/gauntlet-setup
Scan the project to discover tooling and configure checks and reviews for agent-gauntlet.
Before starting, read references/check-catalog.md for check category details, YAML schemas, and example configurations.
Step 1: Check config exists
Read .gauntlet/config.yml. If the file does not exist, tell the user to run agent-gauntlet init first and STOP — do not proceed with any further steps.
Step 2: Check existing config
Read the entry_points field from .gauntlet/config.yml.
If entry_points is empty ([]): This is a fresh setup. Proceed to Step 3 (detect project structure).
If entry_points is populated: Show the user a summary of the current configuration:
-
List each entry point with its path, checks, and reviews
-
Then ask the user which action to take:
- Add checks — Scan for tools not already configured. Proceed to Step 3, but filter out any checks that already appear in
entry_points.
- Add custom — User describes what they want to add. Skip to Step 7.
- Reconfigure — Start fresh. Back up existing files first:
- Rename each
.gauntlet/checks/*.yml file to .yml.bak (overwrite any previous .bak files)
- Rename each custom
.gauntlet/reviews/*.md file to .md.bak (overwrite any previous .bak files)
- Do NOT rename
.gauntlet/reviews/*.yml files (these are built-in review configs)
- Clear
entry_points to [] in config.yml
- Proceed to Step 3
Step 3: Detect project structure
Scan for signals to classify the project as monorepo, split project, or single project.
Monorepo signals
package.json with a workspaces field
pnpm-workspace.yaml
lerna.json, nx.json, turbo.json
Cargo.toml with a [workspace] section
- Multiple subdirectories under
packages/, apps/, or services/ each containing their own project manifest (package.json, go.mod, Cargo.toml, pyproject.toml)
Split project signals
frontend/ + backend/ (or client/ + server/, web/ + api/) directories each containing source code and/or their own project manifest
- Multiple apps or libraries of the same language under a common parent directory (e.g.,
apps/web/, apps/api/, apps/worker/ each with their own source and config) — suggests a wildcard entry point like apps/*
Single project signals
src/ or lib/ as sole source directory, or source files at project root
- No monorepo or split project signals found
If monorepo or split project: Read references/project-structure.md for detailed multi-project entry point guidance, then follow it for Steps 4 through 8. The rest of this file covers the single-project flow.
If single project: Tell the user what you detected and continue below.
Step 4: Determine entry point path
Infer the source directory:
- If
src/ exists and contains source code, suggest src
- If
lib/ exists and contains source code, suggest lib
- Otherwise suggest
. (project root — safer default since it captures all changes)
Skip this step if adding checks to an existing entry point that already has a path.
Scan the project for tooling signals across the 6 check categories listed in references/check-catalog.md.
For the "add checks" path: Filter out checks already configured in entry_points.
If no tools discovered: Offer the custom flow (skip to Step 7). Still include code-quality review.
Step 6: Present findings and confirm
Show a table of discovered checks:
Category | Tool | Command | Confidence
----------------|-----------------|--------------------------------------|-----------
Build | npm | npm run build | High
Lint | ESLint | npx eslint . | High
Typecheck | TypeScript | npx tsc --noEmit | High
Test | Jest | npx jest | High
Security (deps) | npm audit | npm audit --audit-level=moderate | Medium
Security (code) | Semgrep | semgrep scan --config auto --error . | Medium
Confidence levels:
- High — Tool config file found AND/OR explicit script in package.json/Makefile
- Medium — Tool found in devDependencies or inferred from CI workflow but no dedicated config
- Low — Only indirect evidence (e.g., test directory exists but no runner config found)
If a category has no discovered tool, show (not found) with — for command and confidence.
Ask the user:
- Which checks to enable (default: all)
- Whether any commands need adjustment
If the user declines ALL checks, still include code-quality review and offer the custom flow (Step 7).
After confirmation, proceed to Step 8 (create files).
Step 7: Add custom
Ask the user: check (shell command) or review (AI code review)?
For checks: Ask for command, name, and optional settings (timeout, parallel, run_in_ci, run_locally).
For reviews: Built-in (code-quality) or custom prompt? Ask for name and write the review content.
Step 8: Create files and update config
Checks — Create .gauntlet/checks/<name>.yml with command, parallel: true, run_in_ci: true, run_locally: true. Add optional fields only when specified. See references/check-catalog.md for schema.
Custom reviews — Create .gauntlet/reviews/<name>.md with YAML frontmatter (num_reviews: 1) and review prompt.
Built-in reviews — Create .gauntlet/reviews/<name>.yml with builtin: code-quality and num_reviews: 1.
Update entry_points in .gauntlet/config.yml:
yaml
1entry_points:
2 - path: "<source_dir>"
3 checks:
4 - <check-name-1>
5 - <check-name-2>
6 reviews:
7 - code-quality
Always include code-quality in reviews for fresh setups. For "add checks" / "add custom": append to the appropriate entry point's lists, or add a new entry point if needed.
Step 9: "Add something else?"
Ask the user. If yes, loop to Step 7. If no, proceed.
Step 10: Validate
Run agent-gauntlet validate. If it fails, apply one corrective attempt and re-validate. If it still fails, STOP and ask the user.
Step 11: Commit configuration
Commit all gauntlet configuration and skills so the setup is preserved in version control:
- Stage all new/modified files:
.gauntlet/, .claude/skills/gauntlet-*/, .claude/settings.local.json, .gitignore
- Create a commit:
git commit -m "chore: configure agent-gauntlet checks and reviews"
If there are no changes to commit (everything already committed), skip this step silently.
Step 12: Suggest next steps
Tell the user: configuration is complete. Run /gauntlet-run to execute, or /gauntlet-setup again to add more.