code-quality

code-quality is an Automated checks & quality gates skill for AI agents, published by oborchers in the fractional-cto repository on GitHub. Skillspace rates code-quality C (72/100) and it passed the safety scan; the rating is based on static analysis only.

This skill should be used when the user is configuring Ruff, setting up mypy, adding type hints, choosing between mypy and pyright, writing py.typed markers, modernizing type annotations (PEP 695/649), using TYPE_CHECKING, setting up pre-commit hooks, configuring ruff format, choosing lint rule sets, or reviewing code quality tooling. Covers Ruff rule sets, mypy strict mode, pyright, modern typing patterns, pre-commit configuration, formatting, and complexity thresholds.

Grade
C
Quality
72 / 100
Safety
Passed
GitHub stars
25

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

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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