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Precommit Setup

  • 115 installs
  • 325 repo stars
  • Updated August 2, 2026
  • athola/claude-night-market

Mirror local pre-commit hooks in GitHub Actions or GitLab CI so PRs fail on the same checks developers run before push.

About

Precommit-setup’s CI integration module gives solo and indie builders copy-paste GitHub Actions and GitLab-oriented patterns that run the same thorough checks as local pre-commit. The emphasis is parity: when CI only runs a subset of hooks, green pipelines still hide defects that block teammates locally. The documented flow checks out the repo, pins Python 3.12, installs uv, syncs dependencies, and executes a single comprehensive quality script—optionally uploading coverage—so one command surface exists from laptop to runner. A layered pre-commit-config example shows fast global hooks (YAML/TOML/JSON, whitespace) plus Astral Ruff with --fix. Use it while standing up or refactoring quality.yml on a Python or polyglot repo where pre-commit is already the source of truth, before merging workflow changes that could silently weaken gates.

  • GitHub Actions workflow pattern calling the same comprehensive check script as pre-commit
  • Documents drift between local hooks and CI as the root cause of “works on my machine” PRs
  • Complete Python monorepo example wiring pre-commit-hooks, Ruff fix/format, and uv sync
  • Codecov upload step for coverage.xml after unified quality script
  • Child module (ci-integration) loads when configuring CI to match pre-commit

Precommit Setup by the numbers

  • 115 all-time installs (skills.sh)
  • Ranked #523 of 1,435 DevOps & CI/CD skills by installs in the Skillselion catalog
  • Security screen: MEDIUM risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/athola/claude-night-market --skill precommit-setup

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Installs115
repo stars325
Security audit2 / 3 scanners passed
Last updatedAugust 2, 2026
Repositoryathola/claude-night-market

What it does

Mirror local pre-commit hooks in GitHub Actions or GitLab CI so PRs fail on the same checks developers run before push.

Files

SKILL.mdMarkdownGitHub ↗

Pre-commit Setup Skill

Configure a three-layer pre-commit quality system that enforces linting, type checking, and testing before every commit.

When To Use

  • Setting up a new project with code-quality enforcement
  • Adding pre-commit hooks to an existing project
  • Upgrading from basic linting to a full quality system
  • Setting up monorepo or plugin architecture with

per-component quality checks

  • Updating pre-commit hook versions

When NOT To Use

  • Pre-commit hooks already configured and working optimally
  • Project does not use git version control
  • Team explicitly avoids pre-commit hooks for workflow reasons

Philosophy: Three-Layer Defense

The system is organised in three layers, each with a different cost / coverage tradeoff:

  • Layer 1: Standard hooks: fast global checks

(50-200ms total). Lints and type-checks every staged file.

  • Layer 2: Component-specific checks: per-component

lint, typecheck, and test (10-30s total). Only the components touched by the staged files are run.

  • Layer 3: Validation hooks: project-specific

structure and pattern checks (varies). Catches violations that generic linters miss.

This layering keeps the fast feedback loop fast while still catching the slow / project-specific bugs before they land.

Module Loading

The detailed configuration patterns are in modules; load only the ones you need:

  • modules/standard-hooks.md: Layer 1 patterns for

Python, Rust, and TypeScript (load when configuring base linters).

  • modules/component-level-hooks.md: Layer 2 monorepo

scripts and pre-commit wiring (load when project has multiple components / plugins).

  • modules/validation-hooks.md: Layer 3 custom hooks

and SKIP patterns (load when enforcing project conventions beyond linting).

  • modules/ci-integration.md: GitHub Actions workflow

plus a complete .pre-commit-config.yaml example (load when wiring CI to mirror local checks).

  • modules/troubleshooting.md: timing tables, cache

clearing, hook-failure recovery (load when hooks are slow or failing).

Workflow

1. Create Configuration Files

\\\`bash

Create .pre-commit-config.yaml

python3 plugins/attune/scripts/attune_init.py \\ --lang python \\ --name my-project \\ --path .

Create quality check scripts (for monorepos)

mkdir -p scripts chmod +x scripts/run-component-*.sh \\\`

2. Configure Python Type Checking

Create pyproject.toml with strict type checking:

\\\`toml [tool.mypy] python_version = "3.12" warn_return_any = true warn_unused_configs = true disallow_untyped_defs = true strict = true

Per-component configuration

[[tool.mypy.overrides]] module = "plugins.*" strict = true \\\`

3. Configure Testing

\\\`toml [tool.pytest.ini_options] testpaths = ["tests"] pythonpath = ["src"] addopts = [ "-v", # Verbose output "--strict-markers", # Strict marker enforcement "--cov=src", # Coverage for src/ "--cov-report=term", # Terminal coverage report ]

markers = [ "slow: marks tests as slow (deselect with '-m \\"not slow\\"')", "integration: marks tests as integration tests", ] \\\`

4. Install and Test Hooks

\\\`bash

Install pre-commit tool

uv sync --extra dev

Install git hooks

uv run pre-commit install

Test on all files (first time)

uv run pre-commit run --all-files

Normal usage - test on staged files

git add . git commit -m "feat: add feature"

Hooks run automatically

\\\`

5. Create Manual Quality Scripts

For full quality checks (CI/CD, monthly audits):

\\\`bash #!/bin/bash

scripts/check-all-quality.sh: full quality check for all components

set -e

echo "=== Running Full Quality Checks ==="

./scripts/run-component-lint.sh --all ./scripts/run-component-typecheck.sh --all ./scripts/run-component-tests.sh --all

echo "=== All Quality Checks Passed ===" \\\`

Hook Execution Order

Pre-commit hooks run in this fixed order; all must pass for the commit to succeed:

1. File validation (whitespace, EOF, YAML/TOML/JSON syntax) 2. Security scanning (bandit) 3. Global linting (ruff, all files) 4. Global type checking (mypy, all files) 5. Component linting (changed components only) 6. Component type checking (changed components only) 7. Component tests (changed components only) 8. Custom validation (structure, patterns, etc.)

Best Practices

For New Projects

Start with strict settings from the beginning: they are easier to maintain over time. Configure type checking with strict = true in pyproject.toml, set up testing early (include pytest in pre-commit), and document the reason whenever you must skip a hook.

For Existing Projects

Use a gradual adoption strategy. Start with global checks (Layer 1), then add component-specific checks (Layer 2) once legacy issues are resolved. Use --no-verify only for true emergencies and document why.

For Monorepos and Plugin Architectures

Standardize per-component Makefiles for lint, typecheck, and test targets. Centralize common settings in a root pyproject.toml while allowing per-component overrides. Automate change detection so commits stay fast, and use progressive disclosure (summary first, detail on failure).

Related Skills

  • Skill(attune:project-init): Full project initialization
  • Skill(attune:workflow-setup): GitHub Actions setup
  • Skill(attune:makefile-generation): Generate component

Makefiles

  • Skill(pensive:shell-review): Audit shell scripts for

exit-code and safety issues

See Also

  • Quality Gates: three-layer validation: pre-commit

hooks (formatting, linting), CI checks (tests, coverage), and PR review gates (code quality, security).

Related skills

FAQ

Is Precommit Setup safe to install?

skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

DevOps & CI/CDdevopstestinggit

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