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rust-review

Review existing Rust code for idiom, API design, error handling, safety, and maintainability, and produce a prioritized report where every finding cites the rule it breaks and gives a concrete fix.

Install / Use

npx skills add morganlinton/BeautifulRust --skill rust-review

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

90/100

Supported Platforms

Zed

Our assessment of rust-review

rust-review scores 90/100 on our quality scale, 446th of 1,178 Content & Media skills we index (top 38%).

Its SKILL.md is 8.4 KB long, well organised into 14 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.

With 1,611 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
18/20
Description
15/15
Adoption
14/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 7 days ago, so rust-review is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-11-07. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

rust-review compared with similar skills

All 4 of these similar skills score higher than rust-review; compare them before choosing.

SkillScoreStarsUpdatedFormat
rust-review (this skill)by morganlinton901.6k7d agoSKILL.md
taste-skillby Leonxlnx100111.4k2d agoCLAUDE.md
Agent-Reachby Panniantong100109.8k1d agoCLAUDE.md
headroomby headroomlabs-ai10079.1ktodayCLAUDE.md
Scraplingby D4Vinci10099.1k2d agoMCP Server

Frequently asked questions

How do I install rust-review?
Run npx skills add morganlinton/BeautifulRust --skill rust-review. The install tabs above show the steps for each supported agent.
Which AI agents does rust-review work with?
It is written for Zed, as a SKILL.md file. Other agents that read the same format can often use it too.
Is rust-review safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is rust-review still maintained?
The repository was last updated 7 days ago, so rust-review is actively maintained.

name: rust-review description: >- Review existing Rust code for idiom, API design, error handling, safety, and maintainability, and produce a prioritized report where every finding cites the rule it breaks and gives a concrete fix. Use this whenever the user asks to review, audit, critique, grade, or "check" Rust code, a crate, a module, a .rs file, a diff, or a pull request, or asks what is wrong with their Rust or how to make it more idiomatic, even if they don't say "review". Pairs with the rust-best-practices skill, which covers writing new code.

Rust review

Review Rust code against the same rules the rust-best-practices skill uses for writing it, and report what to change. The output is a review, not a rewrite: the reader decides what to fix. Only rewrite code when the user asks for that.

1. Decide the scope

  • What to read. Review exactly what the user pointed at: a file, a module, a crate, or a diff. For a diff, review the changed lines and anything they break, not the whole file.
  • Library or application. Check for a lib.rs, pub items used by other crates, or a published Cargo.toml. Library code is held to the API-design rules strictly. Application code gets the simplicity rules instead: concrete types, anyhow-style errors, and no speculative generality. Say which you assumed at the top of the report.
  • The edition and MSRV, from Cargo.toml, so you don't recommend features the project can't use.
  • Frameworks. If the crate depends on bevy or bevy_ecs, read the Bevy digest (bevy.md) in the rust-best-practices skill's references first. It lists the Bevy conventions to leave alone (by-value system parameters, the prelude, plain-data components) and the ECS bugs to look for.

2. Run the tools first, if you can

If a Rust toolchain is available, run these from the crate root and fold the results into the report. They catch the mechanical issues, which leaves you free for design.

cargo fmt --check
cargo clippy --all-targets --all-features -- -W clippy::pedantic
cargo test

Don't paste raw clippy output. Group repeated warnings into one finding, and skip pedantic lints that don't matter for this code. If the tools aren't available, say so in the report and review by reading.

3. What to look for, in priority order

Work through these in order. The first two categories are where real bugs live.

Correctness and soundness

  • Undefined behavior: an unsafe block without a // SAFETY: comment, transmute to cast enums or extend lifetimes, unsafe impl Send/Sync used to silence the compiler, or a safe function that can cause UB through safe calls (unsound).
  • Panics on reachable paths: unwrap(), expect(), indexing, as casts that wrap, or integer overflow, wherever input from outside can reach them.
  • Trait contracts: a hand-written Ord with a derived PartialEq, or Hash that disagrees with Eq. These silently corrupt BTreeMap, HashMap, sort, and dedup.
  • Lock hazards: a MutexGuard held across .await or returned to a caller, user closures called under a lock, or a poisoned lock recovered with into_inner.
  • ECS bugs in Bevy code: two queries that can reach the same component mutably (a B0001 panic on the first frame), systems that read each other's results with no order between them, and deferred Commands read back before they apply.
  • Destructors that panic, block, or can fail.

