Run static analysis on Python files with ruff, ty, complexipy, and semgrep.
npx skills add https://github.com/axel-kaliff/dotfiles --skill analyse-axel-kaliff
Please help me install this Agent Skill. Skill: analyse Source: https://github.com/axel-kaliff/dotfiles/tree/main/claude/.claude/skills/analyse Command: npx skills add https://github.com/axel-kaliff/dotfiles --skill analyse-axel-kaliff
It provides a single, deterministic way to run multiple static-analysis tools across Python files and surface linting, type, complexity, and forbidden-pattern issues so developers can catch regressions and style violations before committing.
Run analyse on the current branch to scan changed Python files and produce a deterministic scorecard with detailed findings.
High-intent search queries and answers about installing and using this skill.
Python static analysis can target changed files by cascading through uncommitted changes, staged files, or branch diffs against main/master, falling back to a full-repo scan when no changes are detected.
Combining ruff, semgrep, ty, and complexipy into one scorecard is done by running these tools in parallel and collating linting, type, cognitive complexity, and forbidden-pattern findings into a single deterministic report.
Logic regressions in a Python branch diff can be detected using an optional branch-level check that compares old versus new function behavior during the static analysis scan.
Cognitive complexity analysis for Python code is performed by integrating complexipy, which evaluates how difficult functions are to understand, and surfaces these metrics alongside linting and type violations.
No external dependencies are required to run the static analysis, as it orchestrates ruff, ty, complexipy, and semgrep internally with a grep fallback to produce deterministic results.
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