adversarial-rust

adversarial-rust is a Refactoring & code quality skill for AI agents, published by pproenca in the dot-skills repository on GitHub. Skillspace rates adversarial-rust D (66/100) and it passed the safety scan; the rating is based on static analysis only.

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<RefCell> webs, clone-until-it-compiles, bool/String state machines, sentinel returns, catch_unwind try/catch, reflexive Box<dyn>, 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…

Grade

D

Quality

66 / 100

Safety

Passed

GitHub stars

180

Unproven: rated by static analysis only, not yet compared head-to-head.

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