ha-diagnostics

ha-diagnostics is a skill for Claude Code from L3DigitalNet/Claude-Code-Plugins. It costs 41 tokens per session (1,834 once invoked), scanned A, original, MIT.

A guide to adding diagnostics to a Home Assistant integration. Diagnostics are structured troubleshooting information that can help developers investigate problems while hiding passwords, tokens, personal details, and location data.

In plain words
What is it for?
Use it when implementing diagnostics.py or preparing an integration for the Gold tier of Home Assistant's Integration Quality Scale. It covers config-entry diagnostics and lists data that should be removed.
Why use it?
Support data may reveal credentials or identifying information if it is returned without filtering. This guide shows how to provide useful debug output with sensitive fields redacted.

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 implementing diagnostics.py or preparing an integration for the Gold tier of Home Assistant's Integration Quality Scale. It covers config-entry diagnostics and lists data that should be removed.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/l3digitalnet/claude-code-plugins/ha-diagnostics"><img src="https://agentmods.dev/badge/skills/l3digitalnet/claude-code-plugins/ha-diagnostics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,834 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 $0.00041 $0.01834
Opus 5.5 $0.00016 $0.00734
Sonnet 5.5 $0.00008 $0.00367
Haiku 4.5 $0.00004 $0.00183

Measured 1mo ago against content hash 7a32b775a157, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ha-diagnostics 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-diagnostics/SKILL.md · 302 lines

How it starts

The opening of the file, as written. The whole thing — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Home Assistant Diagnostics Implementation

Diagnostics provide users and developers with structured debug information while protecting sensitive data. Required for Gold tier on the Integration Quality Scale.

File Structure

custom_components/{domain}/
├── __init__.py
├── diagnostics.py    # Diagnostics implementation
└── ...

Basic diagnostics.py Template

"""Diagnostics support for {Name}."""
from __future__ import annotations

from typing import Any

from homeassistant.components.diagnostics import async_redact_data
from homeassistant.config_entries import ConfigEntry
from homeassistant.core import HomeAssistant

# Keys to redact from diagnostics output
TO_REDACT = {
    # Authentication
    "password",
    "token",
    "api_key",
    "access_token",
    "refresh_token",
    "secret",
    "credentials",
    # Personal information
    "email",
    "username",
    "serial",
    "serial_number",
    "unique_id",
    "mac",
    "mac_address",
    # Location
    "latitude",
    "longitude",
    "location",
    "address",
}


async def async_get_config_entry_diagnostics(
    hass: HomeAssistant, entry: ConfigEntry
) -> dict[str, Any]:
    """Return diagnostics for a config entry."""
    coordinator = entry.runtime_data

    return {
        "config_entry": async_redact_data(entry.as_dict(), TO_REDACT),
        "coordinator_data": async_redact_data(
            coordinator.data if coordinator.data else {}, TO_REDACT
        ),
    }

Advanced Diagnostics with Device Info

"""Diagnostics support for {Name}."""
from __future__ import annotations

from typing import Any

from homeassistant.components.diagnostics import async_redact_data
from homeassistant.config_entries import ConfigEntry
from homeassistant.core import HomeAssistant
from homeassistant.helpers import device_registry as dr, entity_registry as er

TO_REDACT = {
    "password",
    "token",
    "api_key",
    "access_token",
    "refresh_token",
    "secret",
    "email",
    "username",
    "serial",
    "serial_number",
    "unique_id",
    "user_id",
    "credentials",
    "mac",
    "mac_address",
    "latitude",
    "longitude",
}

# Additional keys in nested structures
TO_REDACT_NESTED = TO_REDACT | {"ip_address", "host", "ssid"}


async def async_get_config_entry_diagnostics(
    hass: HomeAssistant, entry: ConfigEntry
) -> dict[str, Any]:
    """Return diagnostics for a config entry."""
    coordinator = entry.runtime_data

    # Get device and entity info
    device_registry = dr.async_get(hass)
    entity_registry = er.async_get(hass)

    devices = []
    for device in dr.async_entries_for_config_entry(device_registry, entry.entry_id):
        entities = []
        for entity in er.async_entries_for_device(
            entity_registry, device.id, include_disabled_entities=True
        ):
            entities.append({
                "entity_id": entity.entity_id,
                "disabled": entity.disabled,
                "disabled_by": entity.disabled_by,
                "platform": entity.platform,
            })

        devices.append({
            "name": device.name,
            "model": device.model,
            "manufacturer": device.manufacturer,
            "sw_version": device.sw_version,
            "hw_version": device.hw_version,
            "entities": entities,
        })

    return {
        "config_entry": {
            "entry_id": entry.entry_id,
            "version": entry.version,
            "domain": entry.domain,
            "title": entry.title,
            "data": async_redact_data(dict(entry.data), TO_REDACT),
            "options": async_redact_data(dict(entry.options), TO_REDACT),
        },
        "devices": devices,
        "coordinator": {
            "last_update_success": coordinator.last_update_success,
            "last_exception": str(coordinator.last_exception) if coordinator.last_exception else None,
            "update_interval": str(coordinator.update_interval),
            "data": async_redact_data(coordinator.data, TO_REDACT_NESTED) if coordinator.data else None,
        },
    }

Read the full file on GitHub · 302 lines

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 · 302 lines · 41 tokens per session scan A 7a32b775a157

Subscribe to this mod's changes

ha-diagnostics is a skill published in the GitHub repository L3DigitalNet/Claude-Code-Plugins (8 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 1,834 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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