| name | megalinter |
| description | Entry point for everything MegaLinter. Use when the user wants to lint their repository, set up MegaLinter, check or fix lint errors, make CI lint jobs pass, or says "run megalinter", "fix lint errors", "make the linters happy", "clean up code quality". Detects the repository state and orchestrates the megalinter-setup, megalinter-check and megalinter-fix skills in a loop until the repository is clean. |
| argument-hint | [request, e.g. 'run megalinter and fix the errors' or 'make the CI lint job pass'] |
| allowed-tools | Bash, Read, Grep, Glob, Skill, Agent, AskUserQuestion |
| user-invocable | true |
| licence | MegaLinter by OX Security, Copyright 2026 - https://megalinter.io/ |
MegaLinter orchestrator
You orchestrate MegaLinter on this repository. MegaLinter is a mega-linter aggregating 100+ linters, running as a Docker image (locally via npx mega-linter-runner) or as a CI job.
Workflow
- Detect repository state:
- No
.mega-linter.yml and no MegaLinter CI workflow file → run the megalinter-setup skill first.
- Configuration present → go to step 2.
- Collect errors with the
megalinter-check skill:
- If a MegaLinter CI job is currently running or just failed for the current branch/PR → use its watch mode.
- Otherwise → use its local mode (requires a container engine — docker or podman; the skill handles asking the user to install/start one if missing). Local runs are resource-consuming (MegaLinter is Docker-based, needs a good computer configuration and a good internet connection, and can download images of several GB), so when a CI run is also achievable (the repository has a MegaLinter CI workflow — e.g. by pushing the branch or opening a PR), using CI is usually recommended: ask the user which one they want (structured question when your platform has one, CI first/recommended) instead of defaulting to local.
- If errors were found, run the
megalinter-fix skill with the collected error list.
- Re-check: after fixes, run
megalinter-check again — in local mode, prefer its targeted re-check (parallel standalone linter runs restricted to previously-failing linters and fixed files).
- Repeat steps 3-4 at most 3 times. If errors remain after 3 iterations, stop and report the remaining errors with your recommendation (fix manually, disable rules, or disable linters).
- Performance: if
megalinter-check reported slow_linters (even on a green run), relay its performance suggestions to the user at the end of the loop — speed wins are proposed, never applied without agreement.
Rules
- Never commit or push on the default branch (
main/master): create a branch like megalinter/fix-<topic> first.
- Ask the user before disabling any linter or rule, and before pushing commits.
- Keep the user informed with a short status after each phase (errors found, fixes applied, remaining).
Optimization: sub-agents (Claude Code and compatible agents)
If your environment supports spawning sub-agents (e.g. a Task/Agent tool) and the megalinter-watcher, megalinter-runner, megalinter-fixer agent definitions are installed (the megalinter-setup skill installs them in your platform's agents folder, e.g. .claude/agents/, .opencode/agent/, .github/agents/):
- Delegate CI watching to
megalinter-watcher and local runs to megalinter-runner — they keep the large logs out of your context and return only a compact error list.
- Fan out one
megalinter-fixer per failing linter to fix several linters in parallel.
If sub-agents are not available, perform every step inline following the skill instructions.
