smart-mutation-operator-generator

More from santosomar/general-secure-coding-agent-skills

• code-review-assistant

  Performs structured code review on a diff or file set, producing inline comments with severity levels and a summary. Checks correctness, error handling, security, and maintainability — in that priority order. Use when reviewing a pull request, when the user asks for a code review, when preparing code for merge, or when a second opinion is needed on a change.

  15

• dependency-resolver

  Diagnoses and resolves package dependency conflicts — version mismatches, diamond dependencies, cycles — across npm, pip, Maven, Cargo, and similar ecosystems. Use when install fails with a resolution error, when two packages require incompatible versions of a third, or when upgrading one dependency breaks another.

  4

• api-design-assistant

  Reviews and designs API contracts — function signatures, REST endpoints, library interfaces — for usability, evolvability, and the principle of least surprise. Use when designing a new public interface, when reviewing an API PR, when the user asks whether a signature is well-designed, or when planning a breaking change.

  2

• cd-pipeline-generator

  Generates deployment pipelines with environment promotion, approval gates, and rollback triggers based on target infrastructure. Use when wiring automated deployments from CI to staging/production, when the user asks for a release pipeline, or when adding promotion gates to an existing deploy workflow.

  1

• test-oracle-generator

  Generates test oracles — the "expected output" part of a test — by choosing among reference implementations, invariants, inverse functions, or differential comparison when the correct answer isn't obvious. Use when the hard part of testing is knowing what the right answer is, not generating inputs.

  1

• semantic-szz-analyzer

  Extends classic SZZ with semantic code understanding to reduce false positives and improve accuracy of bug-introducing commit identification. Use after classic SZZ has produced candidates, when SZZ precision is too low for the task, or when the user needs high-confidence bug-introduction data.

  1