ha-entity-platforms

ha-entity-platforms is a skill for Claude Code from L3DigitalNet/Claude-Code-Plugins. It costs 54 tokens per session (1,663 once invoked), scanned A, original, MIT.

A guide for adding Home Assistant entities such as sensors, switches, lights, buttons, and climate controls to an integration. It describes how to set them up and define their details.

In plain words
What is it for?
Use it when creating or updating entities in a Home Assistant integration, including sensors, switches, lights, covers, buttons, numbers, and selectors.
Why use it?
It removes the need to work out the repeated code and file patterns for each kind of Home Assistant entity.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the home-assistant-dev plugin — 27 skills, 2 commands, 3 agents, 1 hook shipped together

Good fit Use it when creating or updating entities in a Home Assistant integration, including sensors, switches, lights, covers, buttons, numbers, and selectors.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/l3digitalnet/claude-code-plugins/ha-entity-platforms
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add L3DigitalNet/Claude-Code-Plugins --skill ha-entity-platforms
Clone the repo
git clone --depth 1 https://github.com/L3DigitalNet/Claude-Code-Plugins

Made for: Claude Code.

Or install home-assistant-dev, the plugin that ships this one along with the rest of its 27 skills, 2 commands, 3 agents, 1 hook.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ha-entity-platforms

README.md
[![agentmods](https://agentmods.dev/badge/skills/l3digitalnet/claude-code-plugins/ha-entity-platforms/github.svg)](https://agentmods.dev/skills/l3digitalnet/claude-code-plugins/ha-entity-platforms)
Your own site
<a href="https://agentmods.dev/skills/l3digitalnet/claude-code-plugins/ha-entity-platforms"><img src="https://agentmods.dev/badge/skills/l3digitalnet/claude-code-plugins/ha-entity-platforms/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ha-entity-platforms

Your own site · 80×15
<a href="https://agentmods.dev/skills/l3digitalnet/claude-code-plugins/ha-entity-platforms"><img src="https://agentmods.dev/badge/skills/l3digitalnet/claude-code-plugins/ha-entity-platforms.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,663 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.01663
Opus 5.5 $0.00022 $0.00665
Sonnet 5.5 $0.00011 $0.00333
Haiku 4.5 $0.00005 $0.00166

Measured 1mo ago against content hash 23776c54914f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ha-entity-platforms scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/home-assistant-dev/skills/ha-entity-platforms/SKILL.md · 203 lines

How it starts

The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Home Assistant Entity Platforms

Platform Setup Pattern

Every platform implements async_setup_entry:

"""Sensor platform for {Name}."""
from __future__ import annotations

from homeassistant.core import HomeAssistant
from homeassistant.helpers.entity_platform import AddEntitiesCallback

# {Name}ConfigEntry is the `type {Name}ConfigEntry = ConfigEntry[{Name}Coordinator]` alias defined in __init__.py (see ha-integration-scaffold).
from . import {Name}ConfigEntry
from .coordinator import {Name}Coordinator


async def async_setup_entry(
    hass: HomeAssistant,
    entry: {Name}ConfigEntry,
    async_add_entities: AddEntitiesCallback,
) -> None:
    """Set up sensors from a config entry."""
    coordinator = entry.runtime_data

    entities = []
    for device_id in coordinator.get_device_ids():
        for description in SENSOR_DESCRIPTIONS:
            entities.append({Name}Sensor(coordinator, description, device_id))

    async_add_entities(entities)

Entity Description Pattern

Use EntityDescription dataclasses for declarative definitions:

from dataclasses import dataclass
from collections.abc import Callable
from typing import Any

from homeassistant.components.sensor import (
    SensorDeviceClass,
    SensorEntity,
    SensorEntityDescription,
    SensorStateClass,
)
from homeassistant.const import PERCENTAGE, UnitOfTemperature


@dataclass(frozen=True, kw_only=True)
class {Name}SensorDescription(SensorEntityDescription):
    """Describe a {Name} sensor."""
    value_fn: Callable[[dict[str, Any]], Any]


SENSOR_DESCRIPTIONS: tuple[{Name}SensorDescription, ...] = (
    {Name}SensorDescription(
        key="temperature",
        translation_key="temperature",
        device_class=SensorDeviceClass.TEMPERATURE,
        state_class=SensorStateClass.MEASUREMENT,
        native_unit_of_measurement=UnitOfTemperature.CELSIUS,
        value_fn=lambda data: data.get("temperature"),
    ),
    {Name}SensorDescription(
        key="humidity",
        translation_key="humidity",
        device_class=SensorDeviceClass.HUMIDITY,
        state_class=SensorStateClass.MEASUREMENT,
        native_unit_of_measurement=PERCENTAGE,
        value_fn=lambda data: data.get("humidity"),
    ),
)

Read the full file on GitHub · 203 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 203 lines · 54 tokens per session scan A 23776c54914f

Subscribe to this mod's changes

ha-entity-platforms is a skill published in the GitHub repository L3DigitalNet/Claude-Code-Plugins (8 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 1,663 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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