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python-style

Testing & Quality
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Reviews anomalib Python style, typing, imports, and public API conventions

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Source SKILL.md: https://github.com/open-edge-platform/anomalib/blob/HEAD/.agents/skills/python-style/SKILL.md

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Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

Anomalib Python Style Review

Use this skill when reviewing Python code in src/anomalib/ or tests/.

Purpose and scope

This skill covers Python style, typing, imports, exports, copyright headers, and basic code hygiene.

Core rules

  • Target the repository's Python baseline.
  • Follow the Ruff-configured line length of 120 characters.
  • Match nearby anomalib code before suggesting stylistic rewrites.
  • Prefer explicit, readable code over clever shortcuts.

Request changes when

  • public APIs are missing type annotations;
  • new code introduces weak typing such as unnecessary Any or untyped public **kwargs;
  • imports or exports drift from nearby package patterns;
  • a touched Python file is missing the expected copyright/SPDX header;
  • error handling becomes less explicit or debug code is left behind.

Typing

  • Public functions, methods, and constructors should have explicit type annotations.
  • Prefer repository-established typing patterns such as X | None, type[...], Sequence[...], TypeVar, and Generic where they fit.
  • Do not weaken types without a strong reason.
  • Flag vague escape hatches such as unnecessary Any, broad untyped **kwargs, or type suppressions that hide real issues.

Imports and exports

  • Keep imports grouped as standard library, third-party, then local imports.
  • Prefer absolute imports inside anomalib.
  • When a public symbol is added to an __init__.py, verify that __all__ stays accurate.

Copyright and license header

  • Python source files should include the standard Intel copyright and SPDX header used across the repository.
  • For a new file, use the current year only, for example:
    • # Copyright (C) 2026 Intel Corporation
    • # SPDX-License-Identifier: Apache-2.0
  • For an existing file updated in 2026, ensure the year or year range includes 2026.
    • Example: update 2024 to 2024-2026.
    • Example: keep 2026 for a single-year file created in 2026.

Error handling and code hygiene

  • Catch specific exceptions instead of broad or silent failure patterns.
  • Ask for explicit exceptions and informative error messages.
  • Flag debug prints, dead code, commented-out code, and magic values that should be named constants or config.
  • Prefer explicit validation with raised exceptions over fragile assumptions.

Repo-grounded review anchors

  • pyproject.toml defines Ruff, pydocstyle, mypy, pytest, and Commitizen expectations.

Reviewer checklist

  • Check typing on public APIs.
  • Check imports and exports.
  • Check the copyright/SPDX header on touched Python files.
  • Check for obvious code hygiene regressions.