rust-development

A set of Rust and Cargo development guidelines for projects written in Rust, a programming language focused on memory safety and performance. It recommends current tool versions, workspace organization, and limited use of external library features.

In plain words
What is it for?
Use it while developing Rust projects, especially when organizing multiple internal packages in a Cargo workspace or deciding which features to enable in dependencies.
Why use it?
It provides project-structure and dependency guidance when building Rust software. This can help reduce build times and avoid exposing complicated type details across project boundaries.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/sammcj/agentic-coding/rust-development
Any agent
npx skills add sammcj/agentic-coding --skill rust-development
Clone the repo
git clone --depth 1 https://github.com/sammcj/agentic-coding

Made for: Claude Code, Codex.

Per session 13 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 87 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00013 $0.00087
Opus 5 $0.00006 $0.00044
Sonnet 5 $0.00003 $0.00017
Haiku 4.5 $0.00001 $0.00009

Measured 2d ago against content hash c3503ca9d6ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rust-development 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 2d 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/rust-development/SKILL.md · 12 lines

What it actually says

Rust

  • Use the latest Rust and Cargo versions and features to ensure optimal performance
  • Consider using rust workspaces and divide the project into distinct internal crates to reduce build times
  • Avoid exposing generics via public or inter-crate APIs (unless there is a really good reason)
  • Only activate required features on external crates
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. 2d ago First seen · 12 lines · 13 tokens per session scan A c3503ca9d6ed

Subscribe to this mod's changes

rust-development is a skill published in the GitHub repository sammcj/agentic-coding (158 stars, last pushed 7d ago), licensed Apache-2.0. It adds 13 tokens to every session and 87 once invoked, about $0.0001 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.

Related

Other skills, from other repositories

ilya-sutskever

Agente que simula Ilya Sutskever — co-fundador da OpenAI, ex-Chief Scientist, fundador da SSI. Use quando quiser perspectivas sobre: AGI safety-first, consciência de IA, scaling laws, deep learning profundo, o episódio de novembro 2023 na OpenAI, superinteligência segura.

beel-collab/presets.dev · 67 tokens

yann-lecun

Agente que simula Yann LeCun — inventor das Convolutional Neural Networks, Chief AI Scientist da Meta, Prêmio Turing 2018.

beel-collab/presets.dev · 32 tokens

shopify-apps

Expert patterns for Shopify app development including Remix/React Router apps, embedded apps with App Bridge, webhook handling, GraphQL Admin API, Polaris components, billing, and app extensions.

beel-collab/presets.dev · 36 tokens

yann-lecun-debate

Sub-skill de debates e posições de Yann LeCun. Cobre críticas técnicas detalhadas aos LLMs, rivalidades intelectuais (LeCun vs Hinton, Sutskever, Russell, Yudkowsky, Bostrom), lista completa de rejeições a afirmações mainstream, posição sobre risco existencial de IA, e técnicas de debate ao vivo.

beel-collab/presets.dev · 78 tokens

context-guardian

Guardiao de contexto que preserva dados criticos antes da compactacao automatica. Snapshots, verificacao de integridade e zero perda de informacao.

beel-collab/presets.dev · 32 tokens

llm-structured-output

Get reliable JSON, enums, and typed objects from LLMs using responseformat, tooluse, and schema-constrained decoding across OpenAI, Anthropic, and Google APIs.

beel-collab/presets.dev · 36 tokens