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.
npx skills add L3DigitalNet/Claude-Code-Plugins --skill ha-config-flowgit clone --depth 1 https://github.com/L3DigitalNet/Claude-Code-PluginsWrote 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.
[](https://agentmods.dev/skills/l3digitalnet/claude-code-plugins/ha-config-flow)<a href="https://agentmods.dev/skills/l3digitalnet/claude-code-plugins/ha-config-flow"><img src="https://agentmods.dev/badge/skills/l3digitalnet/claude-code-plugins/ha-config-flow/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.
<a href="https://agentmods.dev/skills/l3digitalnet/claude-code-plugins/ha-config-flow"><img src="https://agentmods.dev/badge/skills/l3digitalnet/claude-code-plugins/ha-config-flow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.01048 |
| Opus 5.5 | $0.00016 | $0.00419 |
| Sonnet 5.5 | $0.00008 | $0.00210 |
| Haiku 4.5 | $0.00004 | $0.00105 |
Grade A, and why
ha-config-flow 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.
How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Home Assistant Config Flow Development
Config flows are required for the Integration Quality Scale (Bronze+) and for any integration that connects to a device or service. They provide a guided UI-based setup experience that replaces YAML configuration.
config_flow.py Template (2025)
"""Config flow for {Name} integration."""
from __future__ import annotations
import logging
from typing import Any
import voluptuous as vol
from homeassistant.config_entries import (
ConfigEntry,
ConfigFlow,
ConfigFlowResult,
OptionsFlow,
)
from homeassistant.const import CONF_HOST, CONF_PASSWORD, CONF_USERNAME
from homeassistant.core import callback
from .const import DOMAIN
_LOGGER = logging.getLogger(__name__)
class {Name}ConfigFlow(ConfigFlow, domain=DOMAIN):
"""Handle a config flow for {Name}."""
VERSION = 1
async def async_step_user(
self, user_input: dict[str, Any] | None = None
) -> ConfigFlowResult:
"""Handle the initial step."""
errors: dict[str, str] = {}
if user_input is not None:
try:
info = await self._async_validate_input(user_input)
except CannotConnect:
errors["base"] = "cannot_connect"
except InvalidAuth:
errors["base"] = "invalid_auth"
except Exception:
_LOGGER.exception("Unexpected exception")
errors["base"] = "unknown"
else:
await self.async_set_unique_id(info["unique_id"])
self._abort_if_unique_id_configured()
return self.async_create_entry(title=info["title"], data=user_input)
return self.async_show_form(
step_id="user",
data_schema=vol.Schema({
vol.Required(CONF_HOST): str,
vol.Required(CONF_USERNAME): str,
vol.Required(CONF_PASSWORD): str,
}),
errors=errors,
)
async def _async_validate_input(self, data: dict[str, Any]) -> dict[str, Any]:
"""Validate credentials and return device info."""
client = MyClient(data[CONF_HOST], data[CONF_USERNAME], data[CONF_PASSWORD])
device_info = await client.async_get_info()
return {"title": device_info["name"], "unique_id": device_info["serial"]}
@staticmethod
@callback
def async_get_options_flow(config_entry: ConfigEntry) -> OptionsFlow:
# See ha-options-flow for the OptionsFlow implementation
return {Name}OptionsFlow()
class CannotConnect(Exception):
"""Error indicating connection failure."""
class InvalidAuth(Exception):
"""Error indicating invalid credentials."""
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.
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.
- 1mo ago First seen · 144 lines · 40 tokens per session scan A 4800a7da370b
ha-config-flow is a skill published in the GitHub repository L3DigitalNet/Claude-Code-Plugins (8 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 1,048 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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