/validator-setup
Scan the project to discover tooling and configure checks and reviews for agent-validator.
Before starting, read references/check-catalog.md for check category details, YAML schemas, and example configurations.
Step 1: Check config exists
Read .validator/config.yml. If the file does not exist, tell the user to run agent-validate init first and STOP — do not proceed with any further steps.
Step 2: Check existing config
Read the entry_points field from .validator/config.yml.
Before deciding whether this project is already configured, inspect the git state of .validator/:
- If this is a git repo, run
git status --porcelain -- .validator. - If
.validator/or.validator/config.ymlis untracked or newly added, treat this as a fresh install even though the directory exists.agent-validate initcreates the scaffold first;/validator-setupstill needs to configure checks and entry points. - If git is unavailable, the project is not a git repo, or the status is ambiguous, do not claim Agent Validator was previously set up. Ask the user whether this is a new install or an existing configuration they want to modify.
Do not conclude "nothing to do" or "already set up" merely because .validator/ exists. Only treat the project as an existing setup when the committed config already contains meaningful entry points/checks, or the user confirms it is existing.
If entry_points is empty ([]) OR contains only the generated root entry point (path: ".") with no checks: This is a fresh setup. Proceed to Step 3 (detect project structure). Preserve any existing reviews on that generated root entry point unless the user explicitly reconfigures reviews.
If entry_points is populated: Show the user a summary of the current configuration:
List each entry point with its
path,checks, andreviewsThen 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 config first:
- Rename each
.validator/checks/*.ymlfile to.yml.bak(overwrite any previous.bakfiles) — these are legacy file-based checks - Rename each custom
.validator/reviews/*.mdfile to.md.bak(overwrite any previous.bakfiles) - Do NOT rename
.validator/reviews/*.ymlfiles (these are built-in review configs) - Clear
entry_pointsto[]inconfig.yml - Proceed to Step 3
- Rename each
- Add checks — Scan for tools not already configured. Proceed to Step 3, but filter out any checks that already appear in
Step 3: Detect project structure
Scan for signals to classify the project as monorepo, split project, or single project.
Monorepo signals
package.jsonwith aworkspacesfieldpnpm-workspace.yamllerna.json,nx.json,turbo.jsonCargo.tomlwith a[workspace]section- Multiple subdirectories under
packages/,apps/, orservices/each containing their own project manifest (package.json,go.mod,Cargo.toml,pyproject.toml)
Split project signals
frontend/+backend/(orclient/+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 likeapps/*
Single project signals
src/orlib/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, suggestsrc - If
lib/exists and contains source code, suggestlib - 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.
Step 5: Scan for tooling
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 (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 — Add checks inline in the entry point's checks array. Each inline check is a single-key object (check name → config object). Include command. Add optional fields (run_in_ci, run_locally) only when they differ from defaults. See references/check-catalog.md for schema. Do NOT add a top-level checks map — inline checks belong under entry_points.
Custom reviews — Create .validator/reviews/<name>.md with YAML frontmatter (num_reviews: 1) and review prompt.
Built-in reviews — Add built-in reviews inline in the entry point's reviews array (e.g. - code-quality: { builtin: code-quality }). Do not create a separate file for built-in reviews.
Update entry_points in .validator/config.yml:
entry_points:
- path: "<source_dir>"
checks:
- build:
command: npm run build
- lint:
command: npx eslint .
reviews:
- code-quality:
builtin: 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. A check or review defined inline in one entry point can be referenced by name (as a string) in other entry points.
Step 9: "Add something else?"
Ask the user. If yes, loop to Step 7. If no, proceed.
Step 10: Validate
Run agent-validate 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 validator configuration and skills so the setup is preserved in version control:
- Stage all new/modified files:
.validator/,.claude/skills/validator-*/,.claude/settings.local.json,.gitignore - Create a commit:
git commit -m "chore: configure agent-validator checks and reviews"
If there are no changes to commit (everything already committed), skip this step silently.
Step 12: Advance validator baseline
Run /validator-skip to advance the execution state baseline to the current working tree, so the next run only diffs against future changes.
Step 13: Suggest next steps
Tell the user: configuration is complete. Run /validator-run to execute, or /validator-setup again to add more.