Imported from kody-w/RAR (
scout/bundles/native-12/skills/rar-kody-w-windows-vm-install-lab/SKILL.md). Install upstream withnpx skills add kody-w/RAR --skill rar-kody-w-windows-vm-install-lab. Copyright stays with the author.
Microsoft Scout runtime
This is the reversible Scout projection of @kody-w/windows_vm_install_lab_agent. The original RAPP
agent is preserved byte-for-byte in windows_vm_install_lab_agent.py and in the RCI capsule.
When Scout can execute local files, resolve this skill directory and run:
python3 scripts/run_agent.py --preflight
echo '{}' | python3 scripts/run_agent.pyPass the real JSON arguments instead of {}. The runner verifies the linked
agent SHA-256 before importing it. If preflight reports a host dependency that
Scout cannot satisfy, use the brainstem_chat MCP tool to run the canonical
agent in the user's Brainstem. Never paraphrase the factory or agent into a new
implementation. The generic direct-file commands in the generated Toaster
section are recovery guidance; Scout should prefer the verified runner.
Control the local Hyper-V release lab for the RAPP Windows installer.
Run this — do not improvise
This capability's deterministic implementation is a RAPP single-file agent, linked beside this file as windows_vm_install_lab_agent.py and embedded as the fenced Python below (sha256 cb3249f0118aa4ed…; a byte-exact copy is also vaulted in the capsule comment at the end of this file). On a host with sandbox execution, run the linked file directly — if it is missing, write the fence contents verbatim to windows_vm_install_lab_agent.py first:
python3 windows_vm_install_lab_agent.py '{"key": "value"}' # arguments as one JSON object
echo '{"key": "value"}' | python3 windows_vm_install_lab_agent.py # or on stdin
python3 windows_vm_install_lab_agent.py --tool # emit the JSON tool contractTreat stdout as a tool result. If it reports missing or unresolved inputs, stop and collect them. If it returns steps, execute those steps in order exactly as returned; if it returns instructions, follow them with the supplied inputs. Otherwise use the result verbatim. Do not invent behavior beyond that output. On a host without code execution, treat the Parameters schema and the code below as the exact specification and never paraphrase a step. Never edit inside the generated markers; a converter-equipped host can instead restore the original file checksum-verified with the installed rapp-agent-converter/scripts/toast.py convert SKILL.md --to agent.
"""Control the local Hyper-V release lab for the RAPP Windows installer."""
import base64
import ctypes
import hashlib
import io
import json
import os
import re
import subprocess
import uuid
import zipfile
from datetime import datetime, timezone
from pathlib import Path, PurePosixPath
try:
from agents.basic_agent import BasicAgent
except ModuleNotFoundError:
class BasicAgent:
def __init__(self, name, metadata):
self.name = name
self.metadata = metadata
__manifest__ = {
"schema": "rapp-agent/1.0",
"name": "@kody-w/windows_vm_install_lab_agent",
"version": "1.0.0",
"display_name": "Windows VM Install Lab",
"description": (
"Runs an allowlisted Hyper-V Windows 11 lab for repeatable RAPP "
"installer release testing with an embedded, hash-verified toolkit."
),
"author": "RAPP Community",
"tags": ["windows", "hyper-v", "installer", "testing", "automation"],
"category": "devtools",
"quality_tier": "community",
"requires_env": [],
"dependencies": ["@rapp/basic_agent"],
"external_prereqs": [
"Windows 11 Pro, Enterprise, or Education",
"Administrator access and Hyper-V capable hardware",
"At least 100 GB of free disk space",
],
"example_call": {"args": {"action": "status"}},
}
_VM_LAB_BUNDLE_SHA256 = (
"b729b69e3240ef0edf63104a06d91fe48ac8ecd803e10b9fcba142b8170b6ee6"
)
_VM_LAB_BUNDLE_B85 = (
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class WindowsVmLabAgent(BasicAgent):
ACTIONS = {
"setup",
"download_iso",
"build_base",
"test",
"full",
"cleanup",
"status",
}
SCENARIOS = {"fresh", "preinstalled", "rerun", "upgrade"}
RUN_ID_PATTERN = re.compile(r"^[A-Za-z0-9-]+$")
def __init__(self):
self.name = "WindowsVmInstallLab"
self.metadata = {
"name": self.name,
"description": (
"Operates the local Hyper-V Windows 11 release lab for end-to-end "
"RAPP Brainstem installer testing. Use full to provision or refresh "
"the lab and run all release scenarios asynchronously. Use status "
"with the returned run_id to monitor it. Actions are allowlisted and "
"cannot execute arbitrary PowerShell."
),
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": sorted(self.ACTIONS),
"description": "Lab operation to start or inspect.",
},
"run_id": {
"type": "string",
"description": "Run ID returned by a prior operation. Used by status.",
},
"scenarios": {
"type": "array",
"items": {"type": "string", "enum": sorted(self.SCENARIOS)},
"description": "Optional scenario subset for test or full.",
},
"older_than_days": {
"type": "integer",
"minimum": 1,
"maximum": 365,
"description": "Retention threshold for cleanup. Default 14.",
},
},
"required": ["action"],
},
}
super().__init__(name=self.name, metadata=self.metadata)
@property
def repository_root(self):
configured = os.environ.get("RAPP_VM_LAB_REPOSITORY_ROOT", "").strip()
if configured:
return Path(configured).expanduser().resolve()
for parent in Path(__file__).resolve().parents:
if (parent / ".git").exists():
return parent
return Path(__file__).resolve().parents[1]
@property
def lab_root(self):
configured = os.environ.get("RAPP_VM_LAB_ROOT", "").strip()
if configured:
return Path(configured).expanduser()
if Path("D:/").exists():
return Path("D:/RappVmLab")
local_data = os.environ.get("LOCALAPPDATA", "").strip()
return Path(local_data).expanduser() / "RappVmLab" if local_data else (
Path.home() / "RappVmLab"
)
@property
def runs_root(self):
return self.lab_root / "agent-runs"
def _ensure_pipeline(self):
tools_root = (
self.lab_root
/ "agent-tools"
/ _VM_LAB_BUNDLE_SHA256[:12]
)
pipeline = tools_root / "Invoke-RappVmLabPipeline.ps1"
if pipeline.is_file():
return pipeline
try:
archive_bytes = base64.b85decode(_VM_LAB_BUNDLE_B85)
except (ValueError, TypeError) as exc:
raise RuntimeError("The embedded VM lab toolkit is invalid.") from exc
actual_hash = hashlib.sha256(archive_bytes).hexdigest()
if actual_hash != _VM_LAB_BUNDLE_SHA256:
raise RuntimeError("The embedded VM lab toolkit failed verification.")
try:
with zipfile.ZipFile(io.BytesIO(archive_bytes)) as archive:
for member in archive.infolist():
relative = PurePosixPath(member.filename)
if relative.is_absolute() or ".." in relative.parts:
raise RuntimeError(
"The embedded VM lab toolkit contains an unsafe path."
)
destination = tools_root.joinpath(*relative.parts)
destination.parent.mkdir(parents=True, exist_ok=True)
temporary = destination.with_name(
f".{destination.name}.{uuid.uuid4().hex}.tmp"
)
try:
temporary.write_bytes(archive.read(member))
os.replace(temporary, destination)
finally:
temporary.unlink(missing_ok=True)
except (OSError, zipfile.BadZipFile) as exc:
raise RuntimeError(
f"Could not install the embedded VM lab toolkit: {exc}"
) from exc
if not pipeline.is_file():
raise RuntimeError("The embedded VM lab pipeline is missing.")
return pipeline
def perform(self, **kwargs):
if os.name != "nt":
return self._response("error", message="The Windows VM lab requires Windows.")
action = str(kwargs.get("action", "")).strip().lower()
if action not in self.ACTIONS:
return self._response("error", message=f"Unsupported action: {action!r}.")
if action == "status":
return self._status(kwargs.get("run_id"))
scenarios = kwargs.get("scenarios") or sorted(self.SCENARIOS)
if not isinstance(scenarios, list):
return self._response("error", message="scenarios must be an array.")
scenarios = [str(item).strip().lower() for item in scenarios]
invalid = sorted(set(scenarios) - self.SCENARIOS)
if invalid:
return self._response("error", message=f"Unsupported scenarios: {invalid}.")
if not scenarios:
return self._response("error", message="At least one scenario is required.")
try:
older_than_days = int(kwargs.get("older_than_days", 14))
except (TypeError, ValueError):
return self._response("error", message="older_than_days must be an integer.")
if not 1 <= older_than_days <= 365:
return self._response("error", message="older_than_days must be from 1 to 365.")
active = self._active_run()
if active:
return self._response(
"busy",
message="A VM lab operation is already running.",
run=active,
)
try:
pipeline = self._ensure_pipeline()
except RuntimeError as exc:
return self._response("error", message=str(exc))
run_id = f"{datetime.now(timezone.utc):%Y%m%d-%H%M%S}-{uuid.uuid4().hex[:8]}"
run_directory = self.runs_root / run_id
run_directory.mkdir(parents=True, exist_ok=False)
state_path = run_directory / "state.json"
pipeline_log = run_directory / "pipeline.log"
launcher_log = run_directory / "launcher.log"
initial_state = {
"RunId": run_id,
"Action": action,
"Status": "queued",
"ProcessId": None,
"StartedAtUtc": datetime.now(timezone.utc).isoformat(),
"UpdatedAtUtc": datetime.now(timezone.utc).isoformat(),
"Repository": str(self.repository_root),
"LabRoot": str(self.lab_root),
"Scenarios": scenarios,
"LogPath": str(pipeline_log),
"Result": None,
"Error": None,
}
state_path.write_text(json.dumps(initial_state, indent=2), encoding="utf-8")
command = [
"powershell.exe",
"-NoProfile",
"-ExecutionPolicy",
"Bypass",
"-File",
str(pipeline),
"-Action",
action,
"-LabRoot",
str(self.lab_root),
"-RepositoryRoot",
str(self.repository_root),
"-ScenarioCsv",
",".join(scenarios),
"-OlderThanDays",
str(older_than_days),
"-RunId",
run_id,
"-StatePath",
str(state_path),
"-LogPath",
str(pipeline_log),
]
creation_flags = (
subprocess.CREATE_NEW_PROCESS_GROUP
| subprocess.CREATE_NO_WINDOW
)
try:
with launcher_log.open("ab") as output:
process = subprocess.Popen(
command,
cwd=self.repository_root,
stdin=subprocess.DEVNULL,
stdout=output,
stderr=subprocess.STDOUT,
creationflags=creation_flags,
close_fds=True,
)
except OSError as exc:
initial_state["Status"] = "failed"
initial_state["Error"] = {"Message": str(exc)}
initial_state["UpdatedAtUtc"] = datetime.now(timezone.utc).isoformat()
state_path.write_text(json.dumps(initial_state, indent=2), encoding="utf-8")
return self._response("error", message=str(exc), run_id=run_id)
return self._response(
"started",
run_id=run_id,
process_id=process.pid,
action=action,
scenarios=scenarios,
note=(
"The first setup or full run can show one Windows UAC consent prompt. "
"Use status with this run_id for progress."
),
)
def _status(self, run_id):
if run_id:
run_id = str(run_id).strip()
if not self.RUN_ID_PATTERN.fullmatch(run_id):
return self._response("error", message="Invalid run_id.")
run_directory = self.runs_root / run_id
else:
if not self.runs_root.is_dir():
return self._response("not_configured", message="No VM lab runs exist yet.")
directories = sorted(
(item for item in self.runs_root.iterdir() if item.is_dir()),
key=lambda item: item.stat().st_mtime,
reverse=True,
)
if not directories:
return self._response("not_configured", message="No VM lab runs exist yet.")
run_directory = directories[0]
state_path = run_directory / "state.json"
if not state_path.is_file():
return self._response("error", message=f"Run state is missing: {run_directory.name}")
try:
state = json.loads(state_path.read_text(encoding="utf-8-sig"))
except (OSError, json.JSONDecodeError) as exc:
return self._response("error", message=f"Could not read run state: {exc}")
status = str(state.get("Status", "unknown"))
process_id = state.get("ProcessId")
if status in {"queued", "running", "waiting_for_uac"} and process_id:
state["ProcessAlive"] = self._process_alive(int(process_id))
log_path = Path(state.get("LogPath") or run_directory / "pipeline.log")
if log_path.is_file():
try:
state["LogTail"] = log_path.read_text(
encoding="utf-8-sig", errors="replace"
)[-4000:]
except OSError:
pass
return self._response("success", run=state)
def _active_run(self):
if not self.runs_root.is_dir():
return None
for state_path in sorted(
self.runs_root.glob("*/state.json"),
key=lambda item: item.stat().st_mtime,
reverse=True,
):
try:
state = json.loads(state_path.read_text(encoding="utf-8-sig"))
except (OSError, json.JSONDecodeError):
continue
if state.get("Status") not in {
"queued",
"running",
"waiting_for_uac",
"waiting_for_sign_in",
}:
continue
process_id = state.get("ProcessId")
if process_id is None:
if state.get("Status") == "waiting_for_sign_in":
return {
"run_id": state.get("RunId"),
"action": state.get("Action"),
"status": state.get("Status"),
}
updated = state.get("UpdatedAtUtc")
try:
updated_at = datetime.fromisoformat(str(updated).replace("Z", "+00:00"))
except (TypeError, ValueError):
updated_at = None
if updated_at and (datetime.now(timezone.utc) - updated_at).total_seconds() > 300:
continue
return {
"run_id": state.get("RunId"),
"action": state.get("Action"),
"status": state.get("Status"),
}
if self._process_alive(int(process_id)):
return {
"run_id": state.get("RunId"),
"action": state.get("Action"),
"status": state.get("Status"),
}
return None
@staticmethod
def _process_alive(process_id):
process_query_limited_information = 0x1000
handle = ctypes.windll.kernel32.OpenProcess(
process_query_limited_information, False, process_id
)
if not handle:
return False
ctypes.windll.kernel32.CloseHandle(handle)
return True
@staticmethod
def _response(status, **values):
return json.dumps({"status": status, **values}, default=str)
if __name__ == "__main__":
print(WindowsVmLabAgent().perform())