MCP-4 of milestone 461 "MCP server: Steward as an LLM-inspectable, LLM-operable hub". Twelve read-only viewer tools: - get_overview: what is wrong now, ranked critical-then-oldest. Failing monitors with their error and when the run of failures began, firing, pending and still-breaching acknowledged alerts, TLS certificates expiring within 14 days, agents that stopped reporting, hosts over the configured CPU/memory/disk thresholds (Settings > Thresholds), failed Ansible runs in the last 24h, and findings from enabled plugins through a new optional `mcp_overview(db)` plugin hook. Each finding names the call that shows its evidence. - list_hosts, get_host, get_host_metrics - list_monitors, get_monitor (HTTP header values and URL passwords are redacted) - list_alerts, get_alert_history, list_alert_rules, list_maintenance_windows - query_metrics: the whole metric store, narrowed one argument at a time (sources > resources > latest values > a series summary) - list_audit_events Shared shaping in steward/mcp/tools/_shape.py: UTC ISO times with age_s, bounded lists that say when and how they were cut, series as min/avg/max/p95/last plus a ≤60-point series, lookup by id or case-insensitive name with a did-you-mean, and a range argument that refuses an unknown key instead of reading it as 24h. New core reads in steward/core/metric_series.py (sources and resources via loose index scans, latest values via DISTINCT ON, series across the raw/hourly-rollup seam). monitors/service.py gains monitor_states, down_since and recent_failures; agent_overview_by_host now carries the fullest disk and the last sample time. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
475 lines
15 KiB
Markdown
475 lines
15 KiB
Markdown
# Writing a Plugin
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This guide walks through building a complete plugin from scratch. The Traefik plugin (`plugins/traefik/`) is the reference implementation — read it alongside this guide.
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---
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## Step 1: Create the Directory
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```
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plugins/
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└── myplugin/
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└── __init__.py ← start here
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```
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The directory name is the plugin's identity. It must match the `name` field in `plugin.yaml` and is used as the URL prefix (`/plugins/myplugin/`) and the Python import name.
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---
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## Step 2: Write plugin.yaml
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```yaml
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name: myplugin
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version: "1.0.0"
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description: "A short description of what this plugin monitors"
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author: "Your Name or GitHub username"
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license: "MIT" # any SPDX identifier, e.g. MIT, Apache-2.0, GPL-3.0
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# Optional: prevents loading on older app versions
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min_app_version: "0.1.0"
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# Optional: shown in the catalog UI
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repository_url: "https://github.com/yourname/yourrepo"
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homepage: "https://github.com/yourname/yourrepo/tree/main/myplugin"
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tags:
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- monitoring
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- http
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# Default config values — users override these via the Settings UI
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# or by writing to the app_settings DB table under "plugin.myplugin"
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config:
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target_url: "http://localhost:9090/metrics"
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scrape_interval_seconds: 60
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```
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---
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## Step 3: Define Models (if needed)
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If your plugin stores data, define SQLAlchemy models using the shared `Base` from `steward.models.base`.
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```python
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# plugins/myplugin/models.py
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from __future__ import annotations
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import uuid
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from datetime import datetime
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from sqlalchemy import String, Float, DateTime
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from sqlalchemy.orm import Mapped, mapped_column
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from steward.models.base import Base
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class MyPluginMetric(Base):
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__tablename__ = "myplugin_metrics"
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id: Mapped[str] = mapped_column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
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resource_name: Mapped[str] = mapped_column(String, nullable=False, index=True)
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scraped_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False)
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my_value: Mapped[float] = mapped_column(Float, nullable=False)
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```
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---
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## Step 4: Write Migrations
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Create `plugins/myplugin/migrations/` with the standard Alembic layout. Copy `env.py` and `script.py.mako` from `plugins/traefik/migrations/` as a starting point — the `env.py` is boilerplate and rarely needs changes.
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Generate the initial migration:
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```bash
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# From the project root
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alembic --config alembic.ini revision \
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--autogenerate \
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--head=steward@head \
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--branch-label=myplugin \
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-m "myplugin initial"
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```
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Edit the generated file to set `depends_on`:
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```python
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# In the generated revision file:
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depends_on = ("0004_core_head_id",) # the core migration head ID
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down_revision = None
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branch_labels = ("myplugin",)
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# Prefix the revision ID with the plugin name:
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revision = "myplugin_001_initial"
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```
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---
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## Step 5: Write Scheduled Task Logic
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Keep task logic in a separate file so `__init__.py` stays clean.
