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Verdict QA

de ArtJackversión 0.93.1i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.ArtJack/verdict

Instalar

Resumen

Descripción del creador (original en inglés)

Read-only MCP server over Verdict QA state: verdicts, findings, flaky quarantine, history.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Otros

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

  • PyPIuv de Python instalado (para el comando uvx)

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

{
  "mcpServers": {
    "verdict": {
      "command": "uvx",
      "args": [
        "verdict-qa-mcp"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add verdict -- uvx verdict-qa-mcp

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "verdict": {
      "command": "uvx",
      "args": [
        "verdict-qa-mcp"
      ]
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "verdict": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "verdict-qa-mcp"
      ]
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub ArtJack, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Otrosi

  • Más estrellas que el 0% de los otros 32545 servidores de esta categoría
  • Publicado en el registro más recientemente que el 82% de los otros 32545 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32545 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Verdict QA?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.93.1) llegó al registro hace 7 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, Python MCP

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Spec Driven Development

de formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Se ejecuta en tu computadora★ 440MITActualizado hace 14 meses
Instalar

Remote Desktop Commander

de desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Se ejecuta en la nube★ 211Actualizado ayer
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Python MCP

de Files-com

Local-only Python MCP server for the Files.com API.

Se ejecuta en tu computadoraActualizado hoy
Instalar

README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

Verdict

CI · verdict on itself · eval: 8/8 seeded defects · pinned rules: 527/527 killed · PyPI: verdict-qa-mcp · OpenSSF Best Practices: passing · MIT license

Your test suite is green. Verdict found a defect that had lived 4,595 days.

Verdict is a QA agent that does not fix, does not flatter, and does not forget. It measures before it judges — the harness runs your gates, hashes every line a finding cites, re-runs the guarding test at the old commit and the new one — and it keeps a memory: every run is a delta against the last, findings age, regressions rank first, and the tester's own misses are published beside its hits. The contract it runs under is immutable and hashed into every verdict; what it learns lives beside the contract, dated and auditable, and never edits it. The number above is real: FilePerms in a 7k★ Python library could not revoke a permission bit since 2014-02-07, and every one of its 625 tests was green the day Verdict filed it — the run, and the misses, are in the ledger.

/plugin marketplace add ArtJack/verdict     # Claude Code

/plugin install verdict@verdict /verdict:run

```

npx skills add ArtJack/verdict # every other coding agent

Most AI "QA agents" are a paragraph of enthusiasm with a checklist. They audit your repo from scratch every time, re-report the same 20 findings until you stop reading, call flaky tests "failures", call stale tests "failures", and end with "LGTM! 🎉".

Verdict is a Claude Code plugin built the way QA is actually practiced:

  • It remembers. A state file carries the baseline. Every finding gets a stable ID and an age; every run reports NEW / STILL_OPEN / RESOLVED / REGRESSED — regressions ranked first, always.
  • A red test means something. Every failure is classified — REAL_DEFECT, STALE_EXPECTATION (which needs a citation proving the change was intended), BRITTLE_TEST, ENVIRONMENT, or FLAKY (confirmed by re-runs, quarantined with an expiry). The classification most likely to excuse a regression carries the highest evidence bar.
  • A verdict you can defend. Every run ends in exactly one of pass | pass with risks | blocked | fail — an open Blocker forces fail, blocked is a legitimate outcome, and a pass always names what was *not* tested.
  • It never fixes your code. There is no Edit tool, a hook confines its writes to the QA root, and a strict-mode Bash guard closes the shell's write channels — a tester that patches what it judges isn't independent. The guard is a heuristic, not a sandbox, and the README says so.
  • It is tested, and it tests itself. A scored eval suite with the misses published, a hash-chained run history a copied or edited state fails, a track record the harness computes rather than the tester — and an audit of its own releases: 78 findings filed against itself in its first 15 runs — 59 fixed with the fix verified, one an accepted risk on the record, two still open, and 16 closed without proof, which its own ledger counts as unknown, not as wins. Every fixed harness rule is pinned as a mutant the suite must kill.

What a run looks like: a real delta report — Verdict on its own code, run 14.

Who pays for the model? You do, with the Claude subscription you already have: the plugin runs inside your own session, nothing routes through anyone else, and everything below the model — the state, the gate, the harness, the eval scorer — is stdlib Python (the optional MCP server adds the mcp SDK) that runs for free. Works on Python, TypeScript, Go, or anything with a test runner; the eval fixtures cover Python and TypeScript.

Read next: Install · What installs, and when it runs · Quickstart · Why another QA agent · The tested tester · CI gate · Accepting a risk · FAQ

Install

/plugin marketplace add ArtJack/verdict

/plugin install verdict@verdict

Any other coding agent — Cursor, Codex, OpenCode and the rest of the agent skills ecosystem — gets the same doctrine as five skills, and the same harness as a pip package:

npx skills add ArtJack/verdict        # release risk · verify a fix · flaky triage · root cause · spec review

pip install verdict-qa-mcp # verdict-facts, verdict-finalize, verdict-gate, verdict-accept, verdict-answer, verdict-replay, verdict-dupes

Listed on skills.sh.

The skills restate the contract for an agent that cannot run the verdict agent; the hooks that enforce the read-only guarantee exist only in Claude Code, so there the guarantee is the agent's own discipline plus the harness's refusals. AGENTS.md and llms.txt at the repository root are for agents that read before they act.

Python 3.9 or newer, whatever your python3 resolves to — the hooks and the fact harness are stdlib-only and are invoked by that name, which on a stock Mac is /usr/bin/python3 (3.9). The optional MCP server is a pip install and needs 3.10+, which is what requires-python in pyproject.toml refers to. The floor is tested: a module that would fail to import on 3.9 fails CI instead (tests/test_interpreter_floor.py) — because the failure it prevents was silent. The Bash guard once raised on import there while the write guard beside it kept working, so a strict session looked armed with half its controls missing.

What installs, and when it runs

Installing a plugin means letting its code run in your sessions, so here is exactly what this one does — measured from hooks/hooks.json, not summarised from memory. Six hook registrations; each starts a python3 (tens of milliseconds) when its event fires:

EventFires onScriptSilent when
PreToolUseWrite/Edit/MultiEdit/NotebookEditwrite-scope guardalways, unless VERDICT_STRICT=1 or the caller is the verdict agent itself — and for one path in any session: a QA root's accepted.json / answers.json, which only verdict-accept / verdict-answer write
PreToolUseBashbash-scope guardalways, unless VERDICT_STRICT=1 or the caller is the verdict agent itself
PostToolUseWrite/Edit/MultiEditstate validatorunless the written file is a QA root's state.json or findings/ .json
Stop / SubagentStopend of turnrun-contract checkunless a QA run *in this session* left hand-written state, or a Verdict agent *of this session* measured the facts and is stopping without verdict-finalize (the run marker names the session; another session's marker, or another agent stopping beside a run in progress, says nothing) — each blocks at most once, never loops
SessionStartsession openfindings banner, or a one-time first-run hintunless the repository has QA state — or, for the hint, unless it is a fresh interactive start in a git repository with a test suite Verdict has never seen (once per repository, three repositories per person, never with VERDICT_STRICT, VERDICT_NO_HINT=1 or a headless claude -p)

Every hook fails open: malformed input, missing files, or an exception mean exit 0 and silence — a broken hook must never brick a session. VERDICT_STRICT=1 is what arms the scope guards, and you set it only for dedicated QA sessions (headless, CI, the nightly); in ordinary interactive work the guards are no-ops.

Prefer not to install globally? Everything works per-repository: copy agents/verdict.md into /.claude/agents/ and the hooks/hooks.json entries into /.claude/settings.json, with ${CLAUDE_PLUGIN_ROOT} replaced by a checkout path. That is exactly how the eval harness provisions its scratch projects — eval/run_eval.py is the reference implementation.

Quickstart

/verdict:run                          # first run: profile + isolation rules + baseline

/verdict:run the payment retry change # every later run: a delta against the stored state

Every later run is a delta against the stored state. A repeat run returns something like:

VERDICT: fail

Scope: 2c67f47..b4e2943 (4 commits, 16 files) · run 4 (delta) Isolation check: pass (no .env present; no live service touched)

Findings — REGRESSED first: REGRESSED PRICER-F-002 Critical/P0 round_cents uses banker's rounding again (pricer.py:17) resolved 08-19, reintroduced by b4e2943 — this forces the verdict NEW PRICER-F-007 Major/P1 quarantine graveyard: test_listable_at_floor_exactly skipped 114 days with no expiry — it is the test that would catch F-001 STILL_OPEN PRICER-F-001 Critical/P0 age 6d is_listable rejects a price exactly at the floor FLAKY test_bulk_discount_applies — fails 3/6 runs with no code change; quarantined until 2026-09-07, excluded from this verdict, listed until re-evaluated

Delta gates: tests 213 → 213 · duration +0.4% · coverage on changed files: no decrease Release blockers: PRICER-F-002 (regressed), PRICER-F-001 Not tested: concurrency under parallel checkout — no harness present Fix order: 1) F-002 2) F-001 (unskip its test first, watch it fail red) 3) F-007 expiry Artifact: .qa/reports/2026-08-24-pricer-review.md

Why another QA agent

Typical qa-expert.mdVerdict
Remembers the last runno — every run is a fresh auditstate file; NEW/STILL_OPEN/RESOLVED/REGRESSED with ages
Flaky tests"keep flakes under 1%" (prose)quarantine ledger with mandatory expiry; flakes excluded from the verdict, never from the report
Release decision"go/no-go" appears as a checklist wordfour-verdict contract; an open Blocker forces fail
Red test triage"investigate failures"five-class taxonomy; STALE_EXPECTATION requires an intent citation
Quality gates">90% coverage" absolutesdirection gates: coverage on changed files must not decrease; 0 tests collected ≠ 1 test failing
Test design"test edge cases"24-technique catalog with risk triggers — incl. property-based, metamorphic (for ML/LLM output), MC-DC, contract tests (docs/test-design.md)
Can edit your codenothing stops itno Edit tool + write-scope hook + strict-mode Bash guard
Securityignored, or oversoldopt-in report-only pass: dependency audit + diff secret scan; pentest explicitly out of scope
Risk prioritisation"focus on high-risk areas"the ranking is computed from the project's own finding history (severity-weighted, paths merged across citation depths), and the report must show the ranking, the cutoff, and everything below it — which lands in not-tested
Root cause"investigate the failure"a four-link chain with a citation per link, a mandatory class check (is this an instance or a pattern?), and causation proven by flipping the cause in a scratch copy — with its own scored fixture built around a decoy
Requirements reviewnever — code only/verdict:spec judges the spec before code exists (contradictions, unmeasurables, boundary ambiguities, history conflicts) — with its own scored eval fixture
"No bugs found!"frequentlynever — coverage, gaps, and residual risk instead

| AI-authored code | same

Solo se muestra el principio; lee el resto en el repo

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