ha-selora-ai: Instructions file for Claude Code

CLAUDE.md

ha-selora-ai CLAUDE.md is an instructions file for Claude Code from SeloraHomes/ha-selora-ai. It costs 3,767 tokens per session, scanned A, original, MIT.

Repository guidance for coding agents maintaining a Selora AI integration for Home Assistant, a platform for controlling smart-home devices. It describes the integration's architecture, files, and conventions.

In plain words
What is it for?
Use it when modifying device discovery, natural-language commands, data collection, model connections, sensors, or generated automations.
Why use it?
It explains how device data, language models, suggestions, and Home Assistant automations fit together, reducing the risk of inconsistent changes.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md.

This is SeloraHomes/ha-selora-ai's own configuration. It tells Claude Code how to work on ha-selora-ai itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ha-selora-ai configures →

Reuse

Borrowing it

Nothing to install: this file belongs to SeloraHomes/ha-selora-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/SeloraHomes/ha-selora-ai/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/SeloraHomes/ha-selora-ai

Made for: Claude Code.

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Per session 3,767 This file is loaded in full into every session.
When invoked 3,767 The same file — it is already loaded in full.
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 $0.03767 $0.03767
Opus 5.5 $0.01507 $0.01507
Sonnet 5.5 $0.00753 $0.00753
Haiku 4.5 $0.00377 $0.00377

Measured 4d ago against content hash 37bed1533e8d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ha-selora-ai CLAUDE.md 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 4d 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.

CLAUDE.md · 249 lines

How it starts

The opening of the file, as written. The whole thing — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Selora AI — Home Assistant Integration

Read by AI coding assistants on every session, so it holds only what applies repo-wide. Record a rule and its reason, not the story of how it was found (that belongs in the commit message), and nothing the code already says — what a module does belongs in its docstring, setup and deployment in CONTRIBUTING.md, a single feature's rules in docs/dev/.

A custom integration (custom_components/selora_ai/) that analyzes a home's devices and usage with an LLM (Selora Cloud, Selora AI Local, Anthropic, Gemini, OpenAI, OpenRouter, Ollama), proposes automations, scenes and dashboards, and takes natural-language commands from its own panel, from Assist, and over MCP.

Conventions

Python

  • Python 3.14 (CI also runs 3.13), async throughout, from __future__ import annotations in every file.
  • Fully typed, modern syntax (str | None). Use the TypedDicts in types.py rather than dict[str, Any]; bare Any only for genuinely dynamic data (raw external JSON, HA store loads). Annotation-only imports go under TYPE_CHECKING.
  • _LOGGER = logging.getLogger(__name__).
  • Catch specific exceptions, never bare except Exception.
  • No secrets in code — API keys come from the config entry.
  • uuid.uuid4() for ids, never hashlib.md5 (SAST flags it).
  • Don't import dataclasses.field unless it is used.

Home Assistant

  • Config entries carry entry_type: "llm_config" or "device_onboarding". The first entry configures the LLM; "Add Entry" goes straight to device discovery.
  • Config-flow step ids must match keys in strings.json.
  • Entities use _attr_has_entity_name = True and reference the hub device (DOMAIN, "selora_ai_hub").
  • Lovelace is written through its API (LovelaceStorage.async_save), never by file.
  • Never auto-accept discovered devices; never auto-configure an API key.
  • A startup deferral is a TIMER, never a task that sleeps out its own delay. hass.async_create_task registers the task, so bootstrap, every entry reload and every test's async_block_till_done() wait for it — await asyncio.sleep(120) in a task made a 400ms test take 120s, and checking the feature flag after the sleep does not help. Arm with async_call_later, fire the work with async_create_background_task (which async_block_till_done() does not wait on), cancel the timer on unload before the first await, and let the callback tolerate a torn-down entry. Patterns: health_monitor.py, insights_audit.py, insights_export.py. tests/test_startup_delays.py guards by TIMEOUT — a regression makes a test slow, not red.

Read the full file on GitHub · 249 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. 4d ago Changed · +4 lines · +57 tokens per session 37bed1533e8d
  2. 6d ago Changed · +5 lines · +77 tokens per session 4e7ff6cb4fd2
  3. 7d ago Changed · +16 lines · +279 tokens per session a928928e3e21
  4. 14d ago Changed · +1 lines · +21 tokens per session b567e14ba7fd
  5. 19d ago Changed · +1 lines · +20 tokens per session dbf9606c556d
  6. 27d ago Changed · +1 lines · +17 tokens per session ebb37ec40ef2
  7. 28d ago Changed · +2 lines · +28 tokens per session 395b0cebaf10
  8. 1mo ago Changed · +2 lines · +35 tokens per session 66800ace2456
  9. 1mo ago Changed · +9 lines · +146 tokens per session 15af11a336f4
  10. 1mo ago First seen · 208 lines · 3,087 tokens per session scan A 3be6e92b4ac8

Subscribe to this mod's changes

ha-selora-ai CLAUDE.md is an instructions file published in the GitHub repository SeloraHomes/ha-selora-ai (92 stars, last pushed yesterday), licensed MIT. It adds 3,767 tokens to every session, about $0.0151 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 2026-08-30.

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