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```python
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# plugins/myplugin/scheduler.py
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from __future__ import annotations
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import logging
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from steward.core.scheduler import ScheduledTask
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from steward.core.alerts import record_metric
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logger = logging.getLogger(__name__)
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def make_task(app) -> ScheduledTask:
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interval = int(app.config["PLUGINS"]["myplugin"]["scrape_interval_seconds"])
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async def scrape():
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await _do_scrape(app)
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return ScheduledTask(
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name="myplugin_scrape",
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coro_factory=scrape,
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interval_seconds=interval,
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run_on_startup=True,
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)
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async def _do_scrape(app) -> None:
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from .models import MyPluginMetric
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from datetime import datetime, timezone
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url = app.config["PLUGINS"]["myplugin"]["target_url"]
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try:
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value = await _fetch_value(url)
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except Exception:
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logger.exception("myplugin scrape failed (url=%s)", url)
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return
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now = datetime.now(timezone.utc)
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async with app.db_sessionmaker() as session:
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async with session.begin():
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# Write to plugin's own history table
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session.add(MyPluginMetric(
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resource_name="my-resource",
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scraped_at=now,
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my_value=value,
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))
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# Emit to plugin_metrics so alert rules can fire
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await record_metric(
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session=session,
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source_module="myplugin",
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resource_name="my-resource",
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metric_name="my_value",
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value=value,
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)
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async def _fetch_value(url: str) -> float:
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import httpx
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async with httpx.AsyncClient() as client:
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resp = await client.get(url)
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resp.raise_for_status()
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return float(resp.text.strip())
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```
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---
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## Step 6: Write Routes (if needed)
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```python
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# plugins/myplugin/routes.py
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from quart import Blueprint, current_app, render_template
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from steward.auth.middleware import require_role
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from steward.models.users import UserRole
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from .models import MyPluginMetric
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myplugin_bp = Blueprint("myplugin", __name__, template_folder="templates")
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@myplugin_bp.get("/")
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@require_role(UserRole.viewer)
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async def index():
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async with current_app.db_sessionmaker() as db:
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from sqlalchemy import select
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result = await db.execute(
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select(MyPluginMetric).order_by(MyPluginMetric.scraped_at.desc()).limit(50)
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)
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rows = result.scalars().all()
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return await render_template("myplugin/index.html", rows=rows)
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@myplugin_bp.get("/widget")
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@require_role(UserRole.viewer)
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async def widget():
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"""HTMX fragment for the dashboard widget."""
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async with current_app.db_sessionmaker() as db:
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from sqlalchemy import select
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result = await db.execute(
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select(MyPluginMetric).order_by(MyPluginMetric.scraped_at.desc()).limit(1)
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)
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latest = result.scalar_one_or_none()
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return await render_template("myplugin/widget.html", latest=latest)
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```
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---
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## Step 7: Write Templates
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Templates live in `plugins/myplugin/templates/myplugin/` (the extra nesting avoids naming collisions with core templates).
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```html
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{# plugins/myplugin/templates/myplugin/index.html #}
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{% extends "base.html" %}
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{% block title %}My Plugin — Steward{% endblock %}
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{% block content %}
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<div class="page-title">My Plugin</div>
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{% for row in rows %}
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<p>{{ row.resource_name }} — {{ row.my_value }}</p>
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{% endfor %}
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{% endblock %}
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```
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```html
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{# plugins/myplugin/templates/myplugin/widget.html — HTMX fragment, no extends #}
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{% if latest %}
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<div class="ping-row">
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<span>{{ latest.resource_name }}</span>
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<span>{{ latest.my_value }}</span>
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</div>
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{% else %}
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<p class="empty">No data yet.</p>
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{% endif %}
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```
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---
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## Step 8: Wire Up __init__.py
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```python
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# plugins/myplugin/__init__.py
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from __future__ import annotations
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_app = None
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def setup(app) -> None:
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global _app
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_app = app
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from .models import MyPluginMetric # noqa: registers model with Base.metadata
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def get_scheduled_tasks() -> list:
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from .scheduler import make_task
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return [make_task(_app)]
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def get_blueprint():
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from .routes import myplugin_bp
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return myplugin_bp
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```
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---
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## Step 9: Enable the Plugin
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Plugin config is stored in the `app_settings` DB table. The easiest way to enable a plugin is via the Settings UI, or by inserting directly:
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```sql
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INSERT INTO app_settings (key, value_json, updated_at)
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VALUES ('plugin.myplugin', '{"enabled": true, "target_url": "http://localhost:9090/metrics"}', now());
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```
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On next startup, the plugin will be loaded, its migrations applied, and its blueprint and tasks registered.
