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 scott-fryxell/brayness --skill rust-best-practicesgit clone --depth 1 https://github.com/scott-fryxell/braynessWrote 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/scott-fryxell/brayness/rust-best-practices)<a href="https://agentmods.dev/skills/scott-fryxell/brayness/rust-best-practices"><img src="https://agentmods.dev/badge/skills/scott-fryxell/brayness/rust-best-practices/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/scott-fryxell/brayness/rust-best-practices"><img src="https://agentmods.dev/badge/skills/scott-fryxell/brayness/rust-best-practices.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00048 | $0.00884 |
| Opus 5 | $0.00024 | $0.00442 |
| Sonnet 5 | $0.00010 | $0.00177 |
| Haiku 4.5 | $0.00005 | $0.00088 |
Grade A, and why
rust-best-practices 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 11d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rust Best Practices
Apply these guidelines when writing or reviewing Rust code. Based on Apollo GraphQL's Rust Best Practices Handbook.
Best Practices Reference
Before reviewing, familiarize yourself with Apollo's Rust best practices. Read ALL relevant chapters in the same turn in parallel. Reference these files when providing feedback:
- Chapter 1 - Coding Styles and Idioms: Borrowing vs cloning, Copy trait, Option/Result handling, iterators, comments
- Chapter 2 - Clippy and Linting: Clippy configuration, important lints, workspace lint setup
- Chapter 3 - Performance Mindset: Profiling, avoiding redundant clones, stack vs heap, zero-cost abstractions
- Chapter 4 - Error Handling: Result vs panic, thiserror vs anyhow, error hierarchies
- Chapter 5 - Automated Testing: Test naming, one assertion per test, snapshot testing
Trimmed to the chapters that apply here. The only Rust in this workspace is
work/realness/tracer, a ~300-line WASM cdylib with no threads, no unsafe,
no trait objects, and no published rustdoc API. Apollo's chapters 6-9 (generics
and dispatch, type state, comments vs documentation, pointers and Send/Sync)
were dropped as inapplicable. Pull them from the
upstream handbook if a
future crate needs them.
Quick Reference
Borrowing & Ownership
- Prefer
&Tover.clone()unless ownership transfer is required - Use
&stroverString,&[T]overVec<T>in function parameters - Small
Copytypes (24 bytes or less) can be passed by value - Use
Cow<'_, T>when ownership is ambiguous
Error Handling
- Return
Result<T, E>for fallible operations; avoidpanic!in production - Never use
unwrap()/expect()outside tests - Use
thiserrorfor library errors,anyhowfor binaries only - Prefer
?operator over match chains for error propagation
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 76 lines · 48 tokens per session scan A 07579d8611fc
rust-best-practices is a skill published in the GitHub repository scott-fryxell/brayness (122 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 884 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 2026-08-30.
Other skills, from other repositories
dd-code-generation
Use pup CLI for immediate Datadog operations or generate code for integration into applications.
omh-rust
This is a Hermes-native rust workflow skill.
bevy-ecs
Structure a Bevy app around its Entity Component System: build the App with plugins, define Component/Resource types, write systems with Query/Res/Commands, filter and order systems, and use the Time resource for frame-rate-independent motion. Use when building or debugging a Bevy game in Rust — when the user mentions…
rust-project
Modern Rust project architecture guide for 2025. Use when creating Rust projects (CLI, web services, libraries). Covers workspace structure, error handling, async patterns, and idiomatic Rust best practices.
azure-keyvault-secrets-rust
Client library for Azure Key Vault Secrets — secure storage for passwords, API keys, and other secrets.
Agent Browser Automation
Fast Rust-based headless browser automation CLI with Node.js fallback for AI agents, featuring navigation, clicking, typing, snapshots, and structured commands optimized for agent workflows.