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    Rust Code Doctor

    1

    Review Rust correctness, ownership, error handling, performance, and concurrency with focused verification.

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    Rust Code Doctor

    Rust Code Doctor

    Example session with this skill installed

    A Rust service clones large request bodies in several handlers and uses unwrap() in production paths. Create a refactor plan.

    • Read your context and instructions
    • Compiled the rust code doctor

    Rust Code Doctor: practical plan

    Refactor priorities

    Remove panic paths

    Trace each unwrap() and determine whether failure is impossible by invariant or should be handled. Replace with typed errors and add context at service boundaries. Avoid swallowing errors with defaults.

    Reduce costly clones

    Profile allocations before changing ownership. Borrow data where lifetimes remain clear, use Arc<[u8]> only when shared ownership is justified, and avoid premature complexity. Check whether deserialization can occur once and pass a compact domain object.

    Tests

    Add cases for malformed input, oversized body, downstream failure, cancellation and concurrent requests. Use property tests for parsing if inputs are varied.

    Performance verification

    Benchmark representative payload sizes and concurrency. Compare allocations, p95 latency and memory before and after.

    Reliability checks

    Review timeouts, backpressure, body limits, tracing and sensitive-data logging. Use Clippy and formatting in CI; pin compiler/toolchain as appropriate.

    Rollout

    Make small changes behind tests, deploy gradually, monitor error rates and preserve rollback. Report assumptions and measured tradeoffs.

    Measurement and review

    Record the baseline, source, date range, denominator and owner. Use one primary measure plus quality guardrails; compare like-for-like cohorts and disclose missing data. Treat estimates as scenarios, not observed outcomes.

    Risks and controls

    Check relevance, consent, disclosure, workload and downside before scaling. Keep an evidence trail, obtain human review for material commitments, and pause if trust, quality or compliance signals deteriorate.

    Next steps

    1. Confirm the goal, audience and available capacity.
    2. Gather the minimum evidence for a first test.
    3. Assign an owner, budget and review date.
    4. Run a small pilot, record outcomes and decide whether to iterate, expand or stop.

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    About this skill

    Create a practical, evidence-led Rust Code Doctor workflow. Review Rust correctness, ownership, error handling, performance, and concurrency with focused verification. Distinguish observations from assumptions, request missing inputs, give actionable recommendations with owners and measurable outcomes, and flag uncertainty. Avoid fabricated metrics, unsupported guarantees, deceptive tactics and unnecessary personal data.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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