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Automation
Skill

/verifier-setup

Set a repo up to prove engineering-task work actually works before it ships. Investigates the repo, ensures a one-command dev stack (`dev-local`) exists, asks whether verification runs locally or in a sandbox (crabbox), confirms/installs the driver (the `playwright-cli` skill

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ai-builder-club-skills
1.2k10 skills
Install
$ npx -y skills add AI-Builder-Club/skills --skill verifier-setup --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/verifier-setup

Context preview

The summary Claude sees to decide when to auto-load this skill.

Set a repo up to prove engineering-task work actually works before it ships. Investigates the repo, ensures a one-command dev stack (`dev-local`) exists, asks whether verification runs locally or in a sandbox (crabbox), confirms/installs the driver (the `playwright-cli` skill

SKILL.md

verifier-setup.SKILL.md
name: verifier-setup
description: >
  Set a repo up to prove engineering-task work actually works before it ships.
  Investigates the repo, ensures a one-command dev stack (`dev-local`) exists, asks
  whether verification runs locally or in a sandbox (crabbox), confirms/installs the
  driver (the `playwright-cli` skill for web by default). Outputs three artifacts: a
  committed `/verify` skill (per-task verification SOP — spawn a verifier sub-agent →
  drive the app → screenshot/video proof → open a PR with the proof embedded), the
  `/dev-local` skill + script, and the installed driver skill. Use when someone says
  "set up verification", "make this repo verifiable", "scaffold a verify skill",
  "set up the verifier".
user_invocable: true

verifier-setup — scaffold this repo's `/verify` skill

Goal: leave the repo able to *prove an engineering task works before it ships* — run once, and it wires up everything the per-task `/verify` loop needs.

You are **setting up** — not verifying anything yourself right now. The `/verify` template lives at `assets/verify.template.md` (next to this skill). Parallels `dev-local-setup` (which generates a script + its skill doc): a setup skill that leaves behind reusable, repo-specific artifacts.

What this produces (the outputs)

Running `verifier-setup` end-to-end leaves the repo with: 1. **A `/verify` skill** — `.claude/skills/verify/SKILL.md`, the repo-tailored per-task verification SOP (spawn a verifier sub-agent → drive the app → screenshot/video proof → open a PR with the proof embedded). Generated in Step 5. 2. **A `/dev-local` skill + its script** — `scripts/dev-local.sh` **and** `.claude/skills/dev-local/SKILL.md`, via `dev-local-setup` (Step 2) if not already present. The one-command stack `/verify` depends on. 3. **The driver skill installed** — the `playwright-cli` skill for web apps (Step 2); for non-web, the concrete exercise tool confirmed present.

Step 0 — Inventory what already exists (check before you add ANYTHING)

Before creating anything, take stock — the repo may already have some of this, under whatever name or layout its team chose. Look for the **capability**, not a specific filename; the paths below are only examples. For each, decide **reuse as-is / adapt-extend / create fresh** — never blindly overwrite working setup:

  • **A way to start the app** — a one-command dev launcher, a `Makefile`/`Procfile`

target, `docker-compose`, package scripts (e.g. `scripts/dev-local.sh`, but any form counts).

  • **A prior verification SOP/skill** — from an earlier run of this skill or the

team's own convention.

  • **A driver for the app's interface** — a browser automation tool already available

(e.g. the `playwright-cli` skill), or the relevant API/CLI client.

  • **An existing test/e2e suite or checks** — however organized.
  • **Sandbox/cloud-box config** — anything giving isolated per-agent stacks.
  • **An evidence/artifact convention** — where proof lands and how a reviewable

link gets published (a release, bucket, CI artifacts, etc.).

Every later step is conditional on this inventory: if a capability exists and works, **reuse and adapt it** (fill gaps, don't regenerate); only create what's missing.

Step 1 — Investigate the repo (don't guess)

Discover the real facts the generated skill will hardcode:

1. **How the app is exercised** — is it a **web app** (has a browser UI + a dev server on a port), an **API/service** (HTTP endpoints, no UI), a **CLI**, or a desktop/mobile app? This picks the driver. 2. **Stack launcher** — is there already a way to start the app (any form — see Step 0)? Note the up-command and the app URL/port. If none, Step 2 handles it. 3. **Auth** — is the primary flow login-gated? Is there a session/auth helper the verifier can mint a session with (see `e2e-setup`)? Record it, or "n/a". 4. **Regression checks** — the repo's fast codified checks (type-check, lint, unit, existing e2e commands) from `package.json`/`Makefile`/`turbo.json`/etc. 5. **Proof upload** — how a reviewable video URL is produced (a `pr-evidence` GitHub prerelease via `gh release upload` is the default; a bucket/CI artifact works too).

Step 2 — Ensure the prerequisites exist (reuse-or-provide, per the Step 0 inventory)

For each, act on what Step 0 found — reuse if present, adapt if partial, create only if missing. Each check is idempotent; a no-op on what's already there:

  • **Dev stack.** If any working way to start the app already exists (a launcher

script, Make/Procfile target, compose, package scripts), **reuse it** — read it for the up-command/port/services and move on (extend only if a needed service is missing). If there's none, scaffold one via **`dev-local-setup`** (don't hand-roll a launcher here). The generated `/verify` just needs a reliable one-command up.

  • **Driver skill.**
  • **Web** → install/confirm the **`playwright-cli` skill** (it documents + wraps

the browser driver). Ensure its binary is callable too (`npx --yes @playwright/cli --version`; install it + the `chrome` channel if missing). This closes the usual local gap where the browser driver was assumed but never installed.

  • **Non-web** → confirm the concrete exercise tool exists (an HTTP client for an

API, the built binary for a CLI). No browser skill needed.

  • **Evidence dir.** Ensure `evidence/` is gitignored (proof output lands there).

Step 3 — Ask the user: local or sandbox?

Present the choice (default and recommend **local** — it's simpler to stand up):

  • **Local** — one dev stack on the machine (`scripts/dev-local.sh up`). Best for a

single task at a time. Recommend this unless they need parallelism.

  • **Sandbox (crabbox)** — an isolated cloud box per agent, for **concurrent** loops

or a fixed-port/single-instance stack. If chosen and not yet set up, scaffold via **`crabbox-setup`**; the generated skill drives the app in-box via `cbx.sh pw`.

Record the pick as the ge

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A Claude Code plugin marketplace of the skills we share at for building loop engineers: agents that get triggered on their own, pick up work, ship it, verify it, and log what they learned, so the work compounds without you prompting every step.

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Repo: AI-Builder-Club/skills

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