Error handling

  • Errors that callers can't use: (), String, or Box<dyn Error> as a library's public error type, an error enum without Display and std::error::Error, or anyhow::Error in a library's public API.
  • Errors that lose information: map_err(|_| ...), no source(), or messages without the path, line, or value that failed.
  • Panics used for expected failures, or catch_unwind used as control flow.

API design (strict for libraries)

  • Parameters: &String, &Vec<T>, or &Box<T> instead of &str, &[T], or &T; a bool parameter in a public signature; ownership taken and then cloned, or a borrow cloned internally to get ownership; impl Into<T> in application code, or on a library function too rarely called to justify a copy per argument type.
  • Return types: a library function that collects into a Vec only to return it, when an iterator would do. Owned results are fine when callers need ownership or random access, or when building the collection is the function's job.
  • Visibility: public fields that should be private, Rc, RefCell, or Arc in public signatures, or third-party types leaking into the API.
  • Missing standard traits: Debug on public types, Display on errors, Default next to a zero-argument new(), and FromStr instead of an ad-hoc from_str method.
  • Naming: get_ prefixes on getters, as_/to_/into_ that don't match their cost and ownership, and Manager/Service/Util names.
  • Evolution: public enums or structs that should be #[non_exhaustive], or traits that should be sealed.

Idiom and clarity

  • Clones that exist only to satisfy the borrow checker.
  • Check-then-unwrap (if x.is_some() { x.unwrap() }), and match where a combinator is clearer, or the reverse.
  • String building with +, hand loops that are clearer as iterators, or iterator chains long enough to need a loop.
  • HashMap iteration order leaking into output or tests.
  • #![deny(warnings)] in source, #[allow] without a reason, and glob imports of external crates (a framework's documented prelude, such as bevy::prelude, is fine).

Documentation and tests

  • Public items without docs, and docs that restate the name.
  • Missing # Errors, # Panics, or # Safety sections where they apply.
  • Doc examples that use unwrap() instead of ?.
  • Logic with no tests, or tests that only restate constants.

The rust-best-practices skill and its references/ folder hold the full rules and their reasoning. If it is installed, read the relevant reference when a finding needs a rule you're unsure of. Otherwise, rely on the summary above.

4. Write the report

Use this structure:

# Rust review: <what was reviewed>

<One paragraph: what the code does, library or application, overall verdict, and the
single most important thing to fix. Say whether clippy and tests were run.>

## Must fix
### 1. <Short title> (`src/file.rs:42`)
**Rule:** <rule name and source, e.g. "Errors implement std::error::Error (C-GOOD-ERR,
Rust API Guidelines)">
**Problem:** <what is wrong and the concrete consequence, one or two sentences>
**Fix:**
```rust
<the smallest code change that fixes it>
```

## Should fix
### 2. ...

## Consider
### 3. ...

## What's already good
- <2 to 4 specific things the code does well>

How to sort findings:

  • Must fix means a bug, a soundness hole, a reachable panic, or an API mistake that becomes a breaking change once published.
  • Should fix means it works but violates a rule with a real cost, such as worse error messages, harder testing, or a confusing API.
  • Consider means style, naming, and polish.

Rules for each finding:

  • Cite a location as file:line for every finding (write whole file for a finding that has no single location, such as missing tests), and cite the rule with its source: an API Guidelines code such as C-GETTER, an Effective Rust item number, a Microsoft guideline code such as M-PANIC-ON-BUG, a clippy lint name, or "Google Rust Style Guide". A reader should be able to look the rule up.
  • Show the fix as code, kept to the lines that change. Don't rewrite whole functions.
  • Group repeats. One finding for "eight unwrap() calls on parse results", listing the lines, rather than eight findings.
  • Respect intent. If something looks deliberate, such as a documented quirk or a comment explaining it, mention it under Consider with the trade-off. Don't mark it Must fix.
  • Keep it proportionate. For a short file, five to ten findings is plenty. Don't pad the list, and don't hide a real bug among style nits.
  • "What's already good" is required. It tells the author what to keep and makes the rest credible.

5. Offer the lints

If the project lacks a [lints] table, end the report by suggesting the BeautifulRust lints config (lints/lints.toml and lints/clippy.toml in the BeautifulRust repo, https://github.com/morganlinton/BeautifulRust). It makes clippy catch most of the mechanical findings above automatically. Name two or three findings from this review that it would have caught.

Related Skills

View on GitHub
GitHub Stars1.6k
CategoryContent
Updated7d ago
Forks81

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions