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AdversaryGate

de Sanflow10versión 3.0.17i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.Sanflow10/adversary-gate

Instalar

Resumen

Descripción del creador (original en inglés)

Fail-closed merge gate an agent calls before saying done: MERGE, BLOCK or INCONCLUSIVE.

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

  • Revisiones básicas: 1 de 1 superadas
  • Se ejecuta en tu computadora con los permisos de tu usuario (archivos, red, apps).
  • Debes completar tú: ADVERSARY_GATE_BASE_REF, ADVERSARY_GATE_REQUIRE_PINNED_BASE, ADVERSARY_GATE_PYTHON, ADVERSARY_GATE_POLICY

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": {
    "adversary-gate": {
      "command": "uvx",
      "args": [
        "adversary-gate-mcp"
      ],
      "env": {
        "ADVERSARY_GATE_BASE_REF": "your-value",
        "ADVERSARY_GATE_REQUIRE_PINNED_BASE": "your-value",
        "ADVERSARY_GATE_PYTHON": "your-value",
        "ADVERSARY_GATE_POLICY": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add adversary-gate --env ADVERSARY_GATE_BASE_REF=your-value --env ADVERSARY_GATE_REQUIRE_PINNED_BASE=your-value --env ADVERSARY_GATE_PYTHON=your-value --env ADVERSARY_GATE_POLICY=your-value -- uvx adversary-gate-mcp

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "adversary-gate": {
      "command": "uvx",
      "args": [
        "adversary-gate-mcp"
      ],
      "env": {
        "ADVERSARY_GATE_BASE_REF": "your-value",
        "ADVERSARY_GATE_REQUIRE_PINNED_BASE": "your-value",
        "ADVERSARY_GATE_PYTHON": "your-value",
        "ADVERSARY_GATE_POLICY": "your-value"
      }
    }
  }
}

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": {
    "adversary-gate": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "adversary-gate-mcp"
      ],
      "env": {
        "ADVERSARY_GATE_BASE_REF": "your-value",
        "ADVERSARY_GATE_REQUIRE_PINNED_BASE": "your-value",
        "ADVERSARY_GATE_PYTHON": "your-value",
        "ADVERSARY_GATE_POLICY": "your-value"
      }
    }
  }
}

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.

Valores que debes completar

  • ADVERSARY_GATE_BASE_REF env
    Baseline git ref (e.g. origin/main). Unset, the agent may pick it, and whoever picks the baseline picks the oracle
  • ADVERSARY_GATE_REQUIRE_PINNED_BASE env
    Set to 1 to refuse any run without ADVERSARY_GATE_BASE_REF, so the agent can never choose the baseline (the oracle)
  • ADVERSARY_GATE_PYTHON env
    Interpreter that runs the tests; must be one the agent cannot write to
  • ADVERSARY_GATE_POLICY env
    Extra gate flags set by the operator; evidence flags are refused

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 Sanflow10, 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 32683 servidores de esta categoría
  • Publicado en el registro más recientemente que el 76% de los otros 32683 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32683 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 AdversaryGate?

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 (3.0.17) llegó al registro hace 11 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, MCP Server Autocad Lisp Helper

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

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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 anteayer
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.

AdversaryGate

High AI usage ≠ high confidence. The cost of an agentic coding pipeline is

not the model's intelligence — it is the pipeline's self-deception.

A fail-closed verification gate for patches written by AI coding agents. It runs your tests on the baseline and on the patch, mutation-tests only the lines the patch wrote, and answers MERGE, BLOCK or INCONCLUSIVE — where uncertainty is a first-class result instead of a silent approval. CLI, GitHub Action and MCP server.

Python only, for now. It measures Python/pytest repositories; on other stacks it runs your suite via --test-command but answers INCONCLUSIVE, never MERGE — see Language support.

pip install adversary-gate

🎬 Watch it decide (60 seconds)

B and C are the same patch. Same code, same tests, same execution. The only difference is that C brought evidence (--diff + --coverage-json); B brought none.

PatchCoverage evidenceDecisionExit
Abreaks the testdeclared untrustedBLOCK1
Bcleannone — never measuredINCONCLUSIVE2
Ccleanmeasured, both artefacts SHA-256'dMERGE0

That middle row is the whole product. An unproduced measurement is not a measurement, so it cannot clear a floor — and a number nobody can re-derive is an opinion with a false precision label.

python3 demo/demo.py          # runs the three scenarios; exits non-zero if one regresses

python3 demo/render_gif.py # rebuilds demo/demo.gif from the captured frames

demo/demo.py is an acceptance test, not a screenshot: it builds the fixtures, runs the real CLI as a subprocess, reads the real exit codes, and fails if any of the three decisions changes. Its evidence artefacts are checked in under demo/out/.

`INCONCLUSIVE` is not an error. It is the gate saying *"I did not measure that"*, and it is exit 2 so CI treats it as "do not merge yet", not as "pass". See How diff_coverage gets its value for the one-step path from INCONCLUSIVE to MERGE.


🚀 Quick Start (CLI & GitHub Action)

First run, in one minute

From the root of a git repository whose agent's change sits on top of main (new files tracked: git add -N them), with pip install adversary-gate coverage:

BASE=main                                         # the commit before the agent's change

W=$(mktemp -d) git worktree add -q "$W/before" "$BASE" # the baseline, exactly as committed git diff --no-ext-diff "$BASE" > "$W/changes.diff" # baseline -> your working tree coverage run -m pytest -q && coverage json -q -o "$W/coverage.json" adversary-gate --baseline "$W/before" --patch . \ --claim tests/test_shop.py::test_discount_never_negative \ --diff "$W/changes.diff" --coverage-json "$W/coverage.json" > "$W/answer.json" echo "exit $?" # 0 MERGE, 1 BLOCK, 2 INCONCLUSIVE python -c "import json,sys; a=json.load(open(sys.argv[1])); print(a['decision'], '-', a['reason'])" "$W/answer.json" git worktree remove --force "$W/before"

Replace the --claim with the test that proves your fix (path::test). On a correct one-line fix, expect this first answer:

exit 2

inconclusive - every claim held and the fix is proven, but suite strength's lower bound is 0.38, below the 0.75 floor (1/1 mutants killed): the change is too small to measure at this floor, which takes at least 5 killed mutants; see next_steps

That is not a failure: the fix *is* proven, and the gate says plainly that it could not measure how strong the tests are on a change this small. See Small changes.

Command-Line Usage
adversary-gate \

--baseline /path/to/before \ --patch /path/to/after \ --test-path tests/test_auth.py \ --test-id test_token_expiry \ --diff changes.diff \ --coverage-json coverage.json \ --model "${AGENT_MODEL_NAME}" \ --evidence-log evidence.jsonl \ --report

Produce the two artefacts in your own pipeline, for example:

git diff --no-ext-diff baseline...patch > changes.diff

coverage json -o coverage.json # after: coverage run -m pytest

Which tests? Name several, or let coverage say

One run verifies any number of claims, and the decision is over all of them (one REFUTED blocks; one UNVERIFIED makes it INCONCLUSIVE):

adversary-gate ... --test-path tests/test_auth.py --test-id test_expiry --test-id test_refresh

adversary-gate ... --claim tests/test_auth.py::test_expiry --claim tests/test_api.py::TestLogin::test_ok

Or name none, and let the gate verify the tests that executed a changed source line — read from coverage.py's per-test contexts, not guessed:

printf '[run]\ndynamic_context = test_function\n' > contexts.coveragerc

coverage run --rcfile=contexts.coveragerc -m pytest coverage json --show-contexts -o coverage.json adversary-gate --baseline before --patch after \ --diff changes.diff --coverage-json coverage.json --discover-claims

A test file the patch rewrote is still picked, and judged with the baseline's copy of it (the baseline oracle, above); it is named under discovery (rewritten_test_files_judged_by_baseline), next to anything that could not be resolved to a node id, and the cap (--max-claims, default 10) with how many it cut. From 3.0.9 a cut test is not left unjudged: with the full suite off (--full-suite-path ""), a patch whose kept claims would merge is INCONCLUSIVE instead, and the reason says to raise the cap or run the suite. A report recorded without contexts is a usage error (exit 3), not "no tests".

Your project's interpreter, its limits, its environment
adversary-gate ... --python .venv/bin/python \

--timeout 120 --cpu-seconds 60 --memory 2G \ --pass-env PATH --env PYTEST_DISABLE_PLUGIN_AUTOLOAD=1

FlagDefault
--pythonthe gate's ownthe interpreter pytest runs on — the one your dependencies are in
--timeout30wall-clock seconds per claim or mutant run; none removes it
--cpu-seconds10CPU seconds per claim or mutant run; none removes it
--full-suite-timeout900wall-clock seconds for the collateral full-suite run
--full-suite-cpu-secondsnoneCPU seconds for the collateral full-suite run
--full-suite-memory4G; none on Androidaddress space for the collateral full-suite run
--memory512M; none on Androidaddress space per run (K/M/G); none — the JVM and Node cannot start under one
--pass-env NAME—copy a variable into the runs (they start from a minimal environment)
--env NAME=VALUE—set one
--serial-sidesoffrun the baseline and patch sides of a check one after the other instead of together, and the full suite after the claims and mutants instead of alongside the claims; forces --mutation-workers 1 (small machines; tests that share a fixed /tmp path or a port). The mutants never run beside the suite either way (AG-043)
--mutation-workers N1mutants at once, each on its own copy of the tree. Only for claims that share nothing outside the repository: two runs that meet on the same /tmp path, port or test database make one of them fail, and a failing run counts as a killed mutant (AG-043). Not with --census-min-mutants

The same choices apply to every run — claims, mutants and the collateral suite — except time and memory: the whole suite gets its own limits, because ones sized for a single test killed every suite of real size on both sides (out of time, or pytest dying with MemoryError under 512M of address space): never a MERGE (two failing sides are unverifiable), but the regression the suite would have caught came back INCONCLUSIVE instead of BLOCK (AG-033). The output records them under execution, with the names of the variables and never their values. A run the memory limit killed (MemoryError, Fatal process out of memory, Could not reserve enough space…) is reported as the harness dying, not as a failing test: it says nothing about the patch.

Not a pytest suite, or running a patch you have not seen?
# 1. run your own command instead of pytest (any language, any runner)

adversary-gate --baseline before --patch after \ --test-path run_tests.sh --test-command "./run_tests.sh"

2. wrap every run in bubblewrap: no network, private PID//tmp,

read-only system, only the repo writable

adversary-gate ... --sandbox bwrap

3. both together -- the usual shape for a patch from someone else

adversary-gate ... --test-command "make check" --sandbox bwrap \ --require-network-isolation

--test-command needs no --test-id (there are no node IDs to name), and it feeds the collateral full-suite run too unless you pass --full-suite-command. --sandbox bwrap needs bubblewrap installed and refuses to start without it — see Execution boundary for exactly what it does and does not contain.

Exit Codes for CI Integration:

  • 0 — `MERGE`: Every claim executed cleanly and cleared coverage & suite strength floors.
  • 1 — `BLOCK`: Regressions or collateral suite failures detected.
  • 2 — `INCONCLUSIVE`: Infrastructure error, missing test, missing coverage evidence, or weak suite (blocks merge).
  • 3 — `USAGE_ERROR`: Bad arguments, malformed JSON, or a coverage claim that was not declared as untrusted.

GitHub Action Integration (action.yml)

One ref in. base-sha derives the baseline, the diff and the coverage report itself, so the first thing you install is not a INCONCLUSIVE:

name: Verification Gate

on: [pull_request]

jobs: verify-agent-patch: runs-on: ubuntu-latest steps:

base-sha is a commit in history: this is not optional.

  • uses: actions/checkout@v4 with: fetch-depth: 0

Your Python, your dependencies -- the tests run here.

  • uses: actions/setup-python@v5 with: python-version: '3.11'
  • run: pip install -r requirements.txt pytest coverage
  • name: Run AdversaryGate uses: Sanflow10/adversary-gate@v3 with: base-sha: ${{ github.event.pull_request.base.sha }} evidence-log: 'evidence.jsonl'

No test is named: the Action records coverage per test and verifies the tests that executed the lines the pull request changed. Name them yourself with claims (one path::test per line) or test-path + test-id (one id per line); either one turns discovery off unless discover-claims: 'true'.

Any non-zero exit fails the step, and that is the safe default. BLOCK (1), INCONCLUSIVE (2) and a usage or harness error (3/4) all turn the check red. Do not add continue-on-error and stop there: that lets a BLOCK through along with everything else. If some pull requests are INCONCLUSIVE by nature (a change to C++ or SQL, which the gate runs but cannot measure), keep the step from failing and branch on the exit-code output instead (2.13.0 and later):

      - name: Run AdversaryGate

id: gate uses: Sanflow10/adversary-gate@v3 continue-on-error: true with: base-sha: ${{ github.event.pull_request.base.sh

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

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