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---
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## Using record_metric()
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`record_metric()` is how plugins feed data into the alert pipeline. Any metric you write here can be the target of an alert rule created in the UI.
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```python
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from steward.core.alerts import record_metric
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# Must be inside an active transaction
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async with session.begin():
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await record_metric(
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session=session,
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source_module="myplugin", # matches alert rule source_module
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resource_name="my-server", # matches alert rule resource_name
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metric_name="response_time_ms", # matches alert rule metric_name
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value=42.3,
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)
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```
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`record_metric()` writes to `plugin_metrics` and evaluates all matching alert rules inline. Notifications are deferred outside the transaction. It propagates `SQLAlchemyError` on DB failure — don't swallow it.
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---
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## Auth in Routes
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Use the `@require_role` decorator from `steward.auth.middleware`:
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```python
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from steward.auth.middleware import require_role
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from steward.models.users import UserRole
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@myplugin_bp.get("/admin-only")
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@require_role(UserRole.admin)
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async def admin_page():
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...
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@myplugin_bp.get("/read-only")
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@require_role(UserRole.viewer) # viewer, operator, and admin can all access
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async def read_page():
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...
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```
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Role hierarchy: `admin > operator > viewer`. Requiring `viewer` grants access to all three roles.
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---
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## Agent Tools (MCP)
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Steward serves an MCP endpoint at `/mcp` that AI clients reach with a personal API token created on the AI access page. A plugin adds tools to it by exporting an optional `register_mcp_tools(register)` from `__init__.py`:
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```python
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# plugins/myplugin/__init__.py
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def register_mcp_tools(register) -> None:
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from .mcp_tools import list_targets, rescan_target
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from steward.models.users import UserRole
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register(list_targets, role=UserRole.viewer, read_only=True)
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register(rescan_target, role=UserRole.operator, read_only=False)
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```
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```python
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# plugins/myplugin/mcp_tools.py
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from steward.mcp._context import current_caller, mcp_app
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async def list_targets(limit: int = 50) -> dict:
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"""What this tool is for, when to use it over its siblings, what each
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argument's empty value means, and what comes back. This docstring is the
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tool's description: it is all the agent knows about it."""
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app = mcp_app() # Quart's current_app does not exist here
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async with app.db_sessionmaker() as db:
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...
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return {"targets": [...], "total": n, "truncated": n > limit}
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```
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- `role` and `read_only` are required. A tool is listed and callable only for callers whose role reaches `role`, and only while the plugin is enabled.
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- Tools run outside Quart's request pipeline: use `mcp_app()` and `current_caller()` from `steward.mcp._context`, never `current_app` or `session`.
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- Refuse by raising `ValueError("what was wrong, and what to do instead")`. The agent reads that text. Any other exception reaches it only as a generic failure.
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- Tool names are global across core and every plugin; a name already taken fails registration and the plugin contributes no tools (logged).
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- Hot-reloading the plugin replaces its tools.
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- Follow the response conventions the core tools use (`steward/mcp/tools/_shape.py`): times via `iso()` plus `age_s()`, lists through `bounded()` so a cut is never silent, series through `summarize()`, and lookups by name or id through `pick()`.
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### Contributing to get_overview
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`get_overview` is the agent's first call: what is wrong right now, ranked. A plugin adds its own problems to it by exporting an optional `mcp_overview(db)` that returns findings built with `steward.mcp.tools.overview.finding`:
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```python
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# plugins/myplugin/__init__.py
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async def mcp_overview(db) -> list[dict]:
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from steward.mcp.tools.overview import finding
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return [
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finding("warning", "target_unreachable", t.name, f"{t.name} has not answered for {t.misses} scans",
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since=t.last_ok_at, ids={"target_id": t.id}, next=f'get_target(target="{t.id}")')
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for t in await _unreachable_targets(db)
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]
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```
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- `severity` is `"critical"` (something is down or about to be) or `"warning"` (degraded, or heading that way). Report problems only; a healthy plugin returns `[]`.
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- It is called only while the plugin is enabled, with its own session. If it raises, the overview still returns, and names the plugin under `unavailable`.
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---
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## Publishing to the Catalog
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The official plugin catalog is hosted at `https://git.fabledsword.com/bvandeusen/Steward-plugins`. Anyone can submit a plugin by opening a pull request — first-party and third-party plugins are treated identically by the catalog system.
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### Repo layout
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```
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steward-plugins/
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├── index.yaml ← catalog index — the only file Steward fetches
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├── myplugin/
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│ ├── plugin.yaml
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│ ├── __init__.py
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│ └── ...
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└── .github/
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└── workflows/
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└── publish.yml ← packages each plugin dir into a zip on release
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```
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### index.yaml entry
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Each plugin needs a corresponding entry in `index.yaml`. See `docs/plugins/index.yaml.example` for the full schema. The minimum required fields are:
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```yaml
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- name: myplugin
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version: "1.0.0"
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description: "What this plugin does"
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author: "Your Name"
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license: "MIT"
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min_app_version: "0.1.0"
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repository_url: "https://github.com/yourname/yourrepo"
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homepage: "https://github.com/yourname/yourrepo/tree/main/myplugin"
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download_url: "https://github.com/yourname/yourrepo/releases/download/myplugin-v1.0.0/myplugin.zip"
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checksum_sha256: "" # fill in after zipping — see below
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tags:
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- monitoring
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```
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### Creating a release zip
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The zip must contain the plugin files at the top level OR inside a single directory named after the plugin. Both layouts work:
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```
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# Layout A — flat (preferred)
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myplugin.zip
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├── plugin.yaml
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├── __init__.py
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└── ...
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# Layout B — single top-level directory (also accepted, GitHub archive default)
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myplugin.zip
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└── myplugin/
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├── plugin.yaml
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└── ...
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```
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Generate the zip and its checksum:
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```bash
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cd steward-plugins
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zip -r myplugin.zip myplugin/
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sha256sum myplugin.zip # paste this into index.yaml checksum_sha256
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```
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Upload `myplugin.zip` as a GitHub release asset, then update `index.yaml` with the release download URL and checksum.
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### How install works
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When a user clicks **Install** in Settings → Plugins:
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1. The app downloads the zip from `download_url`
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2. Verifies the SHA-256 checksum (if provided)
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3. Extracts the plugin into its `PLUGIN_DIR`
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4. Runs any pending Alembic migrations for the plugin
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5. Attempts a **hot-reload** — registers the blueprint and scheduled tasks without restarting
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6. If the plugin was previously loaded (blueprint already mounted), a **restart** is required to pick up the new code
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Hot-reload works reliably for brand-new plugin installs. Updates to already-active plugins require a restart, which can be triggered from the same settings page.
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---
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## Checklist
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- [ ] `plugins/myplugin/` directory created
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- [ ] `plugin.yaml` with correct `name` (matches directory), `author`, `license`, `tags`
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- [ ] `__init__.py` exports `setup()` and `get_scheduled_tasks()`
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- [ ] Models import inside `setup()` to register with metadata
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- [ ] Migrations use `depends_on` pointing to core head, not `down_revision`
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- [ ] Revision IDs prefixed with plugin name
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- [ ] `record_metric()` called inside `session.begin()`
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- [ ] Routes use `@require_role` decorator
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- [ ] MCP tools (if any) registered via `register_mcp_tools(register)` with a role and `read_only`
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- [ ] Templates namespaced under `templates/myplugin/`
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- [ ] Plugin enabled in app settings
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- [ ] `index.yaml` entry added with `download_url` and `checksum_sha256`
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