# Tools

> Every listed resource, editors’ picks first. The filters below can be combined.

- Search: append `?q=<keywords>` to the URL. Separate several keywords with spaces; all of them must match. Matches name, repository, tags, professions, description and README.
- Filter by type: append `?type=<cli|skill|plugin|mcp>` to the URL.
- Filter by profession: append `?profession=<profession id>` to the URL. Separate several ids with commas; a resource matches when it suits any of them. Ids are listed at https://hebbmind.com/api/v1/professions
- Filter by tag: append `?tag=<tag>` to the URL. Separate several tags with commas; a resource must carry all of them. Tags are listed at https://hebbmind.com/api/v1/tags

Tagged `github-actions`: 5 items.

- [act](https://hebbmind.com/ko/cli/act.md): [CLI] Runs GitHub Actions workflows locally in Docker, so you can test .github/workflows changes without repeated commits and pushes, or use workflows as a local task runner. Needs Docker installed.
- [zizmor](https://hebbmind.com/ko/cli/zizmor.md): [CLI] Static security analysis for CI/CD config: finds template injection, credential leaks, excessive permissions and more in GitHub Actions workflows, also covers Dependabot and pre-commit configs, and auto-fixes some findings.
- [GitHub Agentic Workflows](https://hebbmind.com/ko/cli/gh-aw.md): [CLI] GitHub's official gh extension for writing Actions workflows in Markdown that AI agents execute, compiled into standard Actions. Choose engines like Copilot, Claude Code or Codex; runs in a read-only sandbox by default. Requires gh.
- [Build Iterated Agentic Loop](https://hebbmind.com/ko/skill/build-iterated-agentic-loop.md): [Skill] Turns a repeatable agent task into a repo-local skill plus a GitHub Actions workflow that runs a coding agent (Claude Code, Codex, OpenCode or CodeLayer) on a schedule, with a prompt, memory file and one-open-PR bound. Reads the repo first, then walks you through cadence, scope and validation.
- [Design Control Loop](https://hebbmind.com/ko/skill/design-control-loop.md): [Skill] Interviews you to design an agentic control loop for your codebase in control-theory terms: a set point, a sensor built from existing tooling, a controller that picks small low-risk changes, and a coding agent that opens PRs. Builds each part to run locally before wiring a scheduled CI workflow.