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adversarial-rust

adversarial-rust

Use this skill when reviewing or refactoring existing Rust code that carries an alien mental model — OO/enterprise ceremony from Java/C#, garbage-collected object graphs, exception-style control flow, or imperative loops ported onto the borrow checker. It is the adversarial, architecture-level counterpart to greenfield idiom advice — it names the paradigm t…

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Skill 문서

GitHub

name: adversarial-rust description: Use this skill when reviewing or refactoring existing Rust code that carries an alien mental model — OO/enterprise ceremony from Java/C#, garbage-collected object graphs, exception-style control flow, or imperative loops ported onto the borrow checker. It is the adversarial, architecture-level counterpart to greenfield idiom advice — it names the paradigm the code betrays and prescribes the deep refactor that collapses it, up to deleting whole layers (single-impl DI traits, Deref inheritance, Manager/Service structs, reflexive builders, Rc webs, clone-until-it-compiles, bool/String state machines, sentinel returns, catch_unwind try/catch, reflexive Box, blocking calls inside async, fire-and-forget spawns). Every rule is grounded in the codex-rs production workspace (openai/codex) — the prescriptions are what that codebase actually does and lint-enforces. Applies whenever the work is "make this Rust actually Rust", "flatten this architecture", or a pedantic review of code fighting the language.

Adversarial Rust

An adversarial, architecture-level review-and-refactor pass for Rust. Where a greenfield idiom skill answers "which tool should I reach for now?", this skill takes code that already exists and imported the wrong mental model — objects and interfaces from Java/C#, shared-everything graphs from garbage-collected languages, exceptions, C-style loops and sentinels, detached-promise concurrency — names the paradigm it betrays, and prescribes the refactor that collapses it back to idiomatic Rust.

Every rule is grounded in a single production codebase: the codex-rs workspace (github.com/openai/codex, codex-rs/ at commit f1affbac5e, ~125 crates / ~2,500 Rust files). The Correct side of each rule is what that codebase actually does, the enforcement evidence is its workspace lint config (unwrap_used, redundant_clone, needless_collect, await_holding_lock and ~30 more denied), and the carve-outs are the real exceptions it keeps — so "when NOT to apply" is never hypothetical. There is no rule for things a capable model already gets right.

When to Apply

  • Reviewing or refactoring existing Rust for architecture, not just style — "make this actually idiomatic", "why does this feel like Java in Rust"
  • Flattening ported ceremony — dependency-injection traits with one implementation, Deref-simulated inheritance, stateless *Manager/*Service structs, getter/setter boilerplate, a builder for every struct
  • Untangling fought ownership — .clone() sprinkled until it compiles, Rc<RefCell<T>> object graphs, self-referential struct attempts
  • Fixing anemic data — boolean/string state machines, parallel Option fields, raw primitives carrying domain meaning, god-structs of Options escaping the serde boundary
  • Removing exception-style flow — unwrap on expected failures, sentinel returns, catch_unwind as try/catch, anyhow on library API surfaces
  • Collapsing habitual indirection — Box<dyn Trait> for closed sets, boxed callback parameters, index loops and per-step collect() chains
  • Repairing imported concurrency habits — blocking calls inside async fn, guards held across .await, async task fan-out for CPU-bound work, fire-and-forget tokio::spawn

For greenfield "which pattern, which crate, which discipline" decisions while writing new Rust — async cancellation, error enum design, sandboxing, testing architecture — use openai-codex-rust-patterns instead; this skill is its diagnostic, layer-flattening counterpart drawn from the same codebase.

Rule Categories

#CategoryPrefixThe alien model it rips out
1Enterprise Ceremony & Fake OOarch-DI traits, Deref inheritance, Manager structs, getter ceremony, reflexive builders → concrete types, delegation, module functions, public fields, struct literals
2Ownership Fought, Not Usedown-clone-to-compile, Rc graphs, self-referential structs → designed clones, owning ID-keyed maps, single owners
3Anemic & Stringly Datatype-bool/String states, parallel Options, raw primitives, escaped god-structs → data-carrying enums, newtypes, one wire-to-domain resolve
4Exception-Style Control Flowflow-unwrap-as-handling, sentinels, catch_unwind, opaque library errors → Result + ?, Option, thiserror enums, anyhow at the rim
5Dynamic Dispatch by Habitdyn-Box for closed sets, boxed callback params → tagged enums, generic Fn at the API, channels over listeners
6Imperative Iterationiter-index loops, mut accumulators, collect-per-step → named combinators, one lazy chain, collect into Result
7Concurrency From Another Runtimeconc-blocking in async, guards across await, async CPU fan-out, orphan spawns → spawn_blocking, narrowed locks, bounded thread pools, owned handles

Quick Reference

1. Enterprise Ceremony & Fake OO

2. Ownership Fought, Not Used

3. Anemic & Stringly Data

4. Exception-Style Control Flow

5. Dynamic Dispatch by Habit

6. Imperative Iteration

7. Concurrency From Another Runtime

How to Use

Read a reference file when its smell shows up in the code under review. Each rule names the alien pattern, explains why Rust rejects it, and shows the refactor with real codex-rs names and a permalink into the codebase at the pinned commit. Prefer the deepest refactor the change budget allows — redesigning ownership beats sprinkling clone; deleting the DI trait beats mocking through it. Every example compiles on Rust 1.86 (2021 edition).

Related Skills

  • openai-codex-rust-patterns — the greenfield counterpart distilled from the same codex-rs workspace: which pattern to reach for while writing production Rust (async cancellation, error enum design, sandboxing, testing, workspace layout). Use it for authoring decisions; use this skill for adversarial review and ceremony-flattening refactors. Several rules here hand off to it once the flatten is done (flow-thiserror-library-anyhow-application → its errors- rules, flow-result-over-unwrap-expected → defensive-deny-unwrap-workspace-wide, arch-drop-di-trait-single-impl → its testing seams).

Reference Files

FileDescription
references/_sections.mdCategory definitions and ordering
assets/templates/_template.mdTemplate for new rules
metadata.jsonVersion and source references
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