ConfigGenerator

Git Hooks Generator

Generate Git hook scripts for pre-commit, commit-msg, pre-push, post-merge, linting, tests, formatting, branch checks, and automation.

Output:A ready-to-use configuration file for Git Hooks with best practices applied.

Hook Setup

Pre-Commit Hook

- Run checks before every commit.
- Run linters only on staged files (fastest).
- Lint the entire project.
- Check formatting on staged files.

Commit-Msg Hook

- Validate commit messages.
- Enforce conventional commit format.

Pre-Push Hook

- Run checks before pushing to remote.

Custom Commands

Quick Summary

Use a Git Hooks Generator when you need pre-commit, commit-msg, pre-push, or post-merge scripts to automate local repository checks like linting and testing.

What is this tool?

Git Hooks are native scripts that Git executes before or after events such as commit, push, and receive. A Git Hooks Generator creates the bash logic required to run tools like ESLint, Prettier, or Pytest before a commit is allowed, preventing bad code from being tracked.

Native Git Hooks Example (pre-commit)

#!/bin/sh

# Run linter
npm run lint

# If linter fails, abort commit
if [ $? -ne 0 ]; then
  echo "Linting failed. Commit aborted."
  exit 1
fi

How to Use This Tool

  1. Select the type of hook you want to create (e.g., pre-commit, commit-msg, pre-push).
  2. Select the actions the hook should perform (Linting, Formatting, Unit tests).
  3. Generate the bash script.
  4. Place the script in .git/hooks/ (e.g., .git/hooks/pre-commit) and make it executable (chmod +x).

What This Tool Generates

  • .git/hooks/pre-commit - Runs before a commit is created.
  • .git/hooks/commit-msg - Validates the commit message format.
  • .git/hooks/pre-push - Runs before code is pushed to a remote repository.

Best Practices

  • Keep pre-commit hooks fast (under 5 seconds) to avoid frustrating developers. Run long test suites in pre-push or CI instead.
  • To share hooks with your team, use a tool like Husky (for npm), pre-commit (for Python), or configure <code>core.hooksPath</code> to point to a committed folder.

Security Notes

  • Review all generated hook scripts before running them. Malicious hooks can execute unsafe shell commands.
  • Never automatically execute hooks obtained from untrusted repositories.
  • Understand that developers can bypass hooks using the <code>--no-verify</code> flag. Always enforce checks on the server side (e.g., via GitHub Actions) as well.

Frequently Asked Questions

What is a Git Hooks Generator?
It is a tool that writes the shell script logic required to run automated tasks immediately before or after Git actions, such as committing or pushing code.
What are Git hooks?
Git hooks are custom scripts that live in the .git/hooks/ directory and execute automatically when specific Git events occur.
How do I create a Git hook?
Generate the script using this tool, save it without an extension (e.g., 'pre-commit') in your repository's .git/hooks/ directory, and run 'chmod +x .git/hooks/pre-commit' to make it executable.
What is a pre-commit hook?
A pre-commit hook is a script that runs before you even type a commit message. It's typically used to inspect the code being committed (e.g., running a linter or formatter).
What is a commit-msg hook?
A commit-msg hook runs after you enter your commit message but before the commit is finalized. It is used to validate that the message follows specific rules, such as Conventional Commits.
Can I use Git hooks with npm?
Yes, in Node.js projects, tools like Husky are often used to manage and share Git hooks via npm scripts seamlessly across a team.
Can I use Git hooks with Python?
Yes, Python projects heavily utilize the 'pre-commit' framework to manage multi-language hooks via a .pre-commit-config.yaml file.
How do I share Git hooks with a team?
By default, the .git directory is not tracked. To share hooks, you must use a package like Husky, or commit your hooks to a tracked directory like '.githooks' and run 'git config core.hooksPath .githooks'.

How We Keep Your Configs Safe & Valid

Built-in Error Checking

Every file is checked against official rules. We catch missing fields and bad syntax. YAML indentation errors are flagged right away. Kubernetes, Terraform, and Docker specs are all covered. API versions and labels are verified too. You get valid output every time you generate.

100% Private & Local

All tools run in your browser only. Your API keys never leave your machine. We do not use any tracking scripts. No data is sent to any server. Passwords and secrets stay on your device. Crypto operations use the Web Crypto API. Your privacy is fully protected at all times.

Secure Settings by Default

Configs use safe defaults out of the box. Containers run as non-root users. Root filesystems are set to read-only. Dangerous Linux capabilities are dropped. Network policies limit pod-to-pod traffic. TLS 1.3 is enabled for web servers. Security headers are added where needed.

Ready for CI/CD & Git

Output files are ready for your Git repo. Use them with ArgoCD, Flux, or GitHub Actions. Files use clear formatting and comments. Code review is easy for your team. Indentation and key order are consistent. Test in staging before going to production. Every file is clean and well-structured.

Infrastructure as Code

Store configs in Git alongside your code. Terraform modules include typed variables. Backend configs support remote state locking. Outputs work across multiple modules. Ansible playbooks use clear task steps. Chef and Puppet configs are also supported. Every file works with version control tools.

Monitoring & Tracing

Set up Prometheus with auto-discovery rules. Create Grafana dashboards with template variables. Add alerting rules with severity labels. Use OpenTelemetry for trace collection. Forward logs to Loki or Elasticsearch. Connect to Jaeger or Tempo for tracing. Monitor metrics, logs, and traces together.

Container & Docker Safety

Dockerfiles use multi-stage builds for small images. Base images are pinned to exact versions. Dev files are excluded from final images. Health checks are added for orchestrator use. Containers switch to non-root users. Docker Compose uses named volumes and networks. Resource limits are set in deploy configs.

Multiple Output Formats

Export as YAML, JSON, HCL, or TOML. Kubernetes uses YAML with proper separators. Terraform uses HCL with correct escaping. JSON output has consistent indentation. Copy to clipboard with one click. Preview output with syntax highlighting. Line numbers help you review quickly.