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.
curl -O https://raw.githubusercontent.com/SeloraHomes/ha-selora-ai/main/CLAUDE.mdgit clone --depth 1 https://github.com/SeloraHomes/ha-selora-aiWrote 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/instructions/selorahomes/ha-selora-ai/claude-md)<a href="https://agentmods.dev/instructions/selorahomes/ha-selora-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/selorahomes/ha-selora-ai/claude-md/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/instructions/selorahomes/ha-selora-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/selorahomes/ha-selora-ai/claude-md.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 | $0.03767 | $0.03767 |
| Opus 5.5 | $0.01507 | $0.01507 |
| Sonnet 5.5 | $0.00753 | $0.00753 |
| Haiku 4.5 | $0.00377 | $0.00377 |
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.
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 indocs/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 annotationsin every file. - Fully typed, modern syntax (
str | None). Use the TypedDicts intypes.pyrather thandict[str, Any]; bareAnyonly for genuinely dynamic data (raw external JSON, HA store loads). Annotation-only imports go underTYPE_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, neverhashlib.md5(SAST flags it).- Don't import
dataclasses.fieldunless 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 = Trueand 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_taskregisters the task, so bootstrap, every entry reload and every test'sasync_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 withasync_call_later, fire the work withasync_create_background_task(whichasync_block_till_done()does not wait on), cancel the timer on unload before the firstawait, and let the callback tolerate a torn-down entry. Patterns:health_monitor.py,insights_audit.py,insights_export.py.tests/test_startup_delays.pyguards by TIMEOUT — a regression makes a test slow, not red.
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.
- 4d ago Changed · +4 lines · +57 tokens per session 37bed1533e8d
- 6d ago Changed · +5 lines · +77 tokens per session 4e7ff6cb4fd2
- 7d ago Changed · +16 lines · +279 tokens per session a928928e3e21
- 14d ago Changed · +1 lines · +21 tokens per session b567e14ba7fd
- 19d ago Changed · +1 lines · +20 tokens per session dbf9606c556d
- 27d ago Changed · +1 lines · +17 tokens per session ebb37ec40ef2
- 28d ago Changed · +2 lines · +28 tokens per session 395b0cebaf10
- 1mo ago Changed · +2 lines · +35 tokens per session 66800ace2456
- 1mo ago Changed · +9 lines · +146 tokens per session 15af11a336f4
- 1mo ago First seen · 208 lines · 3,087 tokens per session scan A 3be6e92b4ac8
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.
ha-selora-ai CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ha-selora-ai CLAUDE.mdSeloraHomes/ha-selora-ai | Instructions file | 92 | yesterday | MIT | A | 3,767 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
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| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |