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Closed Loop Verifier Pattern

ASecurity

Use when implementing closed-loop agent verification — deployed app behaving is the ONLY signal that closes the loop; runtime verifiers drive live app; mocks prove nothing. Triggers on "closed loop verifier", "deployed app verification", "runtime verification", "not mocks", "screenshot driven testing".

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  • Added September 19, 2026
ai-agentsbashrailstestingdebugginggitperformance

Works with

  • claude code
  • cli

Security analysis

A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned September 19, 2026

npx -y skills add majinmagros/magros.ai-skills --skill closed-loop-verifier-pattern --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: closed-loop-verifier-pattern
description: Use when implementing closed-loop agent verification — deployed app behaving is the ONLY signal that closes the loop; runtime verifiers drive live app; mocks prove nothing. Triggers on "closed loop verifier", "deployed app verification", "runtime verification", "not mocks", "screenshot driven testing".
metadata:
  origin: ECC
  source_docs:
    - https://github.com/testsprite/testsprite-cli
    - https://playwright.dev
    - https://pptr.dev
  video_source: "EIiXhCaZ4rw - I Mathematically CALCULATED the worth of Codex & Claude Code PLANS (AI Code King)"
  related_skills:
    - testsprite-cli-integration
    - loop-design-check
    - verification-loop
    - gan-style-harness
    - agent-guardrails
    - outcome-rubric-verification
---

# Skill: closed-loop-verifier-pattern — O Único Sinal que Fecha o Loop

> **"A green run on the agent's own machine proves nothing. The one signal that actually closes the loop: the deployed thing behaving for a real user."** — AI Code King

Runtime verifiers (TestSprite, Playwright, Puppeteer) drive o **app deployed como usuário real**, capturam screenshot de falha, permitem patch + rerun. Implementação em `references/implementation.md`.

## Quando usar

- Você tem **agent loops** que precisam de verificação real (não mocks)
- Quer provar que **checkout flow, forms, navigation, auth** funcionam de verdade
- Precisa de **screenshot-driven debugging**: ver exatamente o que usuário vê
- Quer **auto-patch + rerun** quando verifier detecta falha
- Está construindo **gan-harness** com verificação de runtime
- Precisa eliminar "green on mocks, broken in prod"

## Quando NÃO usar

- Testes unitários/integração tradicionais → use pytest/Jest/Vitest
- Visual regression only → use Playwright/Percy/Chromatic
- Load/performance testing → use k6/Locust
- Mock-based testing é suficiente → use testing library padrão
- Verificação design-time → use `verification-loop`, `loop-design-check`

---

## Conceito Central

```
TRADICIONAL (quebrado):  Generate → Test (mocks) → Pass (green) → Deploy 💥
CLOSED-LOOP (correto):   Generate → Deploy (real) → Verify (real) → PASS (real)
                                                          ↓ FAIL
                                              screenshot + patch → rerun
```

`ClosedLoopAgent.run()`: generate (informado por falhas anteriores) → deploy real → verifier drive o app → PASS? ship : captura falha para a próxima iteração. Ver `references/implementation.md` (`RuntimeVerifier` ABC, `ClosedLoopAgent`, `TestSpriteVerifier`, `PlaywrightVerifier`, specs prontas de checkout/auth/form, config GAN).

```bash
# Como eval-mode no gan-harness:
/gan-build "build checkout flow" --eval-mode testsprite \
  --eval-config testsprite.config.json --max-iterations 5 --pass-threshold 1.0
```

---

## Anti-Patterns

Files in this skill

  • SKILL.md2.9 KB
  • references/implementation.md8.7 KB

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