
async fn race_requests(url1: &str, url2: &str) -> Result<String> {
select! {
result = fetch_data(url1) => result,
result = fetch_data(url2) => result,
}
}
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 · 520 lines · 39 tokens per session scan A ffc91349c31b
rust-async-patterns is a skill published in the GitHub repository pmbrull/claustre (2 stars, last pushed 5mo ago), licensed MIT. It adds 39 tokens to every session and 3,091 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to rust-async-patterns, differing in 0 lines, and is treated as a copy